Kei Kuramoto's research while affiliated with University of Hyogo and other places
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Publications (74)
In this paper, a two-staged method of determining the order of medical examinations is presented to reduce sojourn times for patients visiting a department of cardiology. The first stage works as the batch process in the nighttime, and determines the order of medical examinations for patients with appointments. The second stage is designed for pati...
To develop a computer-aided diagnosis system for neonatal cerebral disorders, some literatures have shown atlas-based methods for segmenting parenchymal region in MR images. Because neonatal cerebrum deforms quickly by natural growth, we desire an atlas growth model to improve the accuracy of segmenting parenchymal region. This paper proposes a met...
This paper describes a foot-age estimation system based on fuzzy logic. The foot-age is one of age related indexes, and it shows the degree of aging by the gait condition. The system estimates the foot-age from sole pressure distribution change during walking. The sole pressure distribution is acquired by a mat-type load distribution sensor. Our es...
Brain region segmentation in neonatal magnetic resonance (MR) images is an essential task for computer-aided diagnosis of neonatal brain disorders using MR images. We have proposed a neonatal brain segmentation method using a fuzzy object model (FOM), which represents a prior knowledge of brain shape and location. The FOM is constructed from multip...
MR image registration (IR) has been used in brain function analysis, voxel-based-morphometry, etc. The conventional IR methods mainly use MR signal based likelihood. However, they cannot prevent miss registration of different gyri because they do not evaluate correspondence of sulci. Also, we cannot directly apply methods for adult brain to neonata...
The number of asthmatic attacks was predicted by a time series data analysis in the areas divided into the coastal place and the inland place in Himeji city. As a result, SARIMA model obtained the highest total of CC=0.733, MAPE = 13.4 in inland place, and AR model obtained the highest total of CC=0.549, MAPE = 13.9 in coastal place. The prediction...
This paper proposes a muscular thickness measurement method using acoustic velocity dependency according to temperature. It is known that the acoustic velocity for temperature change depends on the materials is slower than warm ones. From this principal, we measured the muscular thickness. We employ a 1.0 MHz ultrasonic probe, and acquire two kind...
This paper describes an object classification method using infrared TOF camera. The method detects moving objects from a distance distribution data. The objects are extracted by k-means clustering method based on fuzzy inference. To classify them, fuzzy if-then rules and fuzzy membership functions are derived from the knowledge of human characteris...
Hypoxic-ischemic encephalopathy is a typical cerebral disorder of newborn babies. For diagnosis of the neonatal cerebral disorders, the measurement of cerebral volume and surface area is effective for quantitatively evaluating the morphological change. The measurement needs brain segmentation process in magnetic resonance (MR) images. However, ther...
Total knee arthroplasty (TKA) is an orthopedic surgery which replaces the damaged knee joint with the artificial one. To diagnose the function of the implanted knee joint, it is effective to estimate 3-D knee kinematics in vivo. There are some conventional methods for estimating kinematics of the implanted knee using 2-D/3-D image registration for...
Bone tissue engineering techniques have become new approaches in bone regeneration. Before clinical implantation, the preconditioning is needed. Therefore, we implement the ultrasonic evaluation system without cellular destruction. This study focuses the cellular proliferation into the composites of bone marrow stromal cells (BMSCs) / β-tricalcium...
Image segmentation plays a fundamental work to analyze medical images. Although many literatures studied automated image segmentation, it is still difficult to segment region-of-interest in any kind of images. Thus, manual delineation is important yet. In order to shorten the processing time and to decrease the effort of users, this paper introduce...
This paper describes noninvasive diagnosis of blood flow for Transcranial Doppler (TCD) ultrasonography. This trans-skull ultrasonic system measures the blood flow velocity in the human brain using an ultrasonic array probe with the center frequency of 1.0 MHz. The system determines the blood flow and locates the blood vessel using Doppler effects,...
This paper describes noninvasive cellular quantity measurement in Bone Marrow Stromal Cells/ β-tricalcium phosphate. We attempt to identify cellular quantity with an ultrasonic system. The ultrasonic waves are reflected at boundaries where there is a difference in acoustic impedances of the materials on each side of the boundary. Therefore, we focu...
This paper describes fuzzy damage extraction method for ultrasonic nondestructive testing images. In our experiment, we employ a piece of wind turbine blade as a specimen has artificial damages. We acquire ultrasonic waveforms from scanning lines on surface of the pecimen using an ultrasonic single probe. To extract the damages, we calculate fuzzy...
This paper describes an object classification method using infrared laser camera. The method detects moving objects from a distance distribution data. We classify the object to adults, children and other objects. The objects are extracted and clustered by fuzzy c-means clustering method. To classify the object, we calculate the height, thickness, a...
