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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 29  /  [Next]  
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
MI 2022-09-15
10:30
Kanagawa
(Primary: On-site, Secondary: Online)
Evaluation of Patient-specific musculoskeletal simulation using MRI images in multiple pose
Junya Ino, Yoshito Otake, Mazen Soufi (NAIST), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2022-51
We aim at developing a patient-specific musculoskeletal simulation approach for predicting musculoskeletal behavior of m... [more] MI2022-51
pp.10-15
MI 2022-01-27
09:56
Online Online Segmentation of musculoskeletal structures in supine and upright CTs towards quantitative analysis of musculoskeletal deformation in standing position
Tomoki Hakotani, Yoshito Otake, Mazen Soufi (NAIST), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama (Keio Univ.), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Masahiro Jinzaki (Keio Univ.), Yoshinobu Sato (NAIST) MI2021-70
Musculoskeletal models that are faithful to medical images are important for clarifying the causes of movement disorders... [more] MI2021-70
pp.106-110
MI 2022-01-27
10:22
Online Online Patient-specific musculoskeletal simulation using an elastic volume simulator VIPER and medical image-based modeling
Junya Ino, Yoshito Otake, Mazen Soufi (NAIST), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2021-72
We aim at developing a patient-specific musculoskeletal simulation approach for predicting musculoskeletal behavior of m... [more] MI2021-72
pp.117-120
MI 2021-05-17
15:10
Online Online [Short Paper] Fundamental study of automatic segmentation of skeletal muscle regions on whole body CT images based on a 3D DeepCNN
Kota Nozaki, Xiangong Zhou (Gifu Univ.), Naoki Kamiya (Aichi Prefectual Univ.), Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-7
Amyotrophic lateral sclerosis (ALS) is an intractable disease in which voluntary muscles atrophy gradully due to degener... [more] MI2021-7
pp.20-22
MI, MICT 2017-11-06
09:40
Kagawa Sunport Hall Takamatsu [Short Paper] Automatic segmentation of hip and thigh muscles from CT Images using convolutional neural networks
Yuta Hiasa, Yoshito Otake, Futoshi Yokota (NAIST), Masaki Takao, Takeshi Ogawa, Nobuhiko Sugano (Osaka Univ.), Sato Yoshinobu (NAIST) MICT2017-26 MI2017-48
(To be available after the conference date) [more] MICT2017-26 MI2017-48
pp.3-4
MI 2017-01-18
14:15
Okinawa Tenbusu Naha Analysis of fiber structure of skeletal muscles around the hip joint using CT images
Kohei Miyamoto, Yoshito Otake, Futoshi Yokota, Yuta Hiasa (NAIST), Min Suk Chung (Ajou Univ.), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2016-105
Analysis of muscle dynamics by biomechanical simulation is helpful in diagnosis and treatment planning in orthopedics. M... [more] MI2016-105
pp.127-131
MBE, NC
(Joint)
2016-12-07
13:30
Aichi Toyohashi University of Technology Estimation of axioscapular muscle forces during the elevation of the upper arm in the scapular plane
Yoshiaki Mitsuma, Toyohiko Hayashi, Shigehito Tanahashi (Niigata Univ.), Hiroshi Tanaka, Hiroki Ninomiya, Hiroaki Inui, Masahiko Komai, Katsuya Nobuhara (Nobuhara Hospital) MBE2016-61
The shoulder motion has a high degree-of-freedom as well as a wide range of motion, which is accomplished by a complex j... [more] MBE2016-61
pp.25-30
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
MBE, NC
(Joint)
2016-03-22
10:30
Tokyo Tamagawa University Estimation of axioscapular muscle forces using a musculoskeletal model of the shoulder
Yoshiaki Mitsuma, Toyohiko Hayashi, Shigehito Tanahashi (Niigata Univ.), Hiroshi Tanaka, Hiroki Ninomiya, Hiroaki Inui, Masahiko Komai, Katsuya Nobuhara (Nobuhara Hospital) MBE2015-105
A wide range and a high degree-of-freedom of the shoulder motion is accomplished by a complex joint structure consisting... [more] MBE2015-105
pp.13-16
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
MI 2016-01-20
13:05
Okinawa Bunka Tenbusu Kan Application to whole CT images of automated recognition method of sternocleidomastoid muscle using atlas-based method
Kosuke Ieda (Gifu Univ.), Naoki Kamiya (Aichi Pref. Univ.), Xiangrong Zhou, Megumi Yamada, Hiroki Kato, Chisako Muramatsu, Takeshi Hara, Toshiharu Miyoshi, Takashi Inuzuka, Masayuki Matsuo, Hiroshi Fujita (Gifu Univ.) MI2015-124
The purpose of this research is to apply our previous method of automated recognition of a sternocleidomastoid muscle in... [more] MI2015-124
pp.247-250
MI 2016-01-20
13:05
Okinawa Bunka Tenbusu Kan Analysis of human fetus musculoskeletal system by using 0.2mm isotropic voxel MRI
Reina Miyazaki, Akira Yamamoto, Mikako Kamatani, Haruyuki Makishima, Tomohisa Okada, Kaori Togashi, Shigehito Yamada (Kyoto Univ.) MI2015-128
High-resolution images of human fetuses are available owing to advancements of magnetic resonance imaging (MRI). We carr... [more] MI2015-128
pp.267-270
MBE, NC
(Joint)
2015-12-19
13:50
Aichi Nagoya Institute of Technology A musculoskeletal model-based estimation of shoulder muscle forces during the elevation of the upper arm in the coronal plane
Yosuke Fujii, Toyohiko Hayashi, Shigehito Tanahashi (Niigata Univ.), Hiroshi Tanaka, Hiroki Ninomiya, Hiroaki Inui, Masahiko Komai, Katsuya Nobuhara (Nobuhara Hospital) MBE2015-71
Since the glenohumeral joint is unstable due to less support of bones, its stability is believed to be reinforced by the... [more] MBE2015-71
pp.49-54
MI 2015-11-11
15:20
Nara NAIST Experimental report of three-dimensional measurement of muscle attachments in thigh muscles with two cadavers
Norio Fukuda, Yoshito Otake, Futoshi Yokota (NAIST), Masaki Takao, Takeshi Ogawa, Keisuke Uemura, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2015-67
Muscle attachments are important for a bio-mechanical simulation. It is not easy to extract a patient-specific muscle at... [more] MI2015-67
pp.49-53
MI 2015-09-08
15:25
Tokyo Univ. of Electro-communications Study of the body cavity recognition based on TPS method for systemic skeletal muscle recognition in whole-body CT images
Kosuke Ieda (Gifu Univ.), Naoki Kamiya (Aichi Pref. Univ.), Xiangrong Zhou, Megumi Yamada, Hiroki Kato (Gifu Univ.), Kagaku Azuma (University of Occupational and Environmental Health), Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2015-55
The purpose of this research is to recognize whole skeletal muscles for whole-body CT images suspected of an ALS. Theref... [more] MI2015-55
pp.35-38
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
MBE 2014-05-24
13:25
Toyama University of Toyama Improvement of a Musculoskeletal Model of the Shoulder in Consideration of the Muscular Overlap on the Bones
Yosuke Fujii, Toyohiko Hayashi (Niigata Univ.), Hiroshi Tanaka, Hiroki Ninomiya, Hiroaki Inui, Masahiko Komai, Katