Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2024-03-04 10:46 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Automated musculoskeletal segmentation of torso CT images Sanaa Amina Gourine, Mazen Soufi, Yoshito Otake (NAIST), Yuto Masaki (NAIST-PSP Corporation), Yoko Murakami, Yukihiro Nagatani, Yoshiyuki Watanabe (Shiga Univ), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ), Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MI2023-70 |
Musculoskeletal segmentation (MSK) in CT is helpful for several applications, including body composition analysis, biome... [more] |
MI2023-70 pp.122-126 |
PRMU, IE, MI, SIP |
2016-05-19 14:00 |
Aichi |
|
Automated Recognition of the Anatomical Attachment Location for Constructing the Skeletal Muscle Model in the Scapular Region Tatsuya Katafuchi (Gifu Univ.), Naoki Kamiya (Aichi Pref. Univ.), Xiangrong Zhou (Gifu Univ.), Hiroki kato (Gifu Univ. Hosp.), Huayue Chen (Univ. of Occupational and Environmental Health), Asumi Kamiya (Higashi Nagoya Hosp.), Chisako Muramatsu, Takeshi Hara, Masayuki Matsuo, Hiroshi Fujita (Gifu Univ.) SIP2016-6 IE2016-6 PRMU2016-6 MI2016-6 |
The effectiveness of automated recognition method using the skeletal muscle model has been demonstrated, as one of the a... [more] |
SIP2016-6 IE2016-6 PRMU2016-6 MI2016-6 pp.27-30 |
MI |
2016-01-20 09:20 |
Okinawa |
Bunka Tenbusu Kan |
Preliminary study on automated recognition of iliopsoas muscle based on muscle direction model of psoas major and iliac muscle Naoki Kamiya (Aichi Pref. Univ.), Xiangrong Zhou, Chisako Muramatsu, Takeshi Hara, Hiroki Kato (Gifu Univ.), Huayue Chen (Univ. of Occupational and Environmental Health), Ryujiro Yokoyama (Gifu Univ.), Huiyan Jiang (Northeastern Univ.), Masayuki Matsuo, Hiroshi Fujita (Gifu Univ.) MI2015-111 |
We have proposed an automatic recognition method of skeletal muscle in CT images based on a shape model. We also propose... [more] |
MI2015-111 pp.183-186 |
PRMU, MI, IE, SIP |
2015-05-15 13:30 |
Mie |
|
Initial study of an automated recognition method of the supraspinatus muscle based on a muscle direction model in torso CT images Tatsuya Katafuchi (Gifu Univ.), Naoki Kamiya (Aichi Pref. Univ.), Masanori Kume (Gifu Univ.), Xiangrong Zhou, Huayue Chen (Grad. Sch. Gifu Univ.), Asumi Kamiya (Higashi Nagoya Hosp.), Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Grad. Sch. Gifu Univ.) SIP2015-22 IE2015-22 PRMU2015-22 MI2015-22 |
The supraspinatus muscle is a functionally important muscle in four muscle groups that constitute the cuff. In this rese... [more] |
SIP2015-22 IE2015-22 PRMU2015-22 MI2015-22 pp.117-120 |
MI |
2015-03-02 13:40 |
Okinawa |
Hotel Miyahira |
Development of an automated recognition method of the iliacus muscle based on a muscle fiber direction in torso CT images Naoki Kamiya, Yoshiki Ando (NITTC), Xiangrong Zhou, Huayue Chen, Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2014-65 |
We have proposed an automatic recognition method of skeletal muscle in CT images based on a shape model. We also propose... [more] |
MI2014-65 pp.63-66 |
MI |
2013-01-24 13:10 |
Okinawa |
Bunka Tenbusu Kan |
Investigation on the method of constructing a database of anatomical structures in torso region based on CT images Shotaro Yamaguchi, Xiangrong Zhou, Huayue Chen, Takeshi Hara (Gifu Univ.), Huiyan Jiang (Northeastern Univ.), Ryujiro Yokoyama, Masayuki Kanematsu (Gifu Univ. Hospital), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2012-78 |
A big database that covers the large variance of the anatomical structures of different organs is required by the develo... [more] |
MI2012-78 pp.83-88 |
MI |
2012-01-19 11:20 |
Okinawa |
|