This paper proposes multi human location estimation system using four thermopile array sensors. These sensors are attached to the ceiling and acquire 8 × 8 place-dependent thermal distributions. Firstly, human area is detected by background removal with fuzzy inference based on human characteristics. Secondly, human areas are identified by Connecte...
This paper proposes a human activity estimation system using a wearable multi-sensor with a built-in electrocardiograph and triaxial accelerometers. The multi-sensor unconstraintly measures biological information, and provides these data to personal computer by wireless communication. We estimate human activity in a series of activities by the biol...
Understanding a space where autonomous robots work is an open problem. In case of maritime space, it is also very important. For this purpose, marine radar has been used to acquire images around the maritime vehicles. However, radar images are easily distorted by signal attenuation with distance, blurring due to antenna directivity, reflection by o...
Newborn brain MR image segmentation is a crucial procedure for computer-aided diagnosis of brain disorders using MR images. We have previously proposed an automated method for segmenting parenchymal region. The method is based on a fuzzy rule based deformable surface model. In order to improve the segmentation accuracy, this paper introduces a prio...
This paper describes optimal operator for combining left and right sole pressure data in a personal authentication method by dynamic change of sole pressure distribution while walking. The method employs a pair of right and left sole pressure distribution change data. These data are acquired by a mat-type load distribution sensor. The system extrac...
This article describes a personal identification method using dynamic foot pressure change while walking. This system acquires foot pressure change by wearable pressure sensor. The sensor has four sensing tips for the each foot, and these tips are fixed on shoes. In the experiment, we acquire eight steps pressure change data. The system extracts ga...
In magnetic resonance (MR) images, finding a small change of parenchyma in newborn babies' brain significantly helps physicians to diagnose suspicious hypoxic-ischemic encephalopathy patients. However, there are no computer-aided methods because an automated segmentation algorithm has not been established yet. This paper proposes a new image segmen...
Asthma causes the bronchus inflammation, and makes breathing impossible. In worst case, asthma causes death by dyspnea. If we can predict cause asthmatic attacks, they can prevent from asthmatic attacks. Therefore, asthmatic attacks prediction system is desired. As a prediction system using time series data, there is Fuzzy-AR model that can conside...
This paper proposes a body weight prediction method using Fuzzy prediction model. Fuzzy prediction model is constructed by an autoregressive (AR) model based on body weight data and linear prediction models based on biological data. The biological data are obtained by pedometers such as number of steps, calorie consumption and so on. The Fuzzy pred...
This paper describes a seminiferous tubules evaluation system using an ultrasonic probe. This system evaluates diameters of seminiferous tubules for azoospermia patients. We employ a 5.0MHz ultrasonic single probe. In the experiment, we employ large and small nylon lines as the healthy and unhealthy seminiferous tubules. We acquired the waveforms b...
This paper proposes a body weight prediction method using Fuzzy-autoregressive (AR) model. New Fuzzy-AR model is formed by including fuzzy membership function which changes AR parameter in autoregressive (AR) model. We employed 452 volunteers, and collected their body weight time-series data during 730 days. We use body weight data from 1st to 365t...
Asthma causes the bronchus inflammation, and makes breathing impossible. In worst case, asthma leads to death due to dyspnea. If we can predict that children cause asthmatic attacks, they can prevent from asthmatic attacks with minimum attention. Therefore, asthmatic attacks prediction system is desired. As a prediction system using time series dat...
This paper describes a seminiferous tubules evaluation using an ultrasonic probe. In this system, we evaluate a diameter of seminiferous tubules for azoospermia patients. We employ a 5.0MHz ultrasonic single probe. In the experiment, we employ large and small nylon lines as the healthy and unhealthy seminiferous tubules. We made ball shape phantom...
About 80% of paediatric intractable epilepsy patients have accompanying cortical dysplasia. However, there are no established methods for noninvasive detection of cortical dysplasia. This paper proposes a novel method for automatically detecting cortical dysplasia using paediatric MR images. In order to evaluate cortical dysplasia in MR images, tex...
This paper describes current state of the art of medical image processing and surgery support system. In it, typical medical image processing processes such as segmentation, registration and enhancement are described as an application of fuzzy logic. Second, orthopedic surgery and surgery support systems are introduced. In it, we meet the fuzzy log...
The neonatal cerebral disorders might deform the brain shape, and reduce the cerebral function. For the diagnosis of cerebral disorders, it is effective to measure cerebral volume and surface area using head magnetic resonance (MR) image. The measurement should require a brain segmentation process. However, there are few studies for neonatal brain....
