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Effects of misalignment between transmission and emission scans on attenuation-corrected cardiac SPECT

Authors:
  • Saitama Medical University Hospital, Saitama, Japan
  • Klinikum der Universität München, Ludwig-Maximilians Universität

Abstract and Figures

Misalignment between transmission and emission scans in attenuation-corrected (AC) cardiac SPECT can introduce errors of measured activity. The severity of these errors, however, has not yet been fully elucidated. We performed a phantom measurement as well as a study of patients with low likelihood of coronary artery disease. Transmission and emission scans were acquired using a triple-head SPECT system with a collimated 241Am line source and an offset fanbeam collimator. The left ventricular myocardium was divided into five segments, and the mean regional activity was calculated for each segment using a semiquantitative polar map approach. Misalignment between transmission and emission data was created by shifting the emission data along the x, y or z axis. In the heart phantom, a shift between the transmission and emission data produced a decrease or increase in relative regional activity in each segment resulting in heterogeneous activity distribution. A 7-mm (1-pixel) shift produced up to 15% change in relative regional activity, suggesting that even a small misalignment between transmission and emission data can produce serious errors in measured activity. In the clinical data, the effects of misalignment were less significant than those observed in the phantom data but were still measurable and visually identifiable. The results indicate that a small misalignment between the transmission and emission data can produce serious errors in measured activity, and, thus, geometrical precision is essential for accurate diagnosis of AC SPECT images.
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Effects of Misalignment Between Transmission and
Emission Scans on Attenuation-Corrected Cardiac
SPECT
Ichiro Matsunari, Guido Boning, Sibylle I. Ziegler, Istvan Kosa, Stephan G. Nekolla, Edward P. Picaro and Markus Schwaiger
Nulearmedizinische Klinik und Poliklinik der Technischen Universität München,Klinikum rechts der Isar, München,
Germany; and Department of Internal Medicine, Division of Nuclear Medicine, University of Michigan Medical Center, Ann
Arbor, Michigan
Misalignment between transmission and emission scans in attenu
ation-corrected (AC) cardiac SPECT can introduce errors of mea
sured activity. The severity of these errors, however, has not yet
been fully elucidated. Methods: We performed a phantom mea
surement as well as a study of patients with low likelihood of
coronary artery disease. Transmission and emission scans were
acquired using a triple-head SPECT system with a collimated 241Am
line source and an offset fanbeam collimator. The left ventricular
myocardium was divided into five segments, and the mean regional
activity was calculated for each segment using a semiquantitative
polar map approach. Misalignment between transmission and emis
sion data was created by shifting the emission data along the x, y or
z axis. Results: In the heart phantom, a shift between the transmis
sion and emission data produced a decrease or increase in relative
regional activity in each segment resulting in heterogeneous activity
distribution. A 7-mm (1-pixel) shift produced up to 15% change in
relative regional activity, suggesting that even a small misalignment
between transmission and emission data can produce serious
errors in measured activity. In the clinical data, the effects of
misalignment were less significant than those observed in the
phantom data but were still measurable and visually identifiable.
Conclusion: The resultsindicatethat a small misalignmentbetween
the transmission and emission data can produce serious errors in
measured activity, and, thus, geometrical precision is essential for
accurate diagnosis of AC SPECT images.
Key Words: attenuation correction;SPECT; transmission;emission
scans; misalignment
J NucÃ-Med 1998; 39:411-416
rVttenuation artifacts are known to reduce the diagnostic
accuracy of cardiac SPECT imaging. Recently, approaches for
attenuation correction have been proposed (1-3), and clinical
results have shown its use for improving the detection of
coronary artery disease (4) as well as the identification of viable
myocardium (5). Misalignment between transmission and emis
sion scans, on the other hand, can introduce errors of measured
activity into attenuation-corrected (AC) SPECT images. This is
particularly true when a sequential acquisition of transmission
and emission scans is performed because such misalignment
can easily be introduced by patient motion between the trans
mission and emission scans.
Similar errors between transmission and emission data could
also occur in multidetector SPECT systems with simultaneous
transmission and emission scan capability if transmission and
emission images are acquired using separate heads or if one or
more detectors become misaligned. Considering the increasing
availability of attenuation correction techniques for cardiac
Received Dec. 12, 1996; revision accepted Jun. 12, 1997.
For correspondence or reprints contact: Markus Schwaiger, MD, Nuklearmediz
inische Klinik und Poliklinik der Technischen UniversitätMünchen,Klinikum rechts der
Isar, Ismaninger Str. 22, 81675 München,Germany.
SPECT imaging, it would be useful to know how such mis
alignment affects AC SPECT images.
Thus, this study was designed to evaluate the effect of errors
caused by misalignments between the transmission and emis
sion data on AC cardiac SPECT images acquired over 360°.
Because evaluation of SPECT images usually relies on relative
regional activity rather than absolute value, we only studied the
misalignment effects on relative regional activity.
MATERIALS AND METHODS
Cardiac Phantom
The phantom study was performed using an elliptical cylinder
chest phantom (32X23X 17.7 cm) (RTW, Freiburg, Germany) with
cardiac inserts (Model 7070, Data Spectrum Corp., Chapel Hill,
NC). A balloon filled with approximately 200 ml of radioinactive
water was also inserted in the right lower part of the chest phantom
to simulate diaphragmatic attenuation. The myocardium was filled
with 50 MBq (0.45 MBq/ml) 99mTc.The chest wall, as well as the
ventricular cavity, were filled with radioinactive water. The phan
tom had a chest cavity with air around the heart insert to simulate
lungs.
Patients with Low Likelihood of Coronary Artery Disease
Ten patients (8 men, 2 women; age range 50-67 yr; mean age
58 ±5 yr) with low likelihood (^5%) of coronary artery disease
based on age, sex, history and exercise electrocardiogram were
studied (6).
Symptom-limited treadmill exercise was performed, and 740-
1110 MBq (20-30 mCi) 99mTc-sestamibi was injected at peak
exercise. Imaging was started 20-30 min postinjection using
identical acquisition parameters (e.g., scan time, energy window)
used for the phantom study.
Data Acquisition
Simultaneous transmission and emission measurement was per
formed using a triple-head SPECT system (MULTISPECT 3,
Siemens AG, Erlangen, Germany) equipped with a low-energy,
fanbeam collimator with a focal length of 53 cm with its focal line
offset by 17 cm for detector 1 and with low-energy, high-
resolution, parallel-hole collimators for detectors 2 and 3 (5.7,8).
