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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI, MICT | 2023-11-14 13:00 |
Fukuoka | Brain Disease Classification Based on Brain MRI Images Using 3D-CNN Daisuke Hayashi, Akio Nagasaka, Yuji Mochizuki, Takayuki Hayashi (Hitachi), Takefumi Ueno (NHO Hizen Psychiatric Center)  MICT2023-29 MI2023-22 |
Schizophrenia and Alzheimer’s disease are brain diseases that cause structural changes in the brain. In this paper, we c... [more] | MICT2023-29 MI2023-22 pp.15-20 |
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| MI | 2022-01-27 14:43 |
Online | Online | Reconstruction of electrical conductivity and permittivity in human bodies using MRI
-- Estimation of boundary electric fields based on boundary element methods -- Toko Nakai, Naohiro Eda, Hiroki Miyazako, Keisuke Hasegawa, Takaaki Nara (Univ. of Tokyo) MI2021-81 |
Imaging the conductivity and permittivity of the human body using magnetic fields measured by MRI is expected as a new m... [more] | MI2021-81 pp.156-161 |
| IE | 2022-01-24 13:05 |
Tokyo | National Institute of Informatics (Primary: On-site, Secondary: Online) |
Reduction of Truncation Artifacts by Massive-Training Artificial Neural Network (MTANN) in Fast-Acquisition MRI of the Knee Maodong Xiang, Ze Jin, Kenji Suzuki (Tokyo Tech) IE2021-31 |
MRI has a relatively long acquisition time, leading to patient comfort problems and artifacts from patient motion. Accel... [more] | IE2021-31 pp.21-26 |
| MI | 2021-05-17 14:40 |
Online | Online | MR super-resolution based on signal-image domain learning using phase scrambling Fourier transform imaging Kazuki Yamato, Hiromichi Wakatsuki, Satoshi Ito (Utsunomiya Univ.) MI2021-6 |
In the phase-scrambling Fourier transform (PSFT) imaging, the signals not sampled during imaging can be extrapolated and... [more] | MI2021-6 pp.14-19 |
| MI | 2021-03-15 15:00 |
Online | Online | A study on combination of parallel imaging and compressed sensing for improving the acceleration rate of MRI using Bloch simulator Akihide Kanetaka, Yuta Endo, Haruna Shibou, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ.) MI2020-58 |
Parallel imaging (PI) and compressed sensing (CS) were developed as high-speed MRI technologies, and further studies to ... [more] | MI2020-58 pp.51-55 |
| IBISML | 2020-03-11 14:10 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Accuracy of Brain Tumor Detection and Classification Based on Under Sampled k-Space Signals Tania Sultana, Sho Kurosaki, Yutaka Jitsumatsu, Junichi Takeuchi (Kyushu Univ.) IBISML2019-46 |
The prime concern of Magnetic Resonance Imaging (MRI) is to optimize examination time by assuring a good quality of the... [more] |
IBISML2019-46 pp.91-94 |
| NC, MBE (Joint) |
2020-03-05 09:55 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
Noniterative Three-dimensional Reconstruction of Electrical Properties Using MRI Based on Integral Equations Naohiro Eda, Motohumi Fushimi, Takaki Nara (The Univ. Tokyo) MBE2019-82 |
(To be available after the conference date) [more] | MBE2019-82 pp.5-10 |
| EA, SIP, SP | 2019-03-14 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
MR Image Reconstruction Using Two Types of Dictionaries and the Diagonalization of a BCCB Matrix Kazuma Nakamoto, Kosuke Fujii, Daichi Kitahara, Akira Hirabayashi (Ritsumeikan Univ.) EA2018-112 SIP2018-118 SP2018-74 |
We propose a high-quality MR image reconstruction method using both of an adaptive orthogonal dictionary and a pre-train... [more] | EA2018-112 SIP2018-118 SP2018-74 pp.75-80 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 16:00 |
Okinawa | Three-Dimensional Reconstruction of Electrical Properties Using MRI Based on the Integral Formula for Generalized Analytic Functions Motofumi Fushimi, Takaaki Nara (Univ. of Tokyo) MI2017-103 |
Magnetic Resonance Electrical Properties Tomography (MREPT) has been actively studied as an imaging modality that recon... [more] |
MI2017-103 pp.135-140 |
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| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | Regularization of learning prameters in posterior mean estimate approximation in CS-SENSE method Ken Harada, Masato Inoue (Waseda Univ.), Kaori Togashi (Kyoto Univ.) IBISML2017-52 |
We have proposed a method to approximate posterior mean (PM) estimation of the CS-SENSE method, which is one of the tech... [more] | IBISML2017-52 pp.131-138 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 14:00 |
