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-
IEICE Transactions on Information and Systems (Web), E107.D(3), 2024
-
日本放射線技術学会総会学術大会予稿集, 79th, 2023
-
映像情報メディア学会技術報告, 46(39(ME2022 86-97/SIP2022 5-16)), 2022
-
教育システム情報学会全国大会講演論文集(CD-ROM), 46th 172-174, Feb 27, 2021
-
電気学会研究会資料, (IIS-21-001-004.006) 13-14, Feb 27, 2021
-
映像情報メディア学会技術報告, 45(7) 27-28, Feb 26, 2021
-
電子情報通信学会技術研究報告(Web), 120(409) 83-85, Feb 25, 2021
-
電子情報通信学会技術研究報告(Web), 121(98(MI2021 9-20)), 2021
-
映像情報メディア学会技術報告, 45(39(ME2021 88-96)), 2021
-
電気学会研究会資料, (IS-20-034-046.048.051-066) 55-58, Oct 12, 2020
-
電気学会研究会資料, (IS-20-034-046.048.051-066) 113-116, Oct 12, 2020
-
電気学会研究会資料, (IS-20-034-046.048.051-066) 135-137, Oct 12, 2020
-
電子情報通信学会技術研究報告(Web), 120(187) 90-92, Oct, 2020
-
電気学会研究会資料, (PI-20-033-046.048) 17-20, Mar 4, 2020
-
電気学会研究会資料, (PI-20-033-046.048) 7-9, Mar 4, 2020
-
電気学会研究会資料, (PI-20-033-046.048) 3-5, Mar 4, 2020
-
電気学会研究会資料, (PI-20-033-046.048) 1-2, Mar 4, 2020
-
電子情報通信学会技術研究報告(Web), 120(156(MI2020 17-32)), 2020
-
電気学会研究会資料, 2019(60) 51-53, Nov 9, 2019
-
電気学会研究会資料, 2019(25) 5-9, Mar 18, 2019
-
Locomotion simulation system based on PID control design in VR Experience Campus and its application電気学会研究会資料, 2019(16) 9-12, Mar 2, 2019
-
電気学会研究会資料. PI = The papers of Technical Meeting on "Perception Information", IEE Japan,, 2018(16) 29-32, Mar 26, 2018
-
Proceedings of the IEICE General Conference, 2016(2) 171-171, Mar 1, 2016
-
電子情報通信学会技術研究報告, 115(139) 33-38, Jul 14, 2015
-
電子情報通信学会技術研究報告, 115(139) 13-17, Jul 14, 2015
-
Proceedings of the IEICE General Conference, 2015(1) 588-588, Feb 24, 2015
-
Proceedings of the IEICE General Conference, 2015(2) 153-153, Feb 24, 2015
-
Medical Imaging Technology, 33(2) 58-66, 2015In medical image analysis, the three-dimensional (3D) shape representation and modeling of anatomic structures using only a few parameters is an important issue, and can be applied to computer assisted diagnosis, surgical simulations, visualization, and many other medical applications. The conventional statistical shape models are constructed by directly analyzing the shape vector represented by a set of landmark points based on the surface information, which is also called as point distribution models (PDM). In generally PDM used vertexs of surface points for shape representation, as a shape information. However, it is difficult to find the corresponding points among the samples. Therefore, PDM cannot efficiently describe the shape information, especially the global shape information, because of its large number of vertexes. The paper presents an efficient shape representation method using spherical harmonic functions (SPHARM) for 3D anatomical structure such as the liver, spleen and so on. We show that the 3D shape of the liver can be reconstructed by a few coefficients of the SPHARM.
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