The transmission line source consisted of a 5.55 GBq (150 mCi)
24'Am line source sealed in a stainless steel tube.
Transmission and emission projection data were acquired simul
taneously in 64X64 matrices. Images were acquired in 6°steps
over 360°for 20 sec per projection. An energy window of 59.0 ±
5.9 keV was used for the 241Amtransmission photons, and a 15%
window centered on the 140-keV peak was used for the emission
data. An 80-sec transmission blank scan was acquired to compute
attenuation maps from the transmission data.
MISALIGNMENTONATTENUATION-CORRECTEDSPECT •Matsunari et al. 411
FIGURE 1. Schematic representa
tion of polar map display. The left
ventricular myocardium was divided
into five segments. After normaliz
ing pixel values for the region show
ing the maximal activity in the myo
cardium, the mean relative regional
activity was calculated for each
segment.
Left Ventricular Myocardium
Septan Apex Lateral
Processing of SPECT Data
Image reconstruction of SPECT data was performed in a manner
similar to that previously reported (4,9) except for the use of
filtered backprojection (FBP) to reconstruct transmission data.
Rather than iterative methods, FBP was used to reconstruct the
transmission data in this study because the geometry used provided
a transmission imaging field-of-view of 39 cm, yielding little
truncation of the transmission data, and because FBP requires less
computational power compared to iterative reconstruction meth
ods. As previously described by Ficaro et al. (4), the main reason
for the use of iterative reconstruction for transmission data is to
minimize truncation problems, and, theoretically, the use of FBP to
reconstruct transmission data should not alter results. After the
correction of down scatter from the emission to transmission data,
misalignment between transmission and emission data was created
by manipulating emission projection data along the x- (right/left),
y- (up/down) and z-axis (cephalad/caudal) according to the shift
desired. This manipulation produced the effect that would have
been obtained had the subject actually moved to the new position
between transmission and emission scans. It also represents the
situation in which camera heads used for emission acquisition are
not aligned to the detector that acquires transmission data. No
manipulation was performed for transmission data. The magnitude
of the shift ranged from I to 5 pixels, where 1-pixel was 7-mm. The
emission images were then reconstructed using an iterative recon
struction method [penalized weighted least-squares algorithm (10)]
with reconstructed attenuation maps to correct the emission data
for photon attenuation.
In the setup used in this study, transmission and emission data
were acquired simultaneously in different heads. Careful alignment
procedure and calibration tools provided by the manufacturer were
used to assure data acquisition without misalignment. The calibra
tion tools used in this study included those for source-to-detector
distance, fanbeam offset and pixel sizes.
Data Analysis
Image data analysis was performed using a semiquantitative
polar map approach, which was developed in our laboratory. This
method involved two steps. First, the long axis of the left ventricle
was defined interactively in three dimensions. Second, an auto
matic volumetric radial search for activity maxima was performed
(/ /) creating 15 short-axis slices. This procedure was performed by
a single operator, and great care was taken to keep a consistent axis
in the aligned and misaligned image dataseis for each patient. The
left ventricular myocardium was then divided into five segments as
displayed in Figure 1. The SPECT images were normalized to the
pixel showing maximal value in the left ventricular myocardium.
The mean relative regional activity was then calculated for each
segment. The mean relative regional activity data in each segment
without any misalignment served as the control data, while the
mean regional activity for each segment from images reconstructed
FIGURE 2. Effects of a 21 -mm (3-pixel) displacement of the emission data in
various directions on a homogeneous cardiac phantom. The control image
with no misalignment shows uniform myocardial distribution (center), while
misalignment in any direction causes apparent inhomogeneity in myocardial
distribution on the reconstructed emission image.
with various misalignments are referred to as the misaligned data.
The changes of the mean relative regional activity in each segment
between the control and misaligned data were calculated as indices
of errors.
Statistical Analysis
Data were expressed as mean ±s.d. The mean values were
compared using a Wilcoxon signed rank test. Statistical signifi
cance was defined as p < 0.05.
RESULTS
Phantom Study
Reconstructed short-axis slices of the cardiac phantom, with
a 21-mm (3-pixel) misalignment in various directions, are
displayed in Figure 2. The visual effect of misalignment is
readily apparent from the emission images. Changes in relative
regional activity from shifting the emission data by various
degrees and directions are shown in Figure 3. A shift between
the transmission and emission data, regardless of its direction,
produced a decrease or increase in relative regional activity in
all five segments. Notably, a right shift as small as 7-mm
(1-pixel) produced 15% change of relative regional activity in
the septal wall. For a given misalignment, the severity of such
changes differed from segment to segment resulting in inhomo
geneity of activity distribution in the myocardium.
Clinical Study
The effects of misalignment in the human heart from a
21-mm (3-pixel) shift, as was done in the phantom data, are
displayed in Figure 4. Similar to the phantom results, inhomo
geneity produced by the misalignment between transmission
and emission data are visually noted. The degree of change,
however, was less significant than that seen in the phantom
data. The relationship between the degree of displacement and
the severity of errors in relative regional activity on the AC
SPECT images is shown in Figure 5. The values are reported as
an average from all 10 patients. As was observed in the
412 THEJOURNALOFNUCLEARMEDICINE•Vol. 39 •No. 3 •March 1998
20
10
O
'S-10
¿-20
2 -30
t -40
m -50
Right/Left 20
10
O
0-10
¿-20
«2-30
t-40
LU
-42 -28 -14 O 14 28 42
Misalignment (mm) left
Up/Down
20
10
O
"5-10
¿-20
2-30
fc-40
m -50
-42 -28 -14 0 14 28 42
down Misalignment (mm) up
Cephalad/Caudal
-42 -28 -14 0 14 28 42
caudal Misalignment (mm) cephalad
FIGURE 3. Changes in relative regional
activity as a function of misalignment be
tween transmission and emission data on
a cardiac phantom are shown for each of
five segments. The directions shown on
each graph indicate the direction in which
the emission data have been shifted rel
ative to the transmission data.
phantom data, a shift of the emission data produced changes in
relative regional activity. Nevertheless, the effect of misalign
ment was less significant in patients than in the phantom. For
example, a 21-mm (3-pixel) shift produced errors of more than
10% in 1.0 ±0.6 of the five segments for each direction
compared to 3.8 ±0.4 of the segments in the phantom data
(p = 0.026). The effect of misalignment along the z-axis
FIGURE 4. Effects of a 21-mm (3-pixel) misalignment on "Tc-sestamibi
activity distribution from a patient with low likelihood of coronary artery
disease. A shift of the emission data relative to the transmission data
introduces inhomogeneity in myocardial distribution into the reconstructed
emission image.
