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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 27  /  [Next]  
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
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