Curriculum Vitaes
Profile Information
- Affiliation
- Associate Professor, Department of Intelligent Information Engineering, Research Promotion Unit, School of Medical Sciences,, Fujita Health University
- Degree
- 博士（工学）(琉球大学)
- Researcher number
- 90550153
- J-GLOBAL ID
- 201501004267795217
- researchmap Member ID
- 7000013361
- External link
Research Interests
7Research Areas
1Research History
13-
Sep, 2020 - Mar, 2022
-
Apr, 2020 - Mar, 2022
-
Apr, 2016 - Mar, 2020
-
Apr, 2016 - Mar, 2020
Education
3Committee Memberships
3-
May, 2015 - Nov, 2015
-
Nov, 2014
Awards
9-
Jul, 2014
-
Aug, 2013
Papers
91-
Radiological physics and technology, 17(2) 536-552, Jun, 2024 Peer-reviewedThis study elucidated the effects of a three-dimensional k-space trajectory incorporating the partial Fourier (PF) technique on a time-intensity curve (TIC) in a dynamic contrast-enhanced magnetic resonance imaging of a typical malignant breast tumor using a digital phantom. Images were obtained from the Cancer Imaging Archive Open Data for Breast Cancer, and 1-min scans with high temporal resolution were analyzed. The order of the k-space trajectory was set as Linear (sequential), Low-High (centric), PF (62.5%; Z-, Y-, and both directions), and Low-High Radial. k0 (center of the k-space) timing and TIC shape were affected by the chosen k-space trajectory and implementation of the PF technique. A small TIC gradient was obtained using a Low-High Radial order. If the k-space filling method (particularly the radial method) produces a gentle TIC gradient, misinterpretation could arise during the assessment of tumor malignancy status.
-
Neurocomputing, 580 127482-127482, May, 2024 Peer-reviewed
-
Physical and engineering sciences in medicine, 47(1) 339-350, Mar, 2024 Peer-reviewedThis initial study aimed at testing whether fat-containing agents can be used for the fat mass estimation methods using magnetic resonance imaging (MRI). As an example for clinical application, fat-containing agents (based on soybean oil, 10% and 20%), 100% soybean oil, and saline as reference substances were placed outside the proximal femurs obtained from 14 participants and analyzed by 0.3 T MRI. Fat content was the estimated fat fraction (FF) based on signal intensity (SIeFF, %). The SIeFF values of the femoral bone marrow, including the femoral head, neck, shaft, and trochanter area, were measured. MRI data were compared in terms of bone mineral content (BMC) and bone mineral density (BMD) by dual-energy X-ray absorptiometry (DXA) in the proximal femur. Twelve pig femurs were also used to confirm the correlation between FF by the DIXON method and SIeFF. According to Pearson's correlation coefficient, the SIeFF and total BMC and BMD data revealed strong and moderate negative correlations in the femoral head (r < - 0.74) and other sites (r = - 0.66 to - 0.45). FF and SIeFF showed a strong correlation (r = 0.96). This study was an initial investigation of a method for estimating fat mass with fat-containing agents and showed the potential for use in MRI. SIeFF and FF showed a strong correlation, and SIeFF and BMD and BMC showed correlation; however, further studies are needed to use SIeFF as a substitute for DXA.
-
IEICE Transactions on Information and Systems, E107.D(3) 342-353, Mar 1, 2024 Peer-reviewed
-
ICCE, 1-5, 2024 Peer-reviewed
Misc.
106-
Proceedings of the Society Conference of IEICE, 2014(1) 423-423, Sep 9, 2014
-
Proceedings of the Society Conference of IEICE, 2014(1) 424-424, Sep 9, 2014
-
Proceedings of the Society Conference of IEICE, 2014(1) 425-425, Sep 9, 2014
-
Proceedings of the Society Conference of IEICE, 2014(1) 426-426, Sep 9, 2014
-
IEICE technical report., 114(103) 7-12, Jun 24, 2014In this paper, we present an interactive and collaborative 3D virtual medical image visualization system to support collaborative medical diagnosis and treatments. Our system can be operated by several users (doctors) at different place. Each user can interactively access or visualize patient's 3D images using his/her own iPad and all users can share the information. It will be useful for remote discussions and diagnosis, remote collaborative works and remote medical educations. The intuitive computer graphic interface and virtual reality 3D environment make discussions and diagnosis more convenient and more efficient. The system has many special functions on operation such as show, zoom in, zoom out, slide, slide section, rotation, rotate section, browse the slice, mark the slice and location.