(cephalad/caudal), especially in the caudal direction, was less
significant than that along the x- (right/left) or y-axis (up/
down). However, the effect of shifting the emission data was
measurable and visually identifiable in Figures 4 and 5. A 7-mm
(1-pixel) right shift, for example, produced a mean 7% ±5%
change in relative regional activity in the septal wall. This
increased to a mean of 14% ±6% when the emission data were
shifted by 14 mm (2 pixels).
Tables 1-3 show the effects of misalignment in 10 patients.
It is noted that, for a given misalignment, there was a consid
erable variation in measured errors from patient to patient
indicating that the severity of errors is difficult to predict from
the magnitude of misalignments in some patients.
DISCUSSION
The major findings of this study were: (1) a shift between
transmission and emission data, regardless of its direction,
produced a decrease or increase in relative regional activity in
all five segments; (2) in the cardiac phantom, a 7-mm (1-pixel)
shift produced up to 15% change in relative regional activity
and (3) the errors in the human heart were less significant than
those observed in the phantom but were still measurable.
Effects of Misalignment in the Phantom
Our data clearly show that misalignment between transmis
sion and emission data can cause serious errors in relative
regional activity on AC SPECT images. This is consistent with
published data by Murase et al. (12) who studied the effects of
misalignment in a thorax phantom as well as in clinical brain
data. A misalignment as small as a 7-mm (1-pixel) shift created
up to 15% change in measured activity suggesting that even a
small shift can lead to serious errors in measured activity in the
AC SPECT images. For a given misalignment, these effects are
different in different segments. Some segments decrease in
relative regional activity, and others increase resulting in rather
markedly inhomogeneous distribution in the myocardium.
Thus, geometrical precision between transmission and emission
data is critical for the accurate measurement of AC SPECT
MISALIGNMENTONATTENUATION-CORRECTEDSPECT •Matsunari et al. 413
FIGURE 5. Changes in relative regional
activity, as a function of misalignment
between transmission and emission data,
are shown for each of five segments and
are an average of all 10 patients. The
directions shown on each graph indicate
the direction in which the emission data
have been shifted relative to the transmis
sion data.
Right/Left
-42
right -28 -14 0 14 28 42
Misalignment (mm) left
20
ÃŽ10
8. 0
o -10
¿-20
«-30
§-40
"-50
Up/Down
20
10
o
•5-10
¿-20
«-30
2-40
UJ
-42 -28 -14 0 14 28 42
down Misalignment (mm) up
Cephalad/Caudal
-50-42 -28 -14 0 14 28 42
caudal Misalignment (mm) cephaiad
images. It should be noted, however, that these results are based
on a simple phantom without factors confounding the interpre
tation of data (e.g., variation in thorax geometry). Although
phantom studies would give useful information as to the effect
of such misalignment in a clean situation, clinical study is
important to confirm the phantom data.
Clinical Data
To date, there is little data available for the effects of
misalignment between transmission and emission data on AC
cardiac SPECT images in humans (13). As expected from the
phantom data, misalignment between the transmission and
emission data produced errors in measured activity on AC
emission images. The severity and extent of errors, however,
was less significant in humans than that observed in the
phantom. This is explained by blurring in both transmission and
emission data caused by cardiac motion, by breathing and by
different thorax structures of patients from that of the most
simplified chest phantom. In one PET study (14), estimates for
range of expected misalignments due to repositioning patients
between transmission and emission scans were reportedly x,
y < 6 mm and for z < 11 mm. If the misalignments are kept
small (within 7-mm or 1-pixel), the errors may be kept under
10%. However, a 14-mm (2-pixel) shift readily causes up to
14% error in the measurement. It should be noted that these
errors are an averaged value from all 10 patients. Therefore, the
severity of errors differs from patient to patient, depending on
details of body habitus, etc., and some patients show a greater
magnitude of errors than what was reported as an averaged
value (Tables 1-3).
In addition to these observations, a shift along the z-axis
(cephalad/caudal) appears to cause less distortion per pixel of
shift than does the equivalent x (right/left) and y (up/down)
shifts. This is in agreement with a PET study assessing errors in
the emission data caused by misalignment between the trans
mission and emission scans (75). This is probably because a
displacement along the z-axis does not produce as large a
TABLE 1
Error in Relative Regional Activity Caused by Misalignment (21 mm) Between Transmission and EmisiónData Along X-Axis
AnteriorPatient
no.12345678910SexMMMFFMMMMMRight-9.7-17.0-9.2-8.7-8.5-6.2-7.4-11.6-12.3-16.7Left-4.0-10.0-4.2-1.6-5.6-10.6-9.2-9.2-12.9-2.6SeptalRight-21.7-28.0-23.8-19.8-19.0-10.4-18.3-30.5-23.0-25.7Left0.41.53.91.0-1.43.60.6-7.4-1.64.1InferiorRight-6.7-12.2-7.4-3.5-8.0-6.2-7.8-10.4-11.1-11.7Left-1.6-8.91.2-3.1-3.0-1.4-4.1-10.1-8.63.5LateralRight3.5-5.80.33.0-0.75.31.96.14.0-2.6Left-13.5-21.4-20.5-11.3-18.6-14.8-16.3-18.8-25.2-12.3ApexRight-2.7-8.7-9.0-5.0-5.6-0.6-5.1-5.5-12.2-8.2Left-9.5-10.3-11.0-6.4-7.3-5.8-11.9-12.1-20.6-2.7
Mean ±s.d. 10.8 ±3.7 -7.0 ±3.9 -22.0 ±5.7 0.5 ±3.4 -8.5 ±2.8 -3.6 ±4.4 1.5 ±3.7 -17.1 ±4.5 -6.2 ±3.3 - 9.8 ±5.0
Values indicate errors in relative regional activity (% of peak activity) introduced by a 21-mm misalignment.
