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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 13:25 |
Kagoshima | Kagoshima University | A Study on Generation of Omnidirectional Free Viewpoint Images Using a Generative Adversarial Network Oto Takeuchi, Hidehiko Shishido, Yoshinari Kameda, Itaru Kitahara (Tsukuba Univ.)  IMQ2018-36 IE2018-120 MVE2018-67 |
(To be available after the conference date) [more] | IMQ2018-36 IE2018-120 MVE2018-67 pp.79-84 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-15 13:00 |
Kagoshima | Kagoshima University | Non-blind image deblurring using deep image prior Takanori Fujisawa, Masaaki Ikehara (Keio Univ.) IMQ2018-66 IE2018-150 MVE2018-97 |
Deep learning has become a major tools for image generation and image restoration. General approach for deep learning is... [more] | IMQ2018-66 IE2018-150 MVE2018-97 pp.239-244 |
| 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 |
| NC, MBE (Joint) |
2019-03-06 15:50 |
Tokyo | University of Electro Communications | PET Image Reconstruction by use of Dictionary Learning Naohiro OKumura, Hayaru Shouno (UEC) NC2018-85 |
Nowadays, Positron Emission Tomography (PET) scan is focused in the field of pathological diagnosis.In order to obtain a... [more] | NC2018-85 pp.221-226 |
| MBE | 2019-01-31 10:00 |
Saga | Saga University | Development of a System for Visual Image Reconstruction by Decoding Brain State Using a Compact EEG Recorder Aina Arai, Ryota Horie (SIT) MBE2018-57 |
In this study, we proposed a method to reconstruct images from EEG signals measured from a subject who looked at the im... [more] | MBE2018-57 pp.1-4 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Posterior mean approximation solution combining multiple image prior distributions in MR image reconstruction Nanako Kubota, Ken Harada (Waseda Univ.), Koji Fujimoto, Tomohisa Okada (Kyoto Univ.), Masato Inoue (Waseda Univ.) IBISML2018-47 |
In the MR image reconstruction, combining multiple image prior distributions is preferred to obtain better results, but ... [more] | IBISML2018-47 pp.23-28 |
| NLP | 2018-08-08 14:10 |
Kagawa | Saiwai-cho Campus, Kagawa Univ. | Development of Deep Neural Network for Initial Values Generation of Dynamical Image-Reconstruction System Ken'ichi Fujimoto, Yuichi Tanji, Hiroyuki Kitajima, Yo Horikawa (Kagawa Univ.) NLP2018-56 |
One of the authors et al.¥ have proposed a continuous-time dynamical system for reconstructing tomographic images from a... [more] | NLP2018-56 pp.21-24 |
| PRMU, MI, IE, SIP | 2018-05-18 14:45 |
Gifu | Low-Dose CT Image Reconstruction with Multiclass Dictionary Learning Hiryu Kamoshita, Daichi Kitahara, Akira Hirabayashi (Ritsumeikan Univ.) SIP2018-15 IE2018-15 PRMU2018-15 MI2018-15 |
We propose a high-precision CT image reconstruction method from low-dose X-ray projection data. In conventional reconstr... [more] | SIP2018-15 IE2018-15 PRMU2018-15 MI2018-15 pp.63-68 |
|
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | Compressed Sensing CT image reconstruction using Bayesian Optimization for mixing multiple image priors Tomonori Suga, Masato Inoue (Waseda Univ.) IBISML2017-73 |
In order to reduce the amount of radiation exposure, which increases the risk of cancer, many researches have been done ... [more] | IBISML2017-73 pp.283-288 |
| EMT, IEE-EMT | 2017-06-02 13:00 |
Tokyo | Nihon University | Realtime 3D image reconstruction methods based on compressive sensing with CUDA support Iakov Chernyak, Motoyuki Sato (Tohoku Univ.) EMT2017-3 |