-
IEICE technical report., 114(103) 27-32, Jun 24, 2014Accurate segmentation of abdominal organs is a key step in computer-aided diagnosis (CAD) system. To accurately segment a tissue, a volume of interest (VOI), in which the organ was located, was defined by a user. However, user interaction usually makes the task laborious and time-consuming. Hence, we propose a method that finds the VOI bounding box of the organ automatically based on the bone reference, which can be easily extracted from CT volumes. The basic idea of our proposed method is to achieve anatomical localization according to the statistical geometric location of organs within the bone reference. How to choose the bone as the reference was a difficult task, because the available abdominal volume have large variation during imaging procedure. With taking these into consideration, we prepared four different bone references. Using the adaptive selection of appropriate reference bone, the extracted bone from the input image is registered to the reference. After registration of all tissues of the training images, we find the VOI of the ensemble of tissues and use it as the organ bounding box. For the test images, according to the adaptive selection of bone reference, the candidate organ region is extracted based on this organ bounding box. We demonstrated the effectiveness of our method by finding the bounding box of kidney, liver and spleen.
-
Technical report of IEICE. PRMU, 114(41) 31-35, May 22, 2014Medical imaging plays a central role in many healthcare practices. With the development of medical imaging devices, the medical image data can be achieved in higher and higher definitions, and then how to analyze and visualize the acquired large-amount and complex data is a desiring demand in medical education and clinical fields. Therefore, this paper develops a multi-touch based medical image analysis and visualization system for analyzing medical images, displaying the whole body's organs of a subject and the interested organ and region to explore more detailed structures. The designed system includes three modules: (1) Image analysis module, which will enable user segment a desired organ interactively; (2) Visualization module, which can manifest not only the detailed information and global structures of an organ in different view-points but also the correlated location relations between different organs; (3) Control module, which can enable the user to easily interact with the system by multi-touch based control. The designed system is able to achieve a detail visualization of the integrated components, and can be applied to education, doctor-training and clinical sites.
-
IEICE technical report. Signal processing, 114(39) 31-35, May 22, 2014Medical imaging plays a central role in many healthcare practices. With the development of medical imaging devices, the medical image data can be achieved in higher and higher definitions, and then how to analyze and visualize the acquired large-amount and complex data is a desiring demand in medical education and clinical fields. Therefore, this paper develops a multi-touch based medical image analysis and visualization system for analyzing medical images, displaying the whole body's organs of a subject and the interested organ and region to explore more detailed structures. The designed system includes three modules: (1) Image analysis module, which will enable user segment a desired organ interactively; (2) Visualization module, which can manifest not only the detailed information and global structures of an organ in different view-points but also the correlated location relations between different organs; (3) Control module, which can enable the user to easily interact with the system by multi-touch based control. The designed system is able to achieve a detail visualization of the integrated components, and can be applied to education, doctor-training and clinical sites.
-
IEICE technical report., 113(64) 25-30, May 24, 2013In this paper, we propose an automated method to assess small bowel motility function based on an Inter-frame Difference method with cine-MRI. The total Inter-frame Difference in a certain time interval is proportional to frequency and intensity of the small bowel motility. In order to remove the dependence on the intensity of the small bowel, we newly proposed an intensity-normalized Inter-frame Difference method. The experiment results show that our Normalized Inter-frame Differences method can get reasonable results.
-
IEICE technical report., 112(411) 311-315, Jan 24, 2013Locoregional therapy is currently an advanced technique for hepatocellular carcinoma of liver in great demand. For evaluating the treated margin after locoregional therapy, doctors and radiologist trend to use some 3D images fusion application to assess the results of locoregional therapy lately. Usually, Two CT volumes (both before and after locoregional therapy) are applied to a 3D non-rigid registration process so that the treated margin after locoregional therapy can be seen by visualizing the results of registration. However, since the traditional 3D non-rigid registration process uses center based initialization as an initialize approach, but it registration accuracy is not high enough. Therefore, we try to apply a landmark based initialization instead of traditional method when we get some reasonable landmarks from doctor. This paper describes our attempts and show the comparing results of our proposed method and traditional one.