414 THE JOURNALOFNUCLEARMEDICINE•Vol. 39 •No. 3 •March 1998
TABLE 2
Error in Relative Regional Activity Caused by Misalignment (21 mm) Between Transmission and Emisión Data Along Y-Axis
Anterior Septal Inferior Lateral Apex
Patient no. Sex Down Up Down Up Down Up Down Up Down Up
12345678g10MMMFFMMMMM0.33.40.9-4.2-3.2-0.3-1.42.84.1-1.8-3.0-6.8-6.1-9.6-6.7-3.3-8.1-4.3-2.1-9.3-9.4-1.4-5.0-2.5-7.2-3.9-9.8-7.3-5.4-11.7-13.0-10.9-12.0-15.1-11.7-4.1-11.4-14.7-3.2-10.0-7.7-2.5-3.7-15.9-13.7-2.7-6.5-11.6-5.5-6.83.81.80.4-3.90.77.11.03.07.31.6-12.8-8.9-18.6-24.4-21.8-8.7-16.3-14.7-10.0-17.04.6-2.8-1.1-0.2-1.13.3-1.46.44.3-2.56.07.08.2-4.15.28.06.46.49.611.6-2.0-12.4-12.2-12.7-11.4-5.8-12.2-4.3-9.8-11.9
Mean±s.d. 0.1±2.8-5.9±2.7-6.4±3.4-10.6±4.0 -7.7±4.7 2.3±3.3 -15.4±5.3 1.0±3.46.4±4.2 -9.4±3.9
Values indicate errors in relative regional activity (% of peak activity) introduced by a 21-mm misalignment.
movement of myocardium into the lung field as does x or y
movement depending on heart axis orientation.
Study Limitations
There are several limitations in our study. First, it is uncertain
to what extent the results with the uniform cardiac phantom we
used are applicable to the phantom with defects. We did not
investigate the effects of misalignment in patients having
perfusion defects. Second, the small number of patients studied
precluded us from performing a gender-specific analysis of
misalignment effects in a meaningful way. Third, patient
motion during acquisition was not considered in our study,
which may also cause additional artifacts. Finally, our current
software did not allow for the assessment of the effect of
rotational misalignment. These issues need to be addressed in
any further phantom and clinical studies.
Implications of the Study
Attenuation correction using measured attenuation maps is
one of the most important developments in recent SPECT
technology. When it is applied to cardiac SPECT imaging, an
improved diagnostic accuracy can be expected by reducing
attenuation artifacts. There are several approaches proposed for
the attenuation correction (1,2,9). Some of these use sequential
imaging of transmission and emission scans (16), and others use
simultaneous transmission and emission measurement (9).
When sequential imaging is performed, misalignment between
transmission and emission scans can be caused by patient
motion. As reported in this study, it is obvious that such patient
motion can cause serious errors in measured activity in AC
SPECT. In this regard, simultaneous transmission and emission
measurement, rather than separate acquisition, is preferable
because it virtually eliminates errors caused by patient motion
between the scans.
With multidetector SPECT systems, transmission and emis
sion images are simultaneously acquired using separate heads
as is the case in our system and others (1,2). Misalignment
between the camera heads is minimized by routine quality
control, including center-of-rotation correction. When using
nonparallel-hole collimators, such as fanbeam or offset fanbeam
collimators, precision measurements must be performed to
determine the exact localization and stability of the transmis
sion source relative to the focus of the fanbeam collimator. If
this is not assured, misalignment between transmission and
emission projections will result after rebinning to parallel hole
geometry, and this will introduce errors in measured activity on
the reconstructed AC SPECT images. Depending on varying
geometrical errors, different distortions of the reconstructed
transmission data can be observed as shown in Figure 6. It is
also noteworthy that this effect is not constant for each location
in the transmission image. In addition, pixel size and homoge
neity of fanbeam and parallel-hole collimators must be deter
mined to avoid mismatching of reconstructed attenuation maps
and emission images. Routine quality assurance, including
fanbeam parameters, is important in systems with simultaneous
TABLE 3
Error in Relative Regional Activity Caused by Misalignment (21 mm) Between Transmission and Emisión Data Along Z-Axis
Anterior Septal Inferior Lateral Apex
Patient no. Sex Caudal Cephalad Caudal Cephalad Caudal Cephalad Caudal Cephalad Caudal Cephalad
12345678910MMMFFMMMMM6.63.52.65.00.20.33.51.42.4-0.2-10.3-11.6-8.8-14.1-12.7-15.5-13.3-8.0-9.4-9.6-2.5-0.8-4.4-3.4-4.7-2.6-5.2-1.8-1.2-6.71.70.5-0.4-4.6-3.43.5-1.3-3.90.34.61.5-0.7-5.9-1.6-0.1-4.0-5.61.61.7-4.06.13.66.52.20.80.0-0.2-2.00.88.92.6-1.5-0.7-1.5-0.40.20.12.40.2-0.7-4.0-11.1-10.6-13.6-11.4-12.0-9.9-7.2-5.7-6.20.5-1.7-1.3-3.2-3.4-3.9-5.3-1.2-3.5-3.7-5.1-13.8-11.5-10.2-6.5-2.7-4.6-13.9-5.50.3
Mean ±s.d. 2.5 ±2.2 -11.3 ±2.4 -3.3 ±1.9 -0.3 ±3.1 -1.7 ±3.0 2.7 ±3.5 0.1 ±1.4 -9.2 ±3.2 -2.7 ±1.7 -7.3 ±4.8
Values indicate errors in relative regional activity (% of peak activity) introduced by a 21-mm misalignment.
MISALIGNMENTONATTENUATION-CORRECTEDSPECT •Matsunari et al. 415
SOURCE Original image
teta- 180dig.
COR)*
*fan
beam projection / /
with angle teta /•l ••''/''">f"*/fan_offset
-172.2mmIen
tnxf-63
,^. eHn lan-oeam projection ' '
^^^^ / ,' corresponding to angletota^WLxp
- 4ft pixel In parallel dole projection
^"<^^ corresponding to angle teU+phlsrc2d
fan_osrcZd
, fan_oet
+10 mm srcZd
Tset +- 0 mmfan_o-4--•4-et +10
(Tset - 10rmm
mmat
-10mm src2det -10mm
Tset +-0mm fan_offset +10mm*"*-
FIGURE 6. (A)Schematic of the fanbeam
geometry for the transmission measure
ment. Errors in the rebinned parallel hole
projection data can be introduced by
either those in source/detector distance
(src2det) or in fan_offset. COR indicates
the center of rotation. (B) Effects of wrong
geometrical values on the reconstructed
transmission image of a lead rod. The
upper right image displays the recon
structed transmission image without er
rors. The ¡magesdisplayed in the middle
and lower rows represent misaligned
transmission data due to the wrong val
ues for the distance between the trans
mission source and detector (src2det)
and/or for the fan_offset. The wrong geo
metrical parameters introduce not only
translocation but also distortion of the
transmission data.
transmission and emission measurement capability in order to
avoid such artifacts.
