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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2023-03-06 14:07 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Application of statistical shape modeling of whole lower limbs in the prediction of musculoskeletal shapes Yuto Masaki, Yoshito Otake, Mazen Soufi, Yi Gu (NAIST), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ.), Takuma Miyamoto, Yasuhito Tanaka (Nara Medical Univ), Seiji Okada, Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST)  MI2022-84 |
Musculoskeletal modeling of the whole lower limbs that reflects patient-specific anatomical features is important in bio... [more] | MI2022-84 pp.57-62 |
| MI | 2022-07-09 15:40 |
Hokkaido | (Primary: On-site, Secondary: Online) |
CT Volume Registration on X Ray Image Using 3D Reconstruction Network Pragyan Shrestha, Chun Xie, Hidehiko Shishido (Univ. of Tsukuba), Yuichi Yoshii (Tokyo Medical Univ.), Itaru Kitahara (Univ. of Tsukuba) MI2022-48 |
In this research, we propose a novel method for registering X-ray images to CT volumes by reconstructing 3D point clouds... [more] | MI2022-48 pp.61-65 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 17:00 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
Deformable registration of 3D medical images with Deep Residual UNet Taiga Nakamura, Yuki Sato, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba) SIP2022-30 BioX2022-30 IE2022-30 MI2022-30 |
(To be available after the conference date) [more] | SIP2022-30 BioX2022-30 IE2022-30 MI2022-30 pp.156-160 |
| MI | 2022-01-26 13:39 |
Online | Online | Deep Learning based 2D/3D deformable Image Registration for Abdominal Organs Ryuto Miura, Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda (Kyoto Univ.) MI2021-62 |
2D/3D image registration is a problem that solves the deformation and alignment of a pre-treatment 3D image to a 2D proj... [more] | MI2021-62 pp.70-75 |
| MI | 2022-01-26 14:05 |
Online | Online | [Short Paper]
Joint Learning for Multi-Phase CT Image Registration and Automatic Recognition of Anatomical Structures Based on a Deep Neural Network Ryotaro Fuwa, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-64 |
Computer-aided diagnosis (CAD) systems require image registration and automatic recognition of anatomical structures on ... [more] | MI2021-64 pp.82-85 |
| MI | 2021-03-15 11:45 |
Online | Online | MI2020-50 |
(To be available after the conference date) [more] | MI2020-50 pp.15-20 |
| MI | 2021-03-17 10:45 |
Online | Online | [Short Paper]
Preliminary study for improving the performance of abdominal multi-phase CT image registration based on 3D deep CNN with a CycleGAN Ryotaro Fuwa, Xiangong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2020-90 |
Deep learning is expected to be an approach to solve the problem of accurate medical image alignment. Recently, VoxelMor... [more] | MI2020-90 pp.182-185 |
| PRMU, MVE, IPSJ-CVIM [detail] | 2018-01-18 17:15 |
Osaka | Markerless Dynamic Projection Mapping using High-speed 6-DoF Tracking Satoshi Tabata, Hikaru Amano, Yoshihiro Watanabe, Masatoshi Ishikawa (Univ. of Tokyo) PRMU2017-130 MVE2017-51 |
In recent years, various dynamic projection mapping have been achieved. However, in order to acquire the absolute posi... [more] |
PRMU2017-130 MVE2017-51 pp.147-152 |
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| MI, MICT | 2017-11-06 10:00 |
Kagawa | Sunport Hall Takamatsu | Automated Initialization of 2D-3D Registration of Rib Cage from Chest Radiography using Convolutional Neural Network Mototaka Kabashima, Yuta Hiasa, Yoshito Otake (NAIST), Rie Tanaka, Shigeru Sanada (Kanazawa Univ.), Yoshinobu Sato (NAIST) MICT2017-27 MI2017-49 |
The difficulties in automation of 2D-3D registration are two-folds: initialization and failure detection. In this paper,... [more] | MICT2017-27 MI2017-49 pp.5-8 |
| MBE, NC (Joint) |
2017-05-26 15:45 |
Toyama | Toyama Prefectural Univ. | A 2D/3D registration method developed for superposing an MRI-reconstructed bone model on a set of bi-directional CR images Takuya Kaneta, Toyohiko Hayashi (Niigata Univ.), Satoshi Watanabe (Niigata Medical Center), Yoshio Koga (Ninohji hot), Go Omori (Niigata Univ. of Health and Welfare) MBE2017-8 |
The lower extremity alignment of the lower extremity in the standing position has been evaluated by computed radiography... [more] | MBE2017-8 pp.39-44 |
| MI | 2017-01-18 14:15 |
Okinawa | Tenbusu Naha | Basic study for pose estimation of patella from single-plane X-ray image using intensity-based 2D/3D registration Yuichi Hayashi, Takaharu Yamazaki (SIT), Tetsuya Tomita (Osaka Univ), Kenichi Kono (Tokyo Univ), Yoshinobu Sato (NAIST), Kazuomi Sugamoto (Osaka Univ) MI2016-90 |
