Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2024-03-04 09:36 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Overfitting Prevention for PET Image Reconstruction using Early Stopping of Deep Image Prior based on Unbiased Risk Estimator Kaito Matsumura, Hidekata Hontani (NIT), Muneyuki Sakata (TMIG), Yuichi Kimura (KDU), Tatsuya Yokota (NIT) MI2023-65 |
In recent years, methods for PET image reconstruction using Deep Image Prior (DIP) have been actively studied. In PET im... [more] |
MI2023-65 pp.106-108 |
MI, MICT |
2023-11-14 15:40 |
Fukuoka |
|
Improving image quality of sparse-view micro-CT using Wasserstein GAN Naoki Ikezawa, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MICT2023-36 MI2023-29 |
Applications of micro-CT in pathology and histology have been studied in recent years, and we need to shorten the scanni... [more] |
MICT2023-36 MI2023-29 pp.45-47 |
SANE |
2023-06-30 13:25 |
Kanagawa |
JAXA Sagamihara Campus (Primary: On-site, Secondary: Online) |
Study on 3-D Bistatic Synthetic Aperture Radar Image Reconstruction Takuma Watanabe (Univ. of Toyama) SANE2023-19 |
Synthetic aperture radar (SAR) has been widely utilized in various research fields such as near-field radar cross sectio... [more] |
SANE2023-19 pp.21-24 |
SANE |
2023-05-23 11:00 |
Kanagawa |
Information Technology R & D Center, MITSUBISHI Electric Corp. (Primary: On-site, Secondary: Online) |
Theoretical Study on Bistatic Circular SAR Image Reconstruction Takuma Watanabe (FSI) SANE2023-5 |
Circular synthetic aperture radar (CSAR) is a type of imaging radar in which the radar-carrying platform moves along a c... [more] |
SANE2023-5 pp.24-29 |
SP, IPSJ-SLP, EA, SIP [detail] |
2023-02-28 10:40 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Image reconstruction with a diffusion model for robust image classification against unknown degradation Teruaki Akazawa (Tokyo Metro. Univ.), Yuma Kinoshita (Tokai Univ.), Hitoshi Kiya (Tokyo Metro. Univ.) EA2022-83 SIP2022-127 SP2022-47 |
This paper presents an image reconstruction method with a diffusion model for robust image classification against image ... [more] |
EA2022-83 SIP2022-127 SP2022-47 pp.49-54 |
IE |
2023-02-02 13:55 |
Tokyo |
NII (Primary: On-site, Secondary: Online) |
Image reconstruction by warping shift-invariant systems in a holographic transparent screen camera Keiji Takahashi, Saori Takeyama, Masahiro Yamaguchi (Tokyo Tech) IE2022-52 |
A transparent screen camera, implemented using waveguide holographic optical elements, is combined with an image reconst... [more] |
IE2022-52 pp.6-10 |
AP, SANE, SAT (Joint) |
2022-07-29 09:25 |
Hokkaido |
Asahikawa Taisetsu Crystal Hall (Primary: On-site, Secondary: Online) |
Radar Image Simulation Based on the Foldy-Lax Equations Including Multiple Scattering Effects Takuma Watanabe (FSI) SANE2022-31 |
Numerical models used in radar signal processing often assume a single or Born approximation, where the effects of multi... [more] |
SANE2022-31 pp.49-54 |
AP |
2022-03-11 09:55 |
Online |
Online |
Synthetic Aperture Radar Imaging with Uneven Spatial Sampling Takuma Watanabe (FSI), Hiroyoshi Yamada (Niigata Univ.) AP2021-194 |
Radar sensing has been widely used in consumer applications, an example of which is an automotive radar for collision av... [more] |
AP2021-194 pp.67-72 |
MBE, NC (Joint) |
2022-03-02 16:10 |
Online |
Online |
XMCD-CT Reconstruction Using Compressed Sensing Tsukito Takizawa, Hayaru Shouno (The Univ. of Electro-Communications), Masaichiro Mizumaki (JASRI), Motohiro Suzuki (Kwansei Gakuin Univ.) NC2021-58 |
Observation of the magnetic domain structure is important for understanding the magnetic properties of materials includi... [more] |
NC2021-58 pp.62-67 |
MI |
2022-01-27 14:30 |
Online |
Online |
Reducing the number of projections in 3-D Compton Camera using EM-TV based image reconstruction Tomohiro Ono (Hirosaki Univ.), Yuto Nagao, Mitsutaka Yamaguchi, Naoki Kawachi (QST), Tsutomu Zeniya (Hirosaki Univ.) MI2021-80 |
It is desired to develop a Compton camera, which has been used for gamma ray detection in space and the environment, as ... [more] |
MI2021-80 pp.150-155 |
SANE |
2021-12-16 14:35 |
Chiba |
Chiba University (Primary: On-site, Secondary: Online) |
Scattering Cross-Section Synthesis for Multiple Targets Based on Radar Image Takuma Watanabe (Fujitsu), Hiroyoshi Yamada (Niigata Univ.) SANE2021-75 |
In this study, we propose a radar cross-section (RCS) prediction method for a cluster of multiple targets that combines ... [more] |
SANE2021-75 pp.69-74 |
EID, ITE-3DMT, ITE-IDY, IEE-OQD, SID-JC [detail] |
2021-11-12 14:40 |
Online |
Online |
A transparent camera overlaying a display surface using holographic waveguide device Masahiro Yamaguchi, Noriyuki Tagami, Xiao Chen, Tomoya Nakamura, Saori Takeyama (Tokyo Tech) EID2021-3 |
We propose an imaging system that can capture frontal images of objects in front of a display by attaching a holographic... [more] |
EID2021-3 pp.6-9 |
MI |
2021-03-15 14:30 |
Online |
Online |
Comparison of Deep Learning Reconstruction for MR Compressed Sensing Shinya Abe, Shohei Ouchi, Satoshi Ito (Utsunomiya Univ.) MI2020-56 |
The theory of compressed sensing (CS) has been introduced to MRI to reduce the scan time. However, CS reconstruction int... [more] |
MI2020-56 pp.41-45 |
MI |
2021-03-17 13:15 |
Online |
Online |
Applications of hybrid reconstruction combining PET and Compton imaging Hideaki Tashima, Eiji Yoshida (NIRS-QST), Takumi Nishina (Chiba Univ.), Sodai Takyu, Fumihiko Nishikido (NIRS-QST), Mikio Suga (Chiba Univ.), Hidekatsu Wakizaka, Miwako Takahashi, Kotaro Nagatsu, Atsushi Tsuji (NIRS-QST), Kei Kamada, Akira Yoshikawa (C&A/Tohoku Univ.), Katia Parodi (LMU), Taiga Yamaya (NIRS-QST) MI2020-94 |
We have been developing WGI enabling simultaneous measurement of PET and Compton imaging. This study developed a hybrid ... [more] |
MI2020-94 pp.203-206 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2021-02-18 16:40 |
Online |
Online |
Image Reconstruction Technique using Object's Motion for Single Photon Imaging Kiyotaka Iwabuchi, Yusuke Kameda, Takayuki Hamamoto (TUS) ITS2020-33 IE2020-47 |
The single-photon imaging that enables high-quality imaging even in a low incident light level environment, records inci... [more] |
ITS2020-33 IE2020-47 pp.37-42 |
HCGSYMPO (2nd) |
2019-12-11 - 2019-12-13 |
Hiroshima |
Hiroshima-ken Joho Plaza (Hiroshima) |
Moire fringe animation display by see-through cloth overlay Kazuki Yamada, Naoto Wakatsuki, Koichi Mizutani, Keiichi Zempo (Univ. Tsukuba) |
We propose a method that enables animation by overlapping see-through cloths. We use moire as a
way to make this design... [more] |
|
IE, CS, IPSJ-AVM, ITE-BCT [detail] |
2019-12-06 14:15 |
Iwate |
Aiina Center |
Image Restoration using a Codec Yoko Sogabe, Shiori Sugimoto, Takayuki Kurozumi, Hideaki Kimata (NTT) CS2019-86 IE2019-66 |
Image restoration, which is an inverse problem such as compressed
sensing and super-resolution, requires priors (e.g. ... [more] |
CS2019-86 IE2019-66 pp.105-109 |
MI, MICT [detail] |
2019-11-05 09:20 |
Ibaraki |
Univ. of Tsukuba |
[Short Paper]
Evaluating image quality of nonlocal total variation and nonlocal means filter based Compressed Sensing in sparse-view CT Yongchae Kim, Katsuya Fujii, Hiroyuki Kudo (Tsukuba Univ.) MICT2019-23 MI2019-50 |
TV(Total Variation) is studied most widely in the field of X-ray CT image reconstruction. However, TV considers only adj... [more] |
MICT2019-23 MI2019-50 pp.1-4 |
MI, MICT [detail] |
2019-11-05 16:10 |
Ibaraki |
Univ. of Tsukuba |
[Short Paper]
Proposal of fault-tolerant CT image reconstruction using Nonlocal Total Variation and its application to metal artifact reduction Kazuki Chigita (Univ. Tsukuba), Jian Dong (TUTE), Yongchae Kim, Hiroyuki Kudo (Univ. Tsukuba) MICT2019-37 MI2019-64 |
When some abnormal data is included in the projection data, the normal image reconstruction method increases the influen... [more] |
MICT2019-37 MI2019-64 pp.55-56 |
PRMU, MI, IPSJ-CVIM [detail] |
2019-09-05 10:35 |
Okayama |
|
[Short Paper]
Dynamic PET Image Reconstruction using Non-Negative Matrix Decomposition with Deep Image Prior Tomoshige Shimomura, Kazuya Kawai (NIT), Muneyuki Sakata (Tokyo Metro. Inst. Gerontology), Yuichi Kimura (KU), Tatsuya Yokota, Hidekata Hontani (NIT) PRMU2019-24 MI2019-43 |
We present a PET image reconstruction method that can reconstruct dynamic PET images with high SN ratio and can simultan... [more] |
PRMU2019-24 MI2019-43 pp.69-70 |