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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 28件中 1~20件目  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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 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 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 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
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 2013-01-25
10:50
Okinawa Bunka Tenbusu Kan Automated recognition of the rectus abdominis muscle in CT images based on a virtual image-unfolding technique by the removal of the subcutaneous fat region
Naoki Kamiya (Toyota Nat'l Col. Tech.), Chisako Muramatsu, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2012-99
We had proposed an automated method for recognizing skeletal muscle in torso X-ray CT images using skeletal positional i... [more] MI2012-99
pp.197-200
MI 2012-01-20
11:25
Okinawa   Probabilistic atlas construction and performance evaluation of multiple organs in X-ray torso CT Images
Junna Sawada, Tatsuro Hayashi, Xiangrong Zhou, Huayue Chen, Takeshi Hara (Gifu Univ.), Jiang Huiyan (NEU), Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2011-129
 [more] MI2011-129
pp.287-291
MI 2012-01-20
11:25
Okinawa   Automatic organs segmentation from non-contrast CT images by using content-based image retrieval
Atsuto Watanabe, Xiangrong Zhou, Huayue Chen, Takeshi Hara (Gifu Univ.), Ryujiro Yokoyama, Masayuki Kanematsu (Gifu Univ. Hosp), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2011-150
Currently, it is required for automatic extraction of organs from CT. The automatic extraction of organs may require pri... [more] MI2011-150
pp.407-410
MI 2009-09-16
15:30
Fukuoka Kyushu Institute of Technology Library Development of an abdominal skeletal muscle model and its automated recognition in X-ray CT images
Naoki Kamiya, Xiangrong Zhou, Huayue Chen, Tatsuro Hayashi, Takeshi Hara (Gifu Univ.), Ryujiro Yokoyama, Masayuki Kanematsu (Gifu Univ. Hosp.), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2009-61
 [more] MI2009-61
pp.31-34
MI 2009-07-15
11:20
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 Development of a method for quantifying the spinal curvature in X-ray CT images and its evaluation
Tatsuro Hayashi, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2009-45
Spinal curvature contributes to maintaining spinal balance, and maintaining normal spinal curvature is important. This s... [more] MI2009-45
pp.29-32
PRMU, IE, MI 2009-05-28
16:45
Gifu Gifu Univ. Preliminary study of automated segmentation of kidney in non-contrast CT images base on position, orientation and shape features analysis.
Shunichi Yoshimoto, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroshi Fujita (Gifu Univ), Ryujiro Yokoyama, Masayuki Kanematsu (Gifu Univ Hospital), Hiroaki Hoshi (Gifu Univ) IE2009-29 PRMU2009-20 MI2009-20
The modern CT scanners have been widely used in Japan. The cases of the CT scans covering the human torso (chest and abd... [more] IE2009-29 PRMU2009-20 MI2009-20
pp.107-110
MI 2009-01-19
13:30
Overseas National Taiwan University [Poster Presentation] A semi-automatic approach for evaluating thoracic kyphosis and lumbar lordosis on X-ray CT images
Tatsuro Hayashi, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi (Gifu Univ.) MI2008-80
A spinal curvature contributes to maintaining spinal balance, and maintaining normal spinal curvature is important for t... [more] MI2008-80
pp.97-100
MI 2009-01-19
13:30
Overseas National Taiwan University [Poster Presentation] Automated estimation of the position of prostate using a shape model in CT images
Itoshi Naramura, Tatsuro Hayashi, Xiangrong Zhou, Takeshi Hara, Huayue Chen, Hiroshi Fujita (Gifu Univ.), Ryujiro Yokoyama, Masayuki Kanematsu (Gifu Univ. Hospital), Hiroaki Hoshi (Gifu Univ.) MI2008-99
Recently, the morbidity rate of the prostate cancer is on the increase. Moreover, the chance to take picture of the huma... [more] MI2008-99
pp.187-190
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 2008-07-16
15:45
Hokkaido Sapporo Medical University Analysis on the distribution of bone mineral density at vertebral trabecular bones using X-ray CT images
Tatsuro Hayashi, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi (Gifu Univ.) MI2008-26
The number of osteoporosis patient is increasing every year in Japan. Recent years, multi-detector-row CT is widely used... [more] MI2008-26
pp.35-40
MI 2008-07-17
14:40
Hokkaido Sapporo Medical University Constructing a shape model of diaphragm based on a 3-D open surface mapping
Xiangrong Zhou (Gifu Univ.), Song Wang, Pahal Dalal, Mike McLaughlin (USC), Huayue Chen, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi (Gifu Univ.) MI2008-34
The purpose of this study is to generate a shape model to analyze the shape of the human diaphragm. The purposed method ... [more] MI2008-34
pp.73-78
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