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Technical Committee on Medical Imaging (MI)  (Searched in: 2013)

Search Results: Keywords 'from:2014-01-26 to:2014-01-26'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 20 of 70  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2014-01-26
10:00
Okinawa Bunka Tenbusu Kan Construction of a probabilistic atlas based on sparse modeling and its application to segmentation
Shun Umetsu, Akinobu Shimizu, Hidefumi Watanabe (Tokyo Univ. of Agriculture and Tech.), Shigeru Nawano (IUHW) MI2013-56
(To be available after the conference date) [more] MI2013-56
pp.1-6
MI 2014-01-26
10:15
Okinawa Bunka Tenbusu Kan Improvement of choroid segmentation from a macular optical coherence tomography volume based on graph cuts
Kazuki Inagaki, Akinobu Shimizu (Tokyo Univ. of Agriculture and Tech.), Yoshiaki Yasuno (Univ. of Tsukuba), Yasushi Ikuno (Osaka Univ.) MI2013-57
(To be available after the conference date) [more] MI2013-57
pp.7-12
MI 2014-01-26
10:30
Okinawa Bunka Tenbusu Kan Exact solution method for MRF model-based image segmentation based on continuous optimization -- Application to abdominal CT image and performance evaluation --
Takahiro Tayama, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba) MI2013-58
The medical image segmentation helps physicians to find diseased internal organs to perform the computer aided diagnosis... [more] MI2013-58
pp.13-18
MI 2014-01-26
10:45
Okinawa Bunka Tenbusu Kan Automated anatomical labeling of abdominal arteries and hepatic portal system by analyzing branching pattern
Tetsuro Matsuzaki, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. Tech.), Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ.) MI2013-59
Since abdominal blood vessels have complicated branching structures, understanding them is important to perform abdomina... [more] MI2013-59
pp.19-24
MI 2014-01-26
11:10
Okinawa Bunka Tenbusu Kan [Fellow Memorial Lecture] Medical image recognition and Image Processing Expert System
Junichi Hasegawa (Chukyo Univ.) MI2013-60
In this lecture, several researches on image recognition ant its applications to medical and sports fields, performed by... [more] MI2013-60
pp.25-30
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Automatic segmentation of multiple organ regions from 3D CT images using GrabCut and organ detection
Takaaki Ito, Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Huiyan Jiang (Northeastern Univ.), Ryujiro Yokoyama, Huayue Chen (Gifu Univ.), Masayuki Kanematsu (Gifu Univ Hospital), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2013-61
Automatic segmentation of organs from CT images is one of very important issues in developing. GraphCut is useful for th... [more] MI2013-61
pp.31-36
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Multi-organ localizations on a large number of CT images by using machine learning and its performance evaluations
Shoichi Morita, Xiangrong Zhou, Huayue Chen, Takeshi Hara (Gifu Univ.), Huiyan Jiang (NEU), Ryujiro Yokoyama (Gifu Univ.), Masayuki Kanematsu (Gifu Univ. Hospital), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2013-62
In this study, we propose an approach to accomplish general localization of the different inner organ regions on 3D CT s... [more] MI2013-62
pp.37-41
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Optimal design of an energy function for multi-label graph cuts based segmentation
Shun Umetsu, Akinobu Shimizu, Hidefumi Watanabe (Tokyo Univ. of Agriculture and Tech.), Shigeru Nawano (IUHW) MI2013-63
(To be available after the conference date) [more] MI2013-63
pp.43-46
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Newborn brain growth model using manifold learning
Ryosuke Nakano (Univ. of Hyogo), Syoji Kobashi, Kei Kuramoto (Univ. of Hyogo/WPI-IFReC), 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.) MI2013-64
To develop a computer-aided diagnosis system for neonatal cerebral disorders, some literatures have shown atlas-based me... [more] MI2013-64
pp.47-52
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 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Improvement of pancreas segmentation algorithm from multi-phase CT volumes with manual input landmarks and sparse representation
Hidefumi Watanabe, Akinobu Shimizu (Tokyo Univ. of Agriculture and Tech.), Shigeru Nawano (IUHW) MI2013-66
(To be available after the conference date) [more] MI2013-66
pp.59-64