-
IEICE technical report., 112(411) 185-190, Jan 24, 2013It is important to understand liver shape and its vessel structure before hepatic surgery. In this paper, we proposed a method to extract the liver vessel structure automatically for patient-specific surgical simulations. The proposed method is composed of three processes (extraction of vessel using multiscale filters, (thinning of extracted vessel, (labeling and vessel structure analysis. The system has potentials to be used for treatment/surgical planning, and even as a guided surgery system.
-
Technical report of IEICE. PRMU, 112(37) 33-38, May 10, 2012In the field of Computer-aided Diagnosis, organs' shape variability have been found to be important for understanding their inherent structures. It's also well known that Statistical Shape Model (SSM) can effectively capture the shape variation of given training set. Consequently, diseases that cause organ deformations have the possibility to be diagnosed with the aid of computer by SSM based organ shape analysis. However, it's difficult to decide which modes are selected as indicators to assist the diagnosis. Hence, applications of applying SSM for assisting diagnosis haven't widely concerned. In this study we propose a novel modes selection method and test it in case of assisting Cirrhosis diagnosis. Experimental results validate the effectiveness of our method and its potential for assisting the clinic diagnosis.
-
IEICE technical report. Image engineering, 112(36) 33-38, May 10, 2012In the field of Computer-aided Diagnosis, organs' shape variability have been found to be important for understanding their inherent structures. It's also well known that Statistical Shape Model (SSM) can effectively capture the shape variation of given training set. Consequently, diseases that cause organ deformations have the possibility to be diagnosed with the aid of computer by SSM based organ shape analysis. However, it's difficult to decide which modes are selected as indicators to assist the diagnosis. Hence, applications of applying SSM for assisting diagnosis haven't widely concerned. In this study we propose a novel modes selection method and test it in case of assisting Cirrhosis diagnosis. Experimental results validate the effectiveness of our method and its potential for assisting the clinic diagnosis.
-
IEICE technical report., 112(38) 39-44, May 10, 2012In medical imaging research, the three-dimensional (3-D) shape representation and analysis of anatomic structures using only a few parameters is an important issues, and can be applied to computer assisted diagnosis, surgical simulations, visualization, and many other medical applications. This paper proposes the representation of the shape surfaces of a simply connected 3-D object using spherical harmonic (spharm) functions, which can provide an approximate global description of the shape using only a few spharm parameters. Spharms are obtained from several partial differential equations used in physics, such as the Laplace, Helmholtz, and Schrodinger equations, in which spherical coordinates are used. In this study, we aim to develop a 3D representation of human anatomy, such as the liver and spleen, with fewer parameters by using spharm functions. Furthermore, the experimental results show that the shape of the liver and spleen can be accurately represented with only a few spharm parameters.
-
Proceedings of the IEICE General Conference, 2012(2) 206-206, Mar 6, 2012
-
日本外科学会雑誌, 113(2) 399-399, Mar 5, 2012
-
PROCEEDINGS OF THE ITE ANNUAL CONVENTION, 2012 8-7-1-_8-7-2_, 2012Our goal is to let people experience and learn the nature of the ocean. We propose an algorithm for behavior generalization of fish school by the potential field method. The proposed incorporation of this method has potential to keep computational cost down, and generate various and adaptive behaviors in 3D-spaces.
-
日本外科学会雑誌, 112(1) 455-455, May 25, 2011
-
IEICE technical report, 111(47) 31-36, May 12, 2011Recently, analysis of facial morphology and its relationship to genes has received considerable attention. In this paper, we present a scheme of 3D shape alignment for analysis of the relationship of face shape and genes. We employ the Cylindrical Polar transform to sample the original 3D shape data which was obtained using the 3D laser scanner. By mapping the sampled data to a 2D image, we can obtain the shape feature points manually, then these feature points are mapped back to 3D coordinate and are used to 3D shape alignment based on Generalized Procrustes Analysis (GPA). The experimental results show the effectiveness of the proposed method for 3D shape alignment.
-
IEICE technical report, 111(49) 159-164, May 12, 2011Livers of patient are difference for each of vessels and form. Surgical support dealing with patients is needed. Previous time, computer detects liver and vessel semiautomatic, their images are visualized 3D. This article is part 2. Liver modeling is created in a virtual space. Virtual operation is transforms its modeling. The doctor recognizes process of liver surgery. He or she watch 3D display and intuitively understand structure of human liver.