This study presents a method to determine 3D kinematics of patella using single-plane fluoroscopy. 3D pose of patella is... [more] | MI2016-90 pp.71-76 |
| MI | 2016-01-20 13:05 |
Okinawa | Bunka Tenbusu Kan | Evaluation of Image Quality and Registration Accuracy of 3D Ultrasound Portal Vein Images for Long Monitoring Iori Terada, Toshiki Teratoko, Tomohiro Ueno, Koich Ishizu, Yasutomo Fujii, Tsuyoshi Shiina, Naozo Sugimoto (Kyoto Univ) MI2015-123 |
Continuous 3D Ultrasound monitoring may capture important physiological changes as well as Holter electrocardiography. A... [more] | MI2015-123 pp.241-246 |
| MI | 2016-01-20 14:50 |
Okinawa | Bunka Tenbusu Kan | 2D-3D registration for measurement of pelvic flexion angle on a large-scale cohort database Koki Koyama, Yoshito Otake (NAIST), Keisuke Uemura (Osaka Univ.), Yuta Hiasa, Futoshi Yokota (NAIST), Masaki Takao, Takeshi Ogawa, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2015-140 |
In surgical planning of total hip arthroplasty(THA), changes in the pelvic flexion angle from supine to standing positio... [more] | MI2015-140 pp.331-336 |
| MI | 2015-11-11 16:25 |
Nara | NAIST | Measurement of rib cage motion from X-ray video using constrained intensity-based 2D-3D registration Yuta Hiasa, Yoshito Otake (NAIST), Rie Tanaka, Shigeru Sanada (Kanazawa Univ.), Yoshinobu Sato (NAIST) MI2015-69 |
By measurement of the rib cage motion, further improvement of the diagnosis of pulmonary function is expected. For examp... [more] | MI2015-69 pp.61-65 |
| MI | 2014-01-26 13:30 |
Okinawa | Bunka Tenbusu Kan | 3-D Cerebral Sulci Registration of Neonatal Brain MRI Using Sulcal-Distribution Index Kento Morita (Univ. of Hyogo), Syoji Kobashi, Kei Kuramoto (Univ. of Hyogo/Osaka Univ.), Yuki Wakata, Kumiko Ando, Reiichi Ishikura (Hyogo College of Medicine), Tomomoto Ishikawa (Ishikawa Hospital), Shozo Hirota (Hyogo College of Medicine), Yutaka Hata (Univ. of Hyogo/Osaka Univ.) MI2013-65 |
MR image registration (IR) has been used in brain function analysis, voxel-based-morphometry, etc. The conventional IR m... [more] | MI2013-65 pp.53-58 |
| MI | 2013-11-07 10:00 |
Hiroshima | Development of automated estimation of four-dimensional dose distributions based on a 2D/3D registration during a high precision radiotherapy Takahiro Nakamoto, Hidetaka Arimura, Katsumasa Nakamura (Kyushu Univ.), Yoshiyuki Shioyama (Saga HIMAT), Asumi Mizoguchi (Kurume Univ. Hospital), Taka-aki Hirose (Kyushu Univ. Hospital), Hiroshi Honda (Kyushu Univ.), Yoshiyuki Umedu, Yasuhiko Nakamura (Kyushu Univ. Hospital), Hideki Hirata (Kyushu Univ.) MI2013-46 |
The purpose of this study was to develop an estimation method of four-dimensional (4D) dose distributions during radioth... [more] | MI2013-46 pp.5-10 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-03 16:15 |
Tottori | 3D human body model generation from multiple pose deformed depth images Naoshi Kaneko, Tomohiko Saito, Kazuhiko Sumi (Aoyama Gakuin Univ.) PRMU2013-55 IBISML2013-35 |
We propose non-rigid registration algorithm for multiple human body depth images using Microsoft Kinect as a input devic... [more] | PRMU2013-55 IBISML2013-35 pp.225-231 |
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| MBE | 2013-05-24 13:55 |
Toyama | A semi-automatic contour extraction of the bones of the shoulder joint from Fluoroscopic X-ray image Hiroki Shima, Toyohiko Hayashi (Niigata Univ.), Hiroshi Tanaka, Hiroki Ninomiya, Hiroaki Inui, Masahiko Komai, Katsuya Nobuhara (Nobuhara Hospital) MBE2013-7 |
In order to analyze the motion of the shoulder, a method for measuring the position and orientation of the bone in three... [more] | MBE2013-7 pp.31-35 |
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| MI | 2013-01-24 10:50 |
Okinawa | Bunka Tenbusu Kan | Robust 3D kinematic analysis of artificial knee implants with statistical motion model Ryogo Kamei (Ritsumei Univ.), Takaharu Yamazaki, Toshiyuki Okada, Noriyuki Fukuda, Kazuomi Sugamoto, Hideki Yoshikawa (Osaka Univ.), Yen-Wei Chen (Ritsumei Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2012-65 |
For 3D kinematic analysis of artificial knee implants, 2D/3D registration technique which uses X-ray fluoroscopic images... [more] | MI2012-65 pp.19-24 |
| MI | 2012-10-29 14:30 |
Yamaguchi | Yamaguchi Univ. | Utilization of knee motion model for automated knee implant kinematic analysis based on 2D/3D registration Ryogo Kamei (Ritsumei Univ.), Takaharu Yamazaki, Toshiyuki Okada, Noriyuki Fukuda, Kazuomi Sugamoto, Hideki Yoshikawa (Osaka Univ.), Yen-Wei Chen (Ritsumei Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2012-57 |
To achieve 3D kinematic analysis of artificial knee implants, 2D/3D registration technique, which uses X-ray fluoroscopi... [more] | MI2012-57 pp.49-54 |
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