CONCLUSION
The results of our study indicate that it is essential for the
accurate diagnosis of AC cardiac SPECT images to ensure that
there is no geometrical error between transmission and emission
data.
ACKNOWLEDGMENTS
We thank Dr. Claire S. Duvernoy for her comments during
manuscript preparation. Dr. Matsunari was supported by Mitsu
bishi Research Institute, Japan.
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416 THEJOURNALOFNUCLEARMEDICINE•Vol. 39 •No. 3 •March 1998
... Anna Płachcińska et al., SPECT-CT misalignment Original a patient movement more likely. In the literature several publications on frequency and severity of misalignment between SPECT and CT studies as well as major sources of artifacts in corrected images can be found [11][12][13][14][15][16][17][18]. Some of those studies made use of heart phantoms [16], another ones of patient studies [13][14][15]17] or both -phantoms and patients [11,12,18]. ...
... In the literature several publications on frequency and severity of misalignment between SPECT and CT studies as well as major sources of artifacts in corrected images can be found [11][12][13][14][15][16][17][18]. Some of those studies made use of heart phantoms [16], another ones of patient studies [13][14][15]17] or both -phantoms and patients [11,12,18]. Authors of those studies present very diverse opinions on the effect of misalignment between SPECT and CT studies on attenuation -corrected perfusion images. ...
... Authors of those studies present very diverse opinions on the effect of misalignment between SPECT and CT studies on attenuation -corrected perfusion images. Some of them [11,12] claim that even a misalignment as small as half a pixel can cause visible differences between attenuation -corrected images before and after CT and SPECT alignment. On the other hand, Kennedy et al. [13] present opinion that only misalignments as large as 3 pixels should be considered significant. ...
Article
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BACKGROUND: Use of CT based attenuation correction (AC) for myocardial perfusion SPECT (MPS) is growing fast due to a rapid development of hybrid SPECT/CT systems. SPECT and CT studies are performed in a sequential way extending total study acquisition and making a patient movement more likely. The present work aims at answering the question how large misalignment between SPECT and CT studies should be considered significant and how often those misregistrations are observed. MATERIAL AND METHODS: A retrospective study applying AC was performed in 107 patients who had coronary angiography (CA) performed within 3 months. Patients underwent a stress/rest Tc-99m MIBI 2 day SPECT/CT myocardial perfusion study. In case of SPECT and CT misalignment CT slices were shifted manually; shifts along 3 axes were recorded and after realignment a repeat reconstruction was performed. Euclidean distance of misalignment was also calculated. Images were analyzed by two experienced nuclear medicine specialists (consensus) applying visual semiquantitative method. Perfusion of three arteries was scored using a 5 grade scale. CA results were used as a reference for MPS findings. RESULTS: In 47 patients (44%) CT realignment was necessary. CT was shifted mostly along x and y axes, and less often along z axis. Euclidean distance S exceeded 2 pixels in 3 stress and 2 rest studies. Only in 7 patients changes of scores assigned to coronary vessels were noted as a result of CT realignment. These changes concerned 9 vessel areas. In 7 out of 9 cases changes were noted toward a better agreement with results of CA. Only in one patient, with stress S > 3 pixels and negative result of CA, CT realignment changed vessel area score significantly, from probably abnormal to normal. CONCLUSIONS: Only misalignments large enough, exceeding 2-3 pixels, have negative impact on attenuation corrected images. Such misalignments are rare, in our material were observed in 3 stress and 2 rest studies (3% and 2% of all studies, respectively). Only in one patient (below 1% of all studied patients) CT misalignment caused a significant study misinterpretation. Although alignment of SPECT and CT studies should be checked in every patient, small misalignments do not affect study interpretation.
... Transmission-emission misregistration is quite common in MPI studies with reported frequencies up to 73% [6][7][8][9]. It affects regional tracer distribution in the myocardium and may give rise to artificial perfusion defects in both PET/CT [10][11][12] and SPET/CT MPI [7][8][9][13][14][15][16] although the latter seems to be less severely affected [17]. The presence, severity and location of these false positive abnormalities relates to the magnitude and direction of misregistration. ...
... The questions that arise in everyday practice are how serious the problem is from a diagnostic point of view and what the threshold, if any, over which misalignment is considered significant; clinically relevant misregistration should be repaired if possible, otherwise the attenuation corrected study should be ignored. Some studies in phantoms and humans have demonstrated that even slight (1-pixel) SPET/CT misregistration can introduce artifacts in certain areas of the myocardium which may be mistaken for true perfusion defects [13,15,16]. These data raise concern about the specificity of attenuation-corrected SPET and contradict the favorable results obtained so far [18]. ...
... Figure 6 titative effects of single-axis misregistration in tracer distribution across myocardial segments or walls and have also correlated the location and severity of artificial defects with the magnitude and the direction of misregistration. In this respect, most of our findings are in line with previous knowledge [5,8,9,13,14]. However, misregistration in clinical practice is usually multi-axial, each direction affects different areas of the myocardium with different severity and the net effect is complex. ...
Article
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OBJECTIVE: Previous studies indicate that the quality of single photon emission tomography/computed tomography (SPET/CT) myocardial perfusion imaging (MPI) is degraded by even mild transmission-emission misregistrations. The purpose of the current study was to investigate the impact of SPET/CT misalignment on the interpretation of MPI and examine the value of a commercial software application for registration correction. SUBJECTS AND METHODS: A total of 255 technetium-99m (99mTc)-tetrofosmin stress/rest MPI examinations in 150 patients were reviewed for SPET/CT misalignment. After registration correction by the software, images were reassessed for interpretation differences from the misregistered study. The diagnostic benefit of reregistration was determined by taking into account the non-attenuation compensated image pattern, combined stress-rest evaluation, gated-SPET data and patient's history. In a phantom experiment and in 3 representative clinical cases, SPET/CT misalignment was purposely created by the software by sequential slice shifts and its effect was evaluated quantitatively. RESULTS: Misregistration ≥1 pixel in at least one direction was observed in 24% of studies. Interpretation of MPI changed after registration correction in 11% of cases with misalignment <1 pixel, in 18% with 1-2 and in 73% with ≥2 pixels. The diagnostic information seemed to improve after registration correction in 58% of studies irrespective of the degree of misregistration. Software-simulated misregistration had dissimilar effects in the phantom and the 3 selected clinical cases. CONCLUSIONS: The impact of SPET/CT misregistration on MPI interpretation although influenced by the degree and direction of slice misplacement, it is also case-specific and hardly predictable. Registration restoration by the software seems worthwhile regardless of misregistration magnitude.
