Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, BioX |
2016-03-25 09:45 |
Tokyo |
|
A preliminary study on interactive segmentation of pancreases from abdominal CT by use of Graph Cut with Homography transformed probabilistic atlases Takenobu Suzuki, Hotaka Takizawa, Hiroyuki Kudou, Toshiyuki Okada (Univ. Tsukuba) BioX2015-58 PRMU2015-181 |
This paper proposes a method of interactive segmentation of pancreases from abdominal CT images based on the anatomical ... [more] |
BioX2015-58 PRMU2015-181 pp.93-97 |
MI |
2016-01-20 09:56 |
Okinawa |
Bunka Tenbusu Kan |
Automated liver segmentation from 3D MRI without parameter tuning for imaging condition Yuto Masaki, Shunta Hirayama, Futoshi Yokota, Yoshito Otake (NAIST), Masatoshi Hori (Osaka Univ.), Toshiyuki Okada (Tsukuba Univ.), Noriyuki Tomiyama (Osaka Univ.), Yoshinobu Sato (NAIST) MI2015-114 |
The automated segmentation of liver from MRI is useful for computer-aided diagnosis system to liver fibrosis.
Several p... [more] |
MI2015-114 pp.199-204 |
MI |
2015-07-14 14:30 |
Hokkaido |
Sun Refle Hakodate |
Liver Segmentation Using Iterative Probabilistic Atlas and Template Matching Technique Yingbo LI, Chunhua Dong, Tomoko Tateyama, Yen-Wei Chen (Ritsumeikan Univ) MI2015-34 |
Accurate segmentation of abdominal organs is an important step for understanding the human body anatomical structure in ... [more] |
MI2015-34 pp.13-17 |
MI |
2015-03-02 16:36 |
Okinawa |
Hotel Miyahira |
Eliminations of dura maters from MR Images using probablistic atlas and graph cut technique Shin-ya Uto, Hidekata Hontani (NIT), Muneyuki Sakata (TMIG), Yuichi Kimura (Kinki Univ) MI2014-86 |
This study aims at proposing algorithm that liminate the dura maters in brain MR images accurately. Ordinary methods oft... [more] |
MI2014-86 pp.151-155 |
PRMU, IPSJ-CVIM, MVE [detail] |
2015-01-23 14:25 |
Nara |
|
Basic study on interactive segmentation of pancreases from abdominal CT images by use of the Graph cut technique with probabilistic atlases Takenobu Suzuki, Hotaka Takizawa, Hiroyuki Kudo, Toshiyuki Okada (Tsukuba Univ.) PRMU2014-106 MVE2014-68 |
This paper proposes a method of interactive segmentation of pancreases in abdominal CT images based on the anatomical kn... [more] |
PRMU2014-106 MVE2014-68 pp.239-244 |
MI |
2014-01-26 16:20 |
Okinawa |
Bunka Tenbusu Kan |
Selection of Landmarks Appropriate for Body Shape Normalization in Organ Registration Yoshihiro Tsutsumi, Hidekata Hontani (Nagoya Inst. of Tech.) MI2013-86 |
In this paper, the authors propose a method for selecting appropriate anatomical landmarks used for normalizing body sh... [more] |
MI2013-86 pp.165-168 |
MI |
2013-11-07 15:50 |
Hiroshima |
|
Improvement of pancreas segmentation algorithm from multi-phase CT volumes Hidefumi Watanabe, Akinobu Shimizu (Tokyo Univ. of Agriculture and Tech.), Shigeru Nawano (International Univ. of Health and Welfare) MI2013-54 |
This paper proposes a method for improving a conditional probabilistic atlas(PA) with a condition of rough segmentation ... [more] |
MI2013-54 pp.45-50 |
MI |
2013-07-19 14:30 |
Miyagi |
|
Construction and evaluation of probabilistic atlases of multiple organs by using case similarity Atsuto Watanabe, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Ryujiro Yokoyama (Gifu Univ.), Masayuki Kanematsu (Gifu Univ. Hosp.), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2013-35 |
Automatic segmentation of organs from CT images is one of very important issues in developing computer-aided diagnosis s... [more] |
MI2013-35 pp.77-81 |
MI |
2013-01-24 16:35 |
Okinawa |
Bunka Tenbusu Kan |
A Study on Multiple Organ Segmentation from 3D CT Images Based on Normalization Method and Patient-Specific Probabilistic Map Chengwen Chu, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (AIT), Kazunari Misawa (ACC), Michitaka Fujiwara, Yuichiro Hayashi, Kensaku Mori (Nagoya Univ.) MI2012-89 |
Organ segmentation from 3D abdominal CT database is a difficult process due to the large differences among patients in o... [more] |
MI2012-89 pp.139-144 |
MI |
2012-01-19 16:30 |
Okinawa |
|
Abdominal multi-organ segmentation of 3D CT images based on hierarchical statistical modeling of spatial interrelations among organs
-- Performance evaluation based on exhaustive analysis of spatial interrelations -- Toshiyuki Okada (Osaka Univ.), Marius George Linguraru (Children's National Medical Center), Masatoshi Hori, Yuki Suzuki (Osaka Univ.), Ronald M. Summers (National Institutes of Health), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2011-113 |