We developed a number of GPU optimized 3D radar image reconstruction algorithms and applied it for the 3D sparse array r... [more] | EMT2017-3 pp.19-24 |
| IBISML | 2016-11-16 15:00 |
Kyoto | Kyoto Univ. | [Poster Presentation]
An ensemble learning for MR image reconstruction Yufu Kasahara, Masato Inoue (Waseda Univ), Kaori Togashi (Kyoto Univ) IBISML2016-58 |
In order to shorten the magnetic resonance (MR) imaging time, a lot of image reconstruction methods from a small number ... [more] | IBISML2016-58 pp.87-91 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | [Poster Presentation]
MAP reconstruction of multi-coil MR image with tree-structured wavelet prior Yufu Kasahara, Masato Inoue (Waseda Univ), Kaori Togashi (Kyoto Univ) IBISML2016-84 |
The magnetic resonance (MR) imaging is important for medical evaluation. However, it suffers from a long observation tim... [more] | IBISML2016-84 pp.275-278 |
| MI | 2016-11-14 15:00 |
Tottori | Tottori Univ. | [Short Paper]
Study of Dynamic PET Reconstruction by Low-rank Non-negative Matrix Factorization Junya Yamada, Hidekata Hontani, Tatsuya Yokota (NIT), Muneyuki Sakata (TMIG), Yuichi Kimura (KU) MI2016-69 |
Tissue time activity curves observed in dynamic images are used for kinetic analysis of brain PET. In order for improvin... [more] | MI2016-69 pp.31-32 |
| 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 |
| MBE, NC (Joint) |
2016-03-23 09:25 |
Tokyo | Tamagawa University | Fundamental study to improve accuracy of 3D reconstruction technique using optical transillumination images of animal body Fumika Miyajima, Yuji Kato, Koichi Simizu (Hokkaido Univ.) MBE2015-117 |
In three-dimensional (3D) transillumination imaging of internal structure of animal body, the image is blurred due to th... [more] | MBE2015-117 pp.77-81 |
| MI | 2015-09-08 10:30 |
Tokyo | Univ. of Electro-communications | Fast Statistical Image Reconstruction Method Using Filtered-Backprojection-Type Preconditioning Fukashi Yamazaki, Takuya Nemoto, Keita Takaki, Hiroyuki Kudo (Univ. of Tsukuba) MI2015-48 |
Statistical image reconstruction can take the statistical nature of the noise in to account. However, it requires enormo... [more] | MI2015-48 pp.1-6 |
| MI | 2015-09-08 10:55 |
Tokyo | Univ. of Electro-communications | Proposal of a Fault-Tolerant CT Image Reconstruction Method Keita Takaki, Fukashi Yamazaki, Takuya Nemoto, Hiroyuki Kudo (Tsukuba Univ.) MI2015-49 |
In CT imaging, data missing occurs due to limitations of the equipment when measuring projection data. It produces artif... [more] | MI2015-49 pp.7-11 |
| SIS | 2015-03-05 15:15 |
Tokyo | Meiji Univ. Nakano Campus (Tokyo) | Image Synthesis of Twin Camera Using Self Similarity for Nasal Breath Test Katsuya Kondo, Rieko Doi, Kazuo Ryoke (Tottori Univ) SIS2014-101 |
For examination of velopharyngeal function etc., a nasal breath mirror of stainless plate is often used. The disease can... [more] | SIS2014-101 pp.57-60 |
| 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 |
| MI | 2015-03-03 09:00 |
Okinawa | Hotel Miyahira | Improvement of Detection Limit in Fluorescent X-ray Computed Tomography due to Multi-Pinhole Effect Tenta Sasaya (Yamagata Univ), Naoki Sunaguchi (Gunma Univ), Dai Aoki, Tetsuya Yuasa (Yamagata Univ), Kazuyuki Hyodo (KEK), Tsutomu Zeniya (NCVC) MI2014-88 |
So far, we have developed a fluorescent x-ray computed tomography using a pinhole effect. However, since S/N of projecti... [more] | MI2014-88 pp.161-166 |
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