... Attenuation and respiratory motion are of main concern for the correct interpretation of MPI studies. [1][2][3][4] . First, attenuation due to the anatomy surrounding the heart causes artifacts. ...
... Various studies have shown that such misalignment may cause artifacts. 3,7 Artifacts were previously investigated using physical phantoms 5,6 that simulate the heart motion. Pitman et al 5 reported on the effect of diaphragmatic heart motion with and without AC. ...
Article
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Background: A phantom assembly that simulates the respiratory motion of the heart was used to investigate artifacts and their impact on defect detection. Methods: SPECT/CT images were acquired for phantoms with and without small and large cardiac defects during normal and deep breathing, and also at four static respiratory phases. Acquisitions were reconstructed with and without AC, and with misalignment of transmission and emission scans. A quantitative analysis was performed to assess artifacts. Two physicians reported on defect presence or absence and their results were evaluated. Results: All large defects were correctly reported. Attenuation reduced uptake in the basal LV walls, increasing FN physicians' reports for small defects. Respiratory motion reduced uptake mainly in the anterior and inferior walls increasing FP and FN reports on images without and with small defects, respectively. Artifacts due to misalignment between CT and SPECT scans in normal breathing phantoms did not influence the physicians' reports. Conclusions: Attenuation and respiratory motion correction should be applied to reduce artifacts before reporting on small defects in deep breathing conditions. Artifacts due to misalignment between CT and SPECT scans do not affect defect detection in normal breathing when the LV is co-registered in SPECT and CT images prior to AC.
... In clinical practice, attenuation maps ( -maps) derived from computed tomography (CT) are incorporated into iterative reconstruction to implement attenuation correction (AC) of SPECT (Tavakoli and Naij, 2019;Zaidi and Hasegawa, 2003;X. Chen et al. misregistration can produce errors in the activity distribution of the reconstructed AC SPECT images Fricke et al., 2004;Matsunari et al., 1998). For stand-alone SPECT scanners in which the -maps are imported from separate CT scanners, the registration of SPECT and the imported CT-derived -maps are even more challenging and essential for the accurate AC of SPECT. ...
Article
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Myocardial perfusion imaging (MPI) using single-photon emission computed tomography (SPECT) is widely applied for the diagnosis of cardiovascular diseases. Attenuation maps (μ-maps) derived from computed tomography (CT) are utilized for attenuation correction (AC) to improve the diagnostic accuracy of cardiac SPECT. However, in clinical practice, SPECT and CT scans are acquired sequentially, potentially inducing misregistration between the two images and further producing AC artifacts. Conventional intensity-based registration methods show poor performance in the cross-modality registration of SPECT and CT-derived μ-maps since the two imaging modalities might present totally different intensity patterns. Deep learning has shown great potential in medical imaging registration. However, existing deep learning strategies for medical image registration encoded the input images by simply concatenating the feature maps of different convolutional layers, which might not fully extract or fuse the input information. In addition, deep-learning-based cross-modality registration of cardiac SPECT and CT-derived μ-maps has not been investigated before. In this paper, we propose a novel Dual-Channel Squeeze-Fusion-Excitation (DuSFE) co-attention module for the cross-modality rigid registration of cardiac SPECT and CT-derived μ-maps. DuSFE is designed based on the co-attention mechanism of two cross-connected input data streams. The channel-wise or spatial features of SPECT and μ-maps are jointly encoded, fused, and recalibrated in the DuSFE module. DuSFE can be flexibly embedded at multiple convolutional layers to enable gradual feature fusion in different spatial dimensions. Our studies using clinical patient MPI studies demonstrated that the DuSFE-embedded neural network generated significantly lower registration errors and more accurate AC SPECT images than existing methods. We also showed that the DuSFE-embedded network did not over-correct or degrade the registration performance of motion-free cases. The source code of this work is available at https://github.com/XiongchaoChen/DuSFE_CrossRegistrationhttps://github.com/XiongchaoChen/DuSFE_CrossRegistration.
... In or- der to perform attenuation correction, a map of regional attenuation coefficients has to be generated. These are determined either based on a user defined contour, by transmission scanning using point or line- sources integrated into the gamma camera or by a computed tomographic (CT) system attached to the gamma camera (7,16).The latter also allows for exact anatom- ic localisation of SPECT lesions. Currently, only one commercial in-line SPECT/CT device is available, which uses a continu- ously rotating x-ray CT tube and detector attached to the same rotating gantry to which the gamma camera heads are mount- ed (11). ...
Article
Aim: A new software approach uses separately acquired CT images for attenuation correction after retrospective fusion with the SPECT data. This study evaluates the effect of this CT-based attenuation correction on indium- 111-pentetreotide-SPECT images. Methods: Indium- 111-pentetreotide-SPECT imaging using a dual-head gamma camera e.cam (Siemens Medical Solutions, Erlangen, Germany) as well as separate spiral computed tomography (CT) was performed in 13 patients. After fusion of SPECT and CT data, the bilinear attenuation coefficients were calculated for each pixel in the CT image volume using their Hounsfield unit values and attenuation- corrected images were reconstructed iteratively (OSEM 2D). Regions of interest (ROIs) were drawn on 24 suspicious foci and background, and target to background ratios were calculated for corrected (TBAC) and uncorrected (TBNAC) images. The shortest distance from the centre of the lesion to the surface of the body (DS) was measured on the corresponding CT slice. Furthermore, ROIs were drawn over the rim and the centre of the liver. Ratios of hepatic count rates for corrected (LRAC) and uncorrected (LRNAC) images were also compared. Results: In lesions located more centrally, TBAC was up to 52% higher, whereas in peripherally located lesions, TBAC was up to 63% lower than TBNAC. The TBAC/TBNAC quotient was linearly correlated with DS. In the liver, attenuation correction resulted in a 35% increase of LRAC compared with LRNAC. Conclusions: Attenuation correction of SPECT images performed by separately acquired CT data is quick and simple. It improves the contrast between target and background for lesions located more centrally in the body and improves homogeneity of the visualisation of tracer uptake in the liver.