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Segmentation of organ regions by deformation of ante-mortem CT images to post-mortem CT images
Ryota Akiyama, Kyohei Mikami, Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Kunihiro Inai, Sakon Noriki (Univ. of Fukui) MI2013-67
Autopsy imaging (Ai) plays a key role to reduce the imposition of doctors
and to improve the reliability of cause of de... [more]
MI2013-67
pp.65-68
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Model-based approach to recognize the middle and inferior fibers of the trapezius muscle in torso CT images
Haruka Kobayashi, Naoki Kamiya (Toyota Nat'l Col. Tech.), Asumi Kamiya (Higashi Nagoya National Hospital), Xiangrong Zhou, Huayue Chen, Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2013-68
We have proposed an automatic recognition method of skeletal muscle in torso CT images based on a shape model and positi... [more] MI2013-68
pp.69-72
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan A method to generate lung shapes after lung lobectomy by using FEM for preoperative chest CT images
Hideki Sorao, Yasushi Hirano, Shoji Kido (Yamaguchi Univ.) MI2013-69
In treatment for pulmonary tuberculosis or lung cancer, lung lobectomy is typically performed. It is expected that lung ... [more] MI2013-69
pp.73-76
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan A study on extraction accuracy improvement of texture similarity-based hepatic hemangioma extraction
Takahiro Uehara, Toshiya Nakaguchi (Chiba Univ) MI2013-70
In this paper, we conduct an accuracy evaluation of the hepatic hemangioma extraction from CT images. In the previous me... [more] MI2013-70
pp.77-82
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Abdomial blood vessel extraction algorithm using contrast-enhanced CT image
Yusuke Yamauchi, Yohei Kawano, Ahmed Shawky Mohamed Maklad, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Toru Utsunomiya, Mitsuo Shimada (Univ. of Tokushima) MI2013-71
It is extremely important to diagnose presence, the level, and the state of the metastasis in lymph nodes in diagnosing ... [more] MI2013-71
pp.83-84
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan An Improvement of Automated Lymph Node Detection Method from 3D Abdominal X-ray CT Images using Feature Selection Method
Yoshihiko Nakamura (Nagoya Univ.), Takayuki Kitasaka, Shinji Mizuno (Aichi Inst. of Tech.), Kazuhiro Furukawa, Hidemi Goto, Michitaka Fujiwara (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Masaaki Ito (National Cancer Center Hospital East), Shigeru Nawano (IUHW Mita Hospital), Kensaku Mori (Nagoya Univ.) MI2013-72
We have been developing automatical abdominal lymph node detection methods to aid pre-operating diagnosis for surgery of... [more] MI2013-72
pp.85-90
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Computerized Quantification Method for Architectural Distortion on Breast Ultrasonographic Image and Its Application to the Histological Classification for Breast mass
Akiyoshi Hizukuri, Ryohei Nakayama, Yumi Kashikura, Haruhiko Takase, Hiroharu Kawanaka, Tomoko Ogawa, Shinji Tsuruoka (Mie Univ.) MI2013-73
An architectural distortion is one of the important indications related to breast cancer on ultrasonographic images. It ... [more] MI2013-73
pp.91-95
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Analysis and construction of normal model on torso FDG-PET scans based on lean body mass
Yusuke Shimizu, Takeshi Hara, Daisuke Fukuoka, Xiangrong Zhou, Chisako Muramatsu (Gifu Univ.), Satoshi Itoh (Daiyukai General Hospital), Kenta Hakozaki, Shinichiro Kumita, Keiichi Ishihara (Nippon Medical School), Tetsuro Katafuchi (GUMS.), Hiroshi Fujita (Gifu Univ.) MI2013-74
We have constructed Standardized Uptake Value (SUV) models from the normal FDG-PET scans. The purpose of this study was ... [more] MI2013-74
pp.97-101
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan A method to extract fat drops from liver biopsy image using machine learning algorithm
Masahiro Ishikawa, Naoki Kobayashi, Hideki Komagata (Saitama Medical Univ.), Masahiro Yamaguchi (Tokyo Inst. of Tech.), Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto (Keio Univ.) MI2013-75
In the diagnosis of hepatocellular carcinoma (HCC) in HE-stained liver pathological specimens, morphological features in... [more] MI2013-75
pp.103-108
 Results 1 - 20 of 70  /  [Next]  
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