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The schematic diagram of cerebral aneurysm 

The schematic diagram of cerebral aneurysm 

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It is the key step of the cerebral aneurysm recognition system to locate the cerebral aneurysm accurately and fast onto the image. A new detection method of cerebral aneurysm, which is based on the improved thinning algorithm, is proposed after analyzing the morphological characteristics of cerebral aneurysm fully in the paper. In this new detectio...

Contexts in source publication

Context 1
... cerebral aneurysm is the projecting part of the vessel edge caused by lesion. The schematic diagram of cerebral aneurysm is showed in Figure 1. ...
Context 2
... Figure 1, the position marked by pane is cerebral aneurysm. The projecting part has appeared in the normal vessel and the approximately parallel of two edge contours is broken. ...
Context 3
... the experiment, we do binarization segmentation on original images Figure 1(a) and Figure 1(b) firstly, then obtain its skeleton by using improved thinning algorithm, and detect the skeleton map using the cerebral aneurysm detection method based on the branches of skeleton map, lastly mark the suspected region of cerebral aneurysm with pane. The vascular structure of original cerebral vascular image in Figure 1(a) is relatively simple, and the image edge is smooth after binarization segmentation, which shown in Figure 7 After a large number of experiments, the reason is found that the emergence of burr is largely due to the inadequate binary effect of blood vessels, noise jamming and other reasons. ...
Context 4
... the experiment, we do binarization segmentation on original images Figure 1(a) and Figure 1(b) firstly, then obtain its skeleton by using improved thinning algorithm, and detect the skeleton map using the cerebral aneurysm detection method based on the branches of skeleton map, lastly mark the suspected region of cerebral aneurysm with pane. The vascular structure of original cerebral vascular image in Figure 1(a) is relatively simple, and the image edge is smooth after binarization segmentation, which shown in Figure 7 After a large number of experiments, the reason is found that the emergence of burr is largely due to the inadequate binary effect of blood vessels, noise jamming and other reasons. ...
Context 5
... the experiment, we do binarization segmentation on original images Figure 1(a) and Figure 1(b) firstly, then obtain its skeleton by using improved thinning algorithm, and detect the skeleton map using the cerebral aneurysm detection method based on the branches of skeleton map, lastly mark the suspected region of cerebral aneurysm with pane. The vascular structure of original cerebral vascular image in Figure 1(a) is relatively simple, and the image edge is smooth after binarization segmentation, which shown in Figure 7 After a large number of experiments, the reason is found that the emergence of burr is largely due to the inadequate binary effect of blood vessels, noise jamming and other reasons. Burr in the vascular skeleton structure also manifested as the same branch structure, so it affects on the precision of cerebral aneurysm detection greatly. ...

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... Normally, an upper-level jet is axisymmetric system which means we can use its major axis to represent the position of the upper-level jet [12]. To extract the major axis of an upper-level jet a morphological image processing method, One Pass Thinning Algorithm (OPTA) skeleton extraction [21] is used. Figure 3is shown as an example by using the OPTA skeleton extraction to get the major axes of upper-level jets. ...
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Dry intrusion is an important mid-latitude atmosphere phenomenon within the upper troposphere and lower stratosphere. It is often found to be related to the cyclogenesis, rainstorm, as well as convection generation and precipitation enhancement. Since the atmosphere environment for any of these above-mentioned weather is terribly complicated, those preexisting popular schemes which takes no account of water vapor may not suitable for detecting the dry intrusion related to such weather events. With regard to the merits and demerits of the current preexisting schemes, a new scheme based on Fengyun-2E geo-stationary satellite data is presented in this study to detect the tropopause dry intrusion. The scheme is set up based on the statistical relationship between water vapor at high level troposphere, the general moist potential vorticity, ozone concentration and upper-level jets. Validations are made by using Fengyun-3B observed ozone profiles and NCEP FNL analysis data. Two mid-latitude storm episodes occurred in China in 2012 and 2014 are selected as demonstration to show the applicability of the method we developed in this study. Good application effects in both cases suggest that the new method for detecting dry intrusion is applicable and can be helpful in middle-latitude disastrous weather monitoring and forecasting.
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Conference Paper
Dry intrusion is an important mid-latitude atmosphere phenomenon within the upper troposphere and lower stratosphere. It is always found to be related to the cyclogenesis, rainstorm, as well as convection generation and precipitation enhancement. Since the atmosphere environment for any of these above-mentioned weather is terribly complicated, those preexisting popular schemes which takes no account of water vapor may not suitable for detecting the dry intrusion related to these weathers. With regard to the merits and demerits of the current preexisting schemes, a new scheme based on Fengyun-2E geo-stationary satellite data is presented in this study to detect the atmospheric dry intrusion. The scheme is set up based on the statistical relationship between water vapor at high level troposphere, the general moist potential vorticity, ozone concentration and upper-level jet. After using the total amount of ozone and ozone profile operational products retrieved by Fengyun-3 Polar Orbiting Meteorological Satellites and the potential vorticity calculated by ECMWF Interim data for validation, this scheme is applied to analyze two typical middle-latitude weather processes. One is the famous Beijing extreme rainfall of 21 July 2012 and the other is a hailstorm occurred on the eastern China during March 19, 2014. A good application effect in both cases suggests that our new method of detecting dry intrusion is feasible and can be helpful in middle-latitude disastrous weather monitoring and forecasting.