Marine radar systems have been equipped by almost sea vehicles. However, radar image quality can be easily deteriorated by signal strength decay with increasing distance, blurring due to side lobes, signals of behind objects and of shaded area. And it is difficult to recover the artifacts. This paper proposes a new approach to improve radar image q...
This paper describes a foot age estimation system using fuzzy logic. The method employs sole pressure distribution change data. The sole pressure data is acquired by a mat type load distribution sensor. The proposed method extracts step length, step center of sole pressure width, distance of single support period and time of double support period a...
This paper describes a trans-skull ultrasonic system that measures the blood flow velocity in brain under skull. In this system, we use an ultrasonic array probe with the center frequency of 1.0 MHz. The system determines the blood flow and locate blood vessel by Doppler effect. This Doppler effect is examined by the center of gravity shift in the...
Implanted knee kinematic analysis plays one of important role in clinical and research fields of total knee arthroplasty. Although there are some studies to analyze X-ray images for estimating 3-D knee kinematics, most of them cannot analyze dynamic video because they strongly depend on manual interaction of giving initial pose/position. This paper...
This paper describes a testicular tubules evaluation using 1.0MHz ultrasonic array probe. In this system, we evaluate a diameter of testicular tubules. We employ an ultrasonic array probe with the center frequency of 1.0MHz. We employ evaluation index that cumulative relative frequency of amplitude values. In the experiment, we employ 24 nylon line...
Measurement of cerebral volume and surface area using magnetic resonance (MR) image is effective for quantitative diagnosis of cerebral diseases. The measurement should require a brain segmentation process. Although many approaches for adult brain have been studied, there are few studies for neonatal brain. This study proposes a brain segmentation...
Magnetic resonance imaging (MRI) is often used to detect and treat neonatal cerebral disorders. However, neonatal MR image interpretation is limited by intra- and inter-observer variability. To reduce such variability, a template-based computer-aided diagnosis system is being developed, and several methods for creating templates were evaluated.
Spa...
It is important to improve the quality of marine radar images because marine radar systems play a principle role of sea surveillance. However, it is difficult to recover signal strength decay with increasing distance, signals of behind objects and of shaded area. This paper proposes a new approach to improve radar image quality with system of syste...
In this paper, we describe a biometric personal verification method. We acquire walking data as dynamics of sole pressure. We have proposed a biometric personal authentication method using sole pressure while walking [13]. In this method, we employ a pair of right and left sole pressure distribution while walking. In past work, we have authenticate...
This paper describes a biometric personal authentication method, using a pair of right and left sole pressure distribution changes, while walking. This system acquires sole pressure distribution changes via a mat type load distribution sensor, and does personal authentication. We employ twelve features based on the shape of a footprint, and twenty...
This paper proposes a body weight prediction method using auto regressive (AR) model and Fuzzy-AR model. First, we employ 6 persons body weight change data of 365 days. AR model predicts body weight of a day from these time-series data. We calculate an order of AR model for each person by Akaike's Information Criterion. In the experiment, we predic...
Cerebral surface extraction from neonatal MR images is the basic work of quantifying the deformation of the cerebrum. Although there are many conventional methods of segmenting the cerebral region, only the rough area is given by counting the number of surface voxels in the segmented region. This article proposes a new method of extraction that is...
This paper describes a biometric personal authentication method based on fuzzy logic using dynamics of sole pressure distribution while walking. The method employs a pair of right and left sole pressure data. These data are acquired by a mat type load distribution sensor. The proposed method has two processes. First, we calculate a fuzzy degree of...
Home security in night is very important, and the system that watches a person's movements is useful in the security. This paper describes a classification system of adult, child and the other object from distance distribution measured by an infrared laser camera. This camera radiates near infrared waves and receives reflected ones. Then, it conver...
This paper discusses a data analysis by YURAGI for a heart rate non-constraining monitoring system Three signals are employed: primary signal is obtained by a mat-type sensor, which is placed between a bed and subject, the second one is obtained by an ultrasonic vibration senor attached to bed frame, and third one is Gaussian noise. We compare the...
This paper describes a home care system for elderly by four detached multi-sensor network. The sensor network detects several bio-signals in bed. It consists of the following four sensors. An ultrasonic sensor detects human motion. An optical fiber sensor detects respiration. A mat-type sensor detects heart rate and respiration, and heart rate acce...
This paper proposes a biosignal detection algorithm aided by fuzzy logic for heart rate and respiration. We employ two kinds of sensors to evaluate the algorithm. One is a air mat sensor consisting of an air tube and a pressure detection device, and the other is an ultrasonic sensor consisting of an ultrasonic probe with 2MHz and water in a small t...