Article
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Purpose: Computed tomography (CT) attenuation correction of myocardial perfusion in single-photon emission computed tomography (SPECT) /CT systems is possibility of misregistration between emission and transmission scans. This study aimed to evaluate the influence of misregistration using a polar map of 17 segments model. Methods: Using the fusion software, we assessed the magnitude and direction of misregistration in 200 consecutive myocardial perfusion SPECT images with 99mTechnetium (99mTc) tetrofosmin. After registration, CT data was shifted by ±1, ±2, and ±3 pixels along the cephalad/caudal, dorsal/ventral, and left/right axes, respectively. The registered image was compared with the shifted image. Results: Misregistration between the SPECT and CT images occurred by 1-2 pixels in 127 cases (63.5%) and by 2 or more pixels in four cases (2%); the maximum misregistration was 1.2±0.4 pixels on average. The polar map scoring was most significantly affected by 3 pixel ventral shift. A ventral shift of 1 pixel affected the scores for the anterolateral and inferolateral segments, whereas a caudal shift of 1 pixel affected the scores for the anterior segment. Conclusion: Since the 17 segments model can evaluate the position more precisely than the five segments model, it is possible to evaluate up to 1 pixel misregistration.
Chapter
For the past several years, computer speeds have tended to double every year. This is an exponential growth curve, and the cumulative gain is impressive: programs running for a day 10 years ago now require a minute. This allows algorithm designers to follow new strategies. Ingenious mathematics and clever numerical analysis now must face competition from inefficient and ugly brute-force computations, and soon will no longer be necessary. An important advantage is that problems which cannot be solved analytically can now be tackled with computation-intensive numerical procedures.
Chapter
Single Photon Emission Tomographic (SPET) imaging overcomes the loss of contrast suffered by planar images, which impairs the detectability of small lesions, particularly those which are deep lying and which exhibit reduced radionuclide accumulation. The reconstructed data can also be reoriented into, for example, coronal or sagittal sections, for better visualisation of the relative positions of activity distributions, which may help to localise the position of abnormalities more accurately. The technique also has the potential to quantify the regional distribution of activity, which allows representation of the activity distribution in units of MBq ml-1 rather than just counts per pixel, and thus better indicates organ function and radiation dosimetry (Rosenthal et al. 1995; Fleming and Alaamer 1996). A number of acquisition and processing factors are peculiar to SPET and, although software for single photon tomographic imaging was introduced in the mid 1980s, a range of imaging protocols are in use and are sometimes inappropriate, which demonstrates the on-going need to encourage the correct use of the instrumentation (Heikkinen et al. 1999). The image data is heavily and sophisticatedly processed. This includes attenuation correction and scatter compensation which can improve image resolution and contrast, significantly. It is possible to reconstruct images that are far from optimum. Artefacts, which would have been easily recognised in the raw images, can become camouflaged.
Chapter
Planar images suffer a reduction in image contrast because of contributing information from activity in over- and underlying parts of the body. Tomographic images, produced by Single Photon Emission Tomography (SPET), overcome this by spatially separating the object activity distributions (Tsui 1996), see Fig. II.4.1. This spatial separation also facilitates improved spatial localisation of activity distributions. The technique also has the potential to quantify the regional distribution of activity and thus better indicate organ function.
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Health Technology Assessment (HTA) has been defined as a ‘multidisciplinary approach studying the clinical, economic, social and ethical implications of development, diffusion and use of health technology’. While the general definition of HTA is widely accepted and its role in policy making is increasingly established in EU countries, the currently adopted methodological framework for HTA does not fully encounter the challenges rising from different types of health technologies, such as medical devices. This paper provides i) an introduction to the HTA methodology, highlight on ii) specific challenges medical devices pose in addition to other health technologies (i.e. short lifecycle and rapid changes, clinical outcomes often depend on training and experience of operator, dynamic pricing), iii) current HTA practices for medical devices and iv) the results of a FP7 funded project, “Methods for Health Technology Assessment of Medical Devices: a European Perspective” (MedTecHTA n. 305694) completed in December 2015. The general objective of MedtecHTA was to enhance HTA methods for medical devices that would acknowledge complexities rising from their integration into clinical practice and to develop recommendations for a wide range of stakeholders in the field. Overall, this paper provides a summary of the current and expected future trends in the assessment of medical devices technology to inform coverage and reimbursement decisions in healthcare within Europe and beyond.
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The diagnosis of coronary-artery disease has become increasingly complex. Many different results, obtained from tests with substantial imperfections, must be integrated into a diagnostic conclusion about the probability of disease in a given patient. To approach this problem in a practical manner, we reviewed the literature to estimate the pretest likelihood of disease (defined by age, sex and symptoms) and the sensitivity and specificity of four diagnostic tests: stress electrocardiography, cardiokymography, thallium scintigraphy and cardiac fluoroscopy. With this information, test results can be analyzed by use of Bayes' theorem of conditional probability. This approach has several advantages. It pools the diagnostic experience of many physicians ans integrates fundamental pretest clinical descriptors with many varying test results to summarize reproducibly and meaningfully the probability of angiographic coronary-artery disease. This approach also aids, but does not replace, the physician's judgment and may assit in decisions on cost effectiveness of tests.
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Patient movement between PET scanning sequences can produce misalignment between attenuation and emission scans. Such misalignment introduces errors in the emission image. This study evaluates the severity of these errors and their effect upon quantitation of regional myocardial activity. Myocardial FDG scans from 14 patients were reconstructed with simulated translational, rotational and out-of-plane patient movement. Eight myocardial regions from each patient were examined to determine the effect such misalignment might have on regional myocardial activity. A 2-cm shift between attenuation and emission scans produced up to a 30% change in regional activity. Some regions of the myocardium increased while others decreased for a given magnitude and direction of shift, producing anomalous regional myocardial inhomogeneities in the image. Such changes could easily cause qualitative and quantitative misinterpretations. We present data permitting the reader to assess the magnitude of this effect in his/her own clinical setting.
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This study evaluates the effect of attenuation correction on regional myocardial tracer distributions defined by 201TI cardiac perfusion SPECT images obtained from healthy volunteers and patients with coronary heart disease. A three-detector SPECT system equipped with an 241Am line source and a fanbeam collimator was used for simultaneous transmission/emission (201TI) tomography on 40 patients and 10 normal volunteers. Uncorrected emission images were reconstructed using filtered backprojection (FBP), whereas the attenuation corrected images were iteratively reconstructed with a regularized, least-squares algorithm utilizing the attenuation map computed from the transmission data. Both sets of images were reoriented into short-axis and vertical long-axis slices. Circumferential profile analysis was applied to both datasets of short-axis slices. The normal volunteers demonstrated improved homogeneity in tracer distribution. For a basal short-axis slice, the lateral-to-posterior activity ratio improved from 1.17 +/- 0.12 for FBP to 1.01 +/- 0.07. Basal attenuation appeared properly compensated as the peak basal-to-apical slice activity gradient along the posterior-inferior wall changed from 1.15 +/- 0.12 for FBP to 1.01 +/- 0.09. The apex of the attenuation corrected images showed a significant decrease in activity relative to the base which appeared consistent with anatomic wall thinning. For the inferior and basal septal regions, the defect severity was slightly less in the attenuation corrected images, but the defects were more sharply defined compared to the FBP image defects. These results indicate that attenuation correction is clinically feasible and accurately corrects for photon attenuation. Clinical validation, however, is necessary to define the diagnostic benefits.