Tokyo | Posterior Mean Approximate Estimate Considering Uncertainty of Sensitivity Map in CS-SENSE Ken Harada, Masato Inoue (Waseda Univ.), Kaori Togashi (Kyoto Univ.) PRMU2017-49 IBISML2017-21 |
Posterior mean (PM) estimation is generally more accurate than maximum a posteriori probability (MAP) estimation when we... [more] | PRMU2017-49 IBISML2017-21 pp.75-82 |
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| PRMU, CNR | 2017-02-19 11:20 |
Hokkaido | [Poster Presentation]
Compressed Sensing for 4D-MRI
-- Fast Algorithm of Image Reconstruction -- Kohei Mochizuki, Tomoya Sakai (Nagasaki Univ.), Yukinojo Kitakami, Hideaki Haneishi (Chiba Univ.) PRMU2016-181 CNR2016-48 |
This work aims to reduce measurement time and improve the computational efficiency of four-dimensional magnetic resonanc... [more] | PRMU2016-181 CNR2016-48 pp.159-160 |
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| MI | 2017-01-18 15:24 |
Okinawa | Tenbusu Naha | Rie Oyama, Chizuko Isyrygi, Hideyuki Senda, Yuri Sasaki, Gen Haba, Tomonobu Kanasugi, Akihiko Kikuchi, Toru Sugiyama (IMU), Sonia Pujol (HMS) MI2016-115 |
Introduction: Recently, there has been a growing interest among scientists in the mechanism of developmental the fetal b... [more] | MI2016-115 pp.171-176 |
| MI, MICT | 2016-09-16 10:00 |
Tokyo | Koganei Campus, Tokyo University of Agriculture and Technology | Boundary Value Estimation and Distribution Reconstruction of Electrical Properties on a Plane Using MRI Motofumi Fushimi, Tetsuya Furuichi, Takaaki Nara (U Tokyo) MICT2016-35 MI2016-49 |
Electrical properties(conductivity and permittivity) of biological tissue provide useful information for diagnosis of ma... [more] | MICT2016-35 MI2016-49 pp.9-12 |
| PRMU, IE, MI, SIP | 2016-05-19 15:10 |
Aichi | High accuracy reconstruction algorithm for CS-MRI using SDMM Motoi Shibata, Norihito Inamuro, Takashi Ijiri, Akira Hirabayashi (Ritsumeikan Univ.) SIP2016-12 IE2016-12 PRMU2016-12 MI2016-12 |
We propose a high accuracy magnetic resonance imaging (MRI) reconstruction algorithm from compressively sampled measurem... [more] | SIP2016-12 IE2016-12 PRMU2016-12 MI2016-12 pp.59-64 |
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| MBE, NC (Joint) |
2015-12-19 09:25 |
Aichi | Nagoya Institute of Technology | On the imaging strategy of T1 weighted image using compressed sensing in ultra-low field MRI Kazuhiro Tamiwa, Takenori Oida, Tetsuo Kobayashi (Kyoto Univ.) MBE2015-79 |
In recent years, ultra-low field MRI (ULF-MRI) has attracted wide attention. Although the ULF-MRI has a disadvantage tha... [more] | MBE2015-79 pp.95-100 |
| MBE, NC (Joint) |
2015-12-19 09:50 |
Aichi | Nagoya Institute of Technology | MR signal detection of hyperpolarized xenon with atomic magnetometers in ultra-low field based on SWIFT approach Yuki Kaga, Takenori Oida, Tetsuya Yamamoto, Tetsuo Kobayashi (Kyoto Univ.) MBE2015-80 |
In recent years, ultra-low field MRI (ULF-MRI) has been attracting attention because of its advantages such as low maint... [more] | MBE2015-80 pp.101-106 |
| MBE | 2015-06-26 10:25 |
Hokkaido | Hokkaido Univerisity | Hyperpolarized xenon imaging with SWIFT approach and NUFFT reconstruction in ultra-low field MRI
-- A simulation study -- Yuki Kaga, Takenori Oida, Tetsuo Kobayashi (Kyoto Univ.) MBE2015-14 |
Recently, ultra-low field MRI (ULF-MRI) has attracted attention as a medical imaging technique. In ULF-MRI, since nuclea... [more] | MBE2015-14 pp.7-12 |
| MI | 2015-03-02 09:17 |
Okinawa | Hotel Miyahira | 4D-MRI Reconstruction using the low-rank plus sparse matrix decomposition Yukinojo Kitakami, Takashi Ohnishi, Yoshitada Masuda (Chiba Univ. Engineering), Koji Matsumoto (Chiba University Hospital), Hideaki Haneishi (Chiba Univ. Engineering) MI2014-54 |
4D-MRI can visualize and quantify the three-dimensional dynamics of the thoracoabdominal respiratory movement and allows... [more] | MI2014-54 pp.7-11 |
| SCE | 2015-01-22 13:00 |
Tokyo | Kikaishinkou-kaikan | Ultra-Low Field MRI System using HTS-SQUID with a LC Resonator for Food Inspection Hirotomo Toyota, Masaaki Yamamoto, Satoshi Kawagoe, Junichi Hatta, Seiichiro Ariyoshi, Saburo Tanaka (Toyohashi Univ. of Technol.) SCE2014-54 |
We are developing an Ultra-Low Field (ULF) Magnetic Resonance Imaging (MRI) system using High Temperature Superconductor... [more] | SCE2014-54 pp.31-35 |
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