Anterior cruciate ligament (ACL) injury and knee osteoarthritis are well-known injuries of the knee joint, and pivot shift is a symptom of the ACL injury. Today, to diagnose the pivot shift phenomenon, the manual testing is examined for the early diagnosis, however, it should be affected by inter- and intra observer variability. This article propos...
Quantitative diagnosis of the knee joint dynamics is required to decrease the inner- and intra-observer variability. This paper proposes a noninvasive, unconstrained and free field of measurement system of 3 degree-of-freedom knee joint angles. The proposed system employs a compound sensor of inertial and magnetic sensors. Based on a rigid-body lin...
The estimation system of the knee joint angle that decreases the variability caused by the subjective diagnosis of the knee joint disorders has been attracting a considerable attention. This paper proposes an unconstraint knee joint angle measurement system using inertial and magnetic composite MEMS sensor. The proposed system estimated the posture...
Personal classification using sole pressure change is essential for intelligent control, security on home because the users do not need to have anything, such as ID-Card, PIN code and so on. In our study, we propose a personal classification system by sole pressure change obtained by mat type pressure sensor. Mat type pressure sensor is placed on t...
Cortical dysplasia is a congenital anomaly of cerebral cortex. It accompanies considerable number of pediatric intractable epilepsy patients. Therefore, it is very effective to detect cortical dysplasia lesions and to estimate dysplasia degree quantitatively in pediatric brain MR images for planning treatment. However, image features on the pediatr...
Analyzing knee kinematics of implanted knee after Total Knee Arthroplasty (TKA) is affective approach in the research area of orthopaedics. There are some studies based on 2-D/3-D image registration of 2-D fluoroscopy images and 3-D geometric model. However, these conventional studies are designed for still statics image analysis, and there are a f...
This paper propose a biometric personal identification method based on a pair of right and left sole pressure distribution change. We acquire the sole pressure distribution change by load distribution sensor and use it for a personal identification. We employ twelve features based on shape of footprint, and twenty seven features based on movement o...
It is effective to evaluate magnetic resonance (MR) images for diagnosing neonatal cerebral disorders because they often accompany the deformation of the brain shape. However, there are many difficulties when radiologists manually extract cerebral surface from the MR images. Therefore, it requires to extract the cerebral surface from neonatal MR im...
In this paper, we analyze human gait pattern and estimate her/his foot age. We acquire foot pressure distribution change as gait pattern by a mat type load distribution sensor. From the foot pressure distribution data, duration of gait cycle and center of foot pressure (CFP) changes are determined for each stride. We employ four estimation indexes...
This paper describes a trans-skull ultrasonic system that measures the blood flow velocity through the brain's blood vessel under skull. In this system, we use an ultrasonic array probe with the center frequency of 1.0MHz. The system determines the blood flow by Doppler effect. This Doppler effect is examined by the center of gravity shift in the f...
This paper describes a method for a heartbeat and respiratory rate monitoring system using air pressure sensors and ultrasonic oscillosensor. By using these sensors, we propose a detection method of the state of human and an extraction method of heartbeat and respiratory rate in bed by fuzzy logic. Our method was examined on four healthy volunteers...
Automated morphometric analysis using human brain magnetic resonance (MR) images is an effective approach to investigate the morphological changes of the brain. However, even though many methods for adult brain have been studied, there are few studies for infantile brain. Same as the adult brain, it is effective to measure cerebral surface and for...
This paper proposes a biometric personal authentication method based on one step foot pressure distribution change. We acquire the foot pressure distribution change by mat type load distribution sensor and use it as a personal authentication. We employ twelve features based on shape of footprint, and twenty seven features based on movement of weigh...
For estimating 3-D pose position of artificial knee implants in vivo, there are some studies based on 2-D/3-D image registration of 2-D fluoroscopy images and 3-D geometrical model. Knee implant mainly consists of femoral component and tibial component. Most conventional studies estimate 3-D pose position of femoral component and tibial component i...
There are few studies on computer-aided diagnosis (CAD) system for neonatal magnetic resonance (MR) images. In addition, because it is difficult to apply multiple examinations for neonate, we should maximize data which are derived from a set of MR images. Under these requirements, this paper introduces system of systems (SoS) framework into analysi...
For developing navigation system of total hip arthroplasty (THA) and evaluating hip joint kinematics, 3-D pose position of the femur and acetabulum in the pelvic coordinate system has been quantified. The pelvic coordinate system is determined by manually indicating pelvic landmarks in multidetector-row computed tomography (MDCT) images. It include...