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Positron emission tomography (PET), in combination with myocardial blood flow tracers, allows highly accurate diagnosis of coronary artery disease using visual data interpretation. To increase the objectivity of data analysis and to reduce interobserver variability, we developed an automated analysis method for the three-dimensional definition of myocardial activity, which includes true volumetric data extraction and mathematical constraints of activity sampling to the expected shape of the left ventricle. Data are displayed in a standardized polar map or three-dimensional format for comparison with a normal database. The first clinical evaluation of this method in 52 patients using receiver operating characteristics (ROC) curve analysis demonstrated high diagnostic accuracy for detection as well as localization of coronary artery stenosis in predefined vascular territories. The interobserver and intraobserver agreement for localization of disease was excellent, with correlation coefficients varying from 0.85 to 0.99 for individual vascular territories. Thus, this automated quantitative analysis program provides highly accurate and reproducible evaluation of cardiac PET flow studies. Definite determination of its diagnostic accuracy requires a prospective multicenter trial in a larger patient population employing the criteria for abnormality established in this initial clinical evaluation.
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The purpose of the present study was to assess the diagnostic performance of attenuation-corrected (AC) stress 99mTc-sestamibi cardiac single-photon emission computed tomography (SPECT) for the identification of coronary heart disease (CHD). With a triple-detector SPECT system with a 241Am transmission line source, simultaneous transmission/emission tomography (TCT/ECT) was performed on 60 patients with angiographic coronary disease and 59 patients with < or = 5% likelihood of CHD. Iteratively reconstructed AC stress 99mTc-sestamibi perfusion images were compared with uncorrected (NC) filtered-backprojection images. Normal database polar maps were constructed from AC and NC images for quantitative analyses. From the low-likelihood patients, the visual and quantitative normalcy rates increased from 0.88 and 0.76 for NC to 0.98 and 0.95 for AC (P < .05). For the detection of CHD, the receiver operating characteristic curves for the AC images demonstrated improved discrimination capacity (P < .05), and sensitivity/specificity values increased from 0.78/0.46 (NC) to 0.84/0.82 (AC) with visual analysis and from 0.84/0.46 (NC) to 0.88/0.82 (AC) with quantitative analysis. For localization of stenosed vessels, visual and quantitative sensitivity values were 0.51 and 0.63 for NC and 0.64 and 0.78 for AC images (P < .05), respectively. TCT/ECT myocardial perfusion imaging significantly improves the diagnostic accuracy of cardiac SPECT for the detection and localization of CHD. Clinical use of TCT/ECT imaging deserves serious consideration.
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Regional variation of tracer distribution is seen in uncorrected thallium-201 images of normal hearts. This study evaluates the effect of attenuation correction on myocardial 201Tl distribution in patients with low risk of coronary artery disease. An L-shaped dual-detector single-photon emission tomographic system equipped with a pair gadolinium-153 scanning line sources was used for sequential emission/transmission imaging in 36 patients (14 men and 22 women) with less than 5% risk for coronary artery disease. Uncorrected emission images were reconstructed using filtered backprojection (FBP) whereas the attenuation corrected (AC) images were iteratively reconstructed using the attenuation map computed from the transmission data. Both sets of images were reorientated into short axis, vertical long axis and horizontal long axis images. For quantification data were reconstructed into polar plots and count density estimated in 17 myocardial segments. The population % standard deviation for each segment of AC data was significantly smaller than that for FBP data, indicating improved homogeneity of tracer distribution. In men the anterior-basal inferior activity ratio improved from 1.20 for FBP to 0.96 for AC (stress) and from 1.23 for FBP to 0.98 for AC (delay) (P<0.0001). In women the anterior-basal inferior activity ratio changed from 1.08 for FBP to 0.94 for AC (stress) and from 1.08 for FBP to 0.93 for AC (delay) (P<0.001). These ratios reflect appropriate compensation for basal attenuation but a lack of scatter correction. The lateral-septal activity ratio in men changed from 1.05 for FBP to 0.99 for AC (stress) and from 1.02 for FBP to 0.96 for AC (delay), while in women it changed from 1.05 for FBP to 0.98 for AC (stress) and from 1.04 for FBP to 0.98 for AC (delay) (P<0.005 in all cases). The apex of AC images showed a decrease in activity consistent with wall thining at this site. It is concluded that the use of attenuation correction yields improved homogeneity of myocardial tracer distribution in patients with low risk of coronary artery disease. The diagnostic benefits of attenuation correction are yet to be fully assessed.
Article
We investigated aligning a transmission (T) scan with a subsequent emission contaminated transmission (T+E) scan. This would permit correction for patient motion and thereby use of a single T scan to correct E scans taken hours or days apart. Scans from 15 patients were used to produce 200 T scans contaminated with two levels of either [18F]fluorodeoxyglucose or [13N]ammonia E data. Known misalignments were introduced between each T+E scan and the corresponding T scan, and each pair was subsequently realigned. Realignment errors were compared with those obtained for uncontaminated T scans. The realignment errors increase with the contamination level and depend slightly on the contaminant. However, even at the highest level of contamination studied, the mean absolute translation errors remained less than the voxel size and the mean absolute rotation errors were < 2.5 degrees. AT+E scan can be accurately realigned with a T scan. This suggests that attenuation correction could be performed by using a high quality T scan taken days or hours earlier and aligning this T scan with a short T scan taken immediately after E imaging.
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Attenuation is believed to be one of the major causes of false-positive cardiac single-photon emission computed tomographic perfusion images. This article provides an introduction to the approaches used to correct for nonuniform attenuation once a patient-specific attenuation map is available. Comparison is made of specific attenuation-correction algorithms from each of three major categories of compensation methods that are or will be available commercially. Examples of the use of the algorithms on simulated projections of a mathematic phantom modeling the anatomy of the upper torso are used to illustrate the ability of the methods to compensate for attenuation. The advantages and disadvantages of each approach are summarized, as well as areas that need further investigation.