Construction of the statistical shape models and its performance evaluation for the 3D torso organs using the MDL method Shotaro Yamaguchi, Xiangrong Zhou (Gifu Univ.), Rui Xu (Yamaguchi Univ.), Takeshi Hara (Gifu Univ.), Ryujiro Yokoyama, Masayuki Kanematsu (Gifu Univ. Hospital), Hiroaki Hoshi (Gifu Univ.), Shoji Kido (Yamaguchi Univ.), Hiroshi Fujita (Gifu Univ.) MI2011-94 |
The extraction of the object organ areas is needed by the development of the computer-aided diagnosis system to assist t... [more] |
MI2011-94 pp.93-96 |
PRMU, IE, MI |
2008-05-23 10:30 |
Aichi |
Aichi University of Technology |
Improvement of the automated method of recognizing psoas major muscles using the positional information of diaphragm surface in X-ray torso CT images Naoki Kamiya, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi (Gifu Univ.) IE2008-27 PRMU2008-13 MI2008-13 |
We had proposed an automated method of recognizing psoas major muscle in torso X-ray CT images using skeletal positional... [more] |
IE2008-27 PRMU2008-13 MI2008-13 pp.71-76 |
PRMU, IE, MI |
2008-05-23 11:00 |
Aichi |
Aichi University of Technology |
Automated recognition of the skeletal structure of lower limb in X-ray torso CT images based on the anatomical positional knowledge Mingxu Han, Tatsuro Hayashi, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi (GifuUniv.) IE2008-28 PRMU2008-14 MI2008-14 |
Abstract X-ray CT images have been widely used in clinical diagnosis in recent years. Due to the cost of CT image interp... [more] |
IE2008-28 PRMU2008-14 MI2008-14 pp.77-80 |
MI |
2007-01-27 11:10 |
Overseas |
the Cheju National Univ. |
An atlas-driven approach for automated recognition of liver structure in non-contrasted torso CT images Xiangrong Zhou, Teruhiko Kitagawa, Suguru Kawajiri, Xuejun Zhang, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Hiroshi Kondo, Masayuki Kanematsu, Hiroaki Hoshi (Gifu Univ.) |
In this paper, we propose an atlas-driven approach for fully-automated segmentation of liver region in non-contrast x-ra... [more] |
MI2006-178 pp.81-82 |
PRMU, MI |
2006-05-26 10:00 |
Aichi |
Aichi Prefectural University |
Development and performance evaluation of an automatic extraction of liver vessels in non-contrast X-ray CT images Suguru Kawajiri, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Hiroshi Kondo, Masayuki Kanematsu, Hiroaki Hoshi (Gifu Univ.) |
In this study, we propose the filter of enhancing vessels to extract liver vessels from 3-D X-ray non-contrast CT images... [more] |
PRMU2006-25 MI2006-25 pp.31-36 |
MI |
2006-01-28 13:00 |
Okinawa |
Miyakojimashi-Chuo-Kouminkan |
A preliminary study for recognizing the heart structure on contrast-enhanced CT images Suguru Kawajiri, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Takuji Kiryu, Hiroaki Hoshi (Gifu Univ.) |
It is important for diagnosing diseases by doctor and planning of surgery to
recognize lung vessels from human body an... [more] |
MI2005-135 pp.109-112 |
MI |
2005-11-07 15:50 |
Chiba |
NIRS |
Constructing a Statistical Model of Airway Directions Using Non-contrast Torso CT Images Tatsuro Hayashi, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Takuji Kiryu, Hiroaki Hoshi (Gifu Univ.) |
segments, etc. Therefore, it is effective to show the structures of lung lobes and pulmonary segments using computer-aid... [more] |
MI2005-60 pp.57-62 |
PRMU, MI |
2005-05-20 10:30 |
Aichi |
Nagoya Institute of Technology |
Probabilistic liver atlas construction based on diaphragm deforming and atlas-based liver segmentation from torso CT images Teruhiko Kitagawa, Kazumasa Okuo, Xiangrong Zhou, Ryujiro Yokoyama, Takeshi Hara, Hiroshi Fujita, Masayuki Kanematsu, Hiroaki Hoshi (Gifu Univ.) |
The normal anatomical structure recognition is very useful and necessary in computer-aided diagnosis system. This study ... [more] |
PRMU2005-16 MI2005-16 pp.13-18 |
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