The automated segmentation of multiple organs in CT data of the upper abdomen is addressed. In order to explicitly incor... [more] |
MI2011-113 pp.197-201 |
MI |
2011-01-20 15:15 |
Okinawa |
Naha-Bunka-Tembusu |
Automated Localization of Pelvic Anatomical Coordinate System from 3D CT Data of the Hip Using Statistical Landmark Model Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2010-119 |
Localization of the pelvic anatomical coordinate system from 3D CT data is prerequisite of patientspecific planning and ... [more] |
MI2010-119 pp.199-204 |
MI |
2010-09-03 16:50 |
Saitama |
|
Construction of statistical atlas in root of hepatic vascular and apply for automatic vessel identification Motoi Kinishi (Ritsumeikan Univ.), Toshiyuki Okada, Masatoshi Hori (Osaka Univ.), Yen-Wei Chen (Ritsumeikan Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2010-64 |
It is important to classify vessels extracted in range of liver into the portal vein, hepatic vein or hepatic artery. So... [more] |
MI2010-64 pp.75-80 |
MI |
2010-07-09 17:00 |
Tokushima |
Tokusima Univ. Kogyo-Kaikan Bldg. |
Validating Segmentation of Diseased Hip CT Images Using Hierarchical Statistical Shape Model Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2010-48 |
Segmentation of the femur and pelvis from 3D CT data is prerequisite of patient specific planning and simulation for hip... [more] |
MI2010-48 pp.63-68 |
MI |
2009-01-20 14:30 |
Overseas |
National Taiwan University |
[Poster Presentation]
Automatic measurement method for mean CT value of hepatic parenchyma on X-ray CT images Teruhiko Kitagawa (Gifu National College of Tech.), Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Hiroshi Kondo, Masayuki Kanematsu, Hiroaki Hoshi (Gifu Univ.) MI2008-140 |
In clinical situations, a mean CT value in liver parenchyma region is significant information to diagnose hepatic diseas... [more] |
MI2008-140 pp.367-370 |
MI |
2009-01-20 14:30 |
Overseas |
National Taiwan University |
[Poster Presentation]
Automated segmentation and analysis of mammary gland regions in CT images using probabilistic atlas Mingxu Han, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Keiko Sugisaki, Huayue Chen, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi (GifuUniv.) MI2008-154 |
The identification of mammary gland regions can provide useful information for breast tumor diagnosis. This study propos... [more] |
MI2008-154 pp.435-438 |
MI |
2008-07-17 11:10 |
Hokkaido |
Sapporo Medical University |
[Tutorial Lecture]
The Use of Anatomical Knowledge in Organ Segmentation of Medical Images Akinobu Shimizu (Tokyo Univ. of Agriculture and Technology) MI2008-30 |
This lecture presents several algorithms to use anatomical knowledge in organ segmentation of medical images. First I fo... [more] |
MI2008-30 pp.57-58 |
PRMU, IE, MI |
2008-05-23 11:30 |
Aichi |
Aichi University of Technology |
Liver Segmentation Method for 3D Non-contrast Abdominal CT Image based on the Region Growing and the Probabilistic Atlas Koji Satake, Yoshio Yamaji, Satoshi Yamaguchi, Hiromi T. Tanaka (Ritsumeikan Univ.) IE2008-29 PRMU2008-15 MI2008-15 |
In this research we describe a liver segmentation method for 3D Non-contrast abdominal CT image. In the liver region, in... [more] |
IE2008-29 PRMU2008-15 MI2008-15 pp.81-86 |
MI |
2008-01-25 13:00 |
Okinawa |
Naha-Bunka-Tenbusu |
Two-step Segmentation for Pancreas Extraction from Three Dimensional CT images Tatsuya Kimoto, Daisuke Furukawa, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Shigeru Nawano (International University of Health and Welfare), Kenji Shinozaki (NKCC) MI2007-87 |
We have developed the segmentation method for multiple organs including pancreas from three dimensional abdominal CT ima... [more] |
MI2007-87 pp.115-122 |
MI |
2008-01-25 13:00 |
Okinawa |
Naha-Bunka-Tenbusu |
Liver Segmentation in 3D Abdominal CT Images Based on Maximum a Posterior Probability Method and Ensemble Learning Shinya Tanaka, Akinobu Shimizu, Daisuke Furukawa, Hidefumi Kobatake (TUAT), Shigeru Nawano (Center for Radiological Sciences, IUHW), Kenji Shinozaki (NKCC) MI2007-88 |
This paper describes improvements of the liver region segmentation algorithm using three phase abdominal 3D CT images , ... [more] |
MI2007-88 pp.123-130 |
PRMU, MI |
2007-05-24 10:00 |
Mie |
Mie Univ. |
Development of Medical Image Registration Method based on Anatomical Information Chuya Fukuda, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Noboru Oriuchi, Keigo Endo (GU) PRMU2007-4 MI2007-4 |
Most of the medical image registration methods between the images taken by different modalities are based on Mutual Info... [more] |
PRMU2007-4 MI2007-4 pp.17-22 |