Precise measurement of cerebral surface area will explores a new method for evaluating cerebral disorders because the cerebrum will be deformed by the cerebral disorders. Conventional methods for segmenting the cerebral region from MR images give coarse area by counting the number of the surface voxels of the segmented region. In contrast, this pap...
This paper describes a method for distribution of people monitoring system using a 3D camera. This camera measures distance and intensity distribution based on time of flight (TOF). From the obtained distance data, we perform clustering processing to detect the distribution of people. In our method, fuzzy logic plays a primary role to decide the cl...
Brain shape is deformed regionally by kinds of cerebral diseases and the degree of progress. Therefore quantitative evaluation of the deformation using MR images is effective for diagnosis of cerebral diseases. We proposed a homologous brain shape modeling deformation for quantitative evaluation of the brain shape using sulcal-distribution index (S...
In functional test of hip joint, anatomical coordinate system is user. Anatomical coordinate systems are defined by inputting landmarks manually. Therefore decision of anatomical coordinate systems includes inter-and intra-operator variability. In addition, variability of anatomical coordinate systems will affect results of diagnosis and/or cause c...
This paper proposes a biometric personal authentication based on the pressure distribution while one step walking. We extract one step from a walk on a mat type load distribution sensor and use it to personal authentication. With this method, features which are based on weight movement and foot shape during walking are calculated, then a classifier...
This paper describes a method for a respiratory rate monitoring system by an air pressure sensor. By using this sensor, we propose a detection method of a respiratory rate for human in bed by fuzzy logic. Our method was examined on four healthy volunteers. We successfully detected the respiratory rate and the time of apnea state. In our method, fuz...
Cerebral contour extraction from magnetic resonance (MR) images is a fundamental work to analyze brain MR images. The methods can be roughly classified into three approaches, voxel-based, mesh-based and particle-based. Each method has advantages and disadvantages. Especially, particle based method can extract the complicated sulci with sub-voxel ac...
Citations
... A novel infrared laser device for measuring multilateral stepping-performance parameters was introduced by Nishiguchi et al. for identifying fall-risk in elderlies [20]. Takeda et al. predicted footprints from the sole pressure distribution during walking and developed a diagnostic system using features such as the mean absolute error [21]. Next, we mention some environment tracking type evaluation techniques. ...
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... Figure 6 illustrates the variability in left footsteps for the unshod and standard shoe trials. The distinctness of COP profiles between individuals has been well documented in the literature [11], [27]- [29], and the variability of foot COP has also been shown to be affected by footwear [30]. The COP EP and COP DTW techniques were able to accurately classify samples for some of the twenty individuals with a very high degree of accuracy (> 95%), yet they were entirely unsuccessful for some participants and shoe types, resulting in accuracies of around 50%, equivalent to random guessing. ...
... Few studies have investigated methods for determining the pelvic reference plane. Kobashi et al. [22] proposed a method to determine the APP based on anatomical points. With their method, an algorithm using ROIs specified by a quadrant in the CT volume calculates each anatomical point. ...
... – 1 – Special Issue on SCI'15—II neonates, we proposed a new feature called sulcaldistribution index (SDI)[12], which is calculated from MR signal on the cerebral surface. The results showed that SDI was available to characterize the spatial distribution of sulci on the cerebral surface of the neonatal brain. ...
... That is, it describes the objective function as. [2] = ∑ ∑ − ( )‖ (1) The objective function is then reformulated as, ...
Reference: Image Segmentation using KFCM
... In this system, knowledge from experts is compiled into fuzzy cognitive maps and logical structures to estimate a stage of disease using temporal information in symptom durations. An other example can be found in [6] where an automated brain segmentation method is proposed to build fuzzy models from magnetic resonance images and to express brain features by fuzzy membership functions for the diagnosis of Hypoxic-ischemic encephalopathy in newborns. Moreover many other studies can be found in the scientific literature that propose intelligent methodologies to help medical decision making. ...
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... In [9], Fuzzy-AR model applied on weather factors (e.g. temperature, atmospheric pressure, humidity) coming from physical sensors, is used to predict asthma attacks. ...
... These efforts have resulted in a great variety of time series modeling methods with significant achievements that are founded on the application of fuzzy theory (e.g. [8], [12], [10], [11], [13]). ...
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... These efforts could not address the limitations like object detection with background removal. To enhance the detection capability, a greater number of thermopile sensors are used [17] to identify and detect the object locations. To remove the image background fuzzy techniques are tried and results are suffered due to poor thermal image. ...
... In [185], the fuzzy damage extraction method for ultrasonic NDT images was proposed. In experiment, a piece of wind turbine blade was employed as a specimen with damages artificially from the back side of the specimen. ...