-
IEICE technical report, 110(382) 21-26, Jan 13, 2011There are many methods for detecting Liver tumor. And those methods are based on intensity information. However, if the contrast of CT images is low, it is difficult to detect the tumor accurately. In this paper, we propose a contrast enhancement method based on probability density function which can be obtained from training data. After preprocessing of contrast enhancement, we use an EMJMPM algorithm to detect the tumor.
-
IEICE technical report, 110(382) 27-32, Jan 13, 2011The statistical shape model has been focused by many researchers. This model can statistically express the anatomic structure of the organs which have great differences between individuals. In our earlier work we validated that it is feasible to diagnose liver cirrhosis by using the statistical shape model of the liver. However, the previous work constructed the statistical model without data normalization. In this research, we firstly normalize volume data and then construct the statistical model. The effectiveness of the constructed model is evaluated by the classification accuracy of normal and abnormal.
-
IEICE technical report, 110(382) 33-38, Jan 13, 2011Computer Assisted Diagnosis/Surgery systems provide an indisputable effect on the diagnosis and surgery of hepatic diseases. In this paper, we propose a novel simulation system for liver surgical planning, which combined image processing and computer vision techniques. The proposed system is composed of three modules, liver segmentation, vessel extraction, and visualization/interaction. We first segment liver region from CT volume by using K-Means Clustering and Geodesic Active Contour Algorithms. And then we extract vessels by using multiscale filters. The third visualization/interaction module visualizes them, and prepares the user a virtual environment to perform surgical operation on the liver image. The system has potentials to be used for treatment/surgical planning, and even as a guided surgery system.
-
ITE Technical Report, 35 5-8, 2011In this paper, we propose the agent-based architecture to simulate fish behaviors for Visual Marine Museum. We introduce immune networks, which enable the agents to behave autonomously in dynamic environment, to the fish controller. Particle swarm optimization techniques are also used to acquire the parameters of immune networks. Through some computational simulations, we examine that appropriate behaviors can be acquired by our proposed systems.
-
ITE Technical Report, 35 29-32, 2011An icon (from Greek εικων eikon "image") is a religious work of art, most commonly a painting, from Eastern Christianity and in certain Eastern Catholic churches. For studying the culture behind the icons, it is important to know the similarities and differences between them. This paper propose a method of clustering west Icons using facial shape features. The facial shape is represented by the landmarks of faces. A k-means method is employed for the clustering. The experimental results show that the proposed method can effectively cluster the Icons.
-
IEICE technical report, 110(28) 25-30, May 6, 2010In this paper, we propose a new method to detect liver tumor automatically in CT images. Although previous work used EM algorithm, the algorithm couldn't detect tumor which is brighter than usual tumor intensity. So in this research, we used EM/MPM algorithm which consider not only the pixel intensity but also neighboring pixel label and can detect tumors more accurately. And another thing, we considered the tumor shape information and we can decrease the number of false positive drastically.
-
IEICE technical report, 110(28) 31-36, May 6, 2010In this research, we construct the statistical shape model of the liver, and its application to the diagnostic support of cirrhosis from the constructed model. We construct the statistical shape model by using the CT image of normal and cirrhosis livers and propose that the coefficients of the model are used to recognize whether liver is normal or abnormal. We prove that it is feasible to diagnose liver cirrhosis by using the statistical shape model of the liver.
-
IEICE technical report, 110(28) 103-108, May 6, 2010Statistical model is to model the shape variation of an object for human organ, and used for a variety of medical application. In medical statistical shape field, the medical training samples are very limited, so it is difficult to construct a statistical shape model with generalization from few samples. In this paper, we propose a novel efficient 3D-shape representation method based sphere coordinate representation, and 2D-PCA based statistical shape model method from few medical samples and show its effectiveness. The experiments showed that our proposed method can reconstruct statistical shape model be always higher than conventional method.
Books and Other Publications
3Presentations
4-
High Performance VDI Conference 2020, Oct 25, 2020 Invited
-
High Performance VDI Conference 2020, Oct 25, 2020 Invited
-
High Performance VDI Conference 2020, Oct 25, 2020 Invited
-
High Performance VDI Conference 2019, Oct 2, 2019 Invited
Teaching Experience
22Professional Memberships
9Research Projects
7-
Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Apr, 2022 - Mar, 2027
-
Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, Apr, 2018 - Mar, 2021
-
科学研究費助成事業, 日本学術振興会, 2020 - Mar, 2025
-
Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B), Japan Society for the Promotion of Science, Apr, 2015 - Mar, 2018
-
Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2012 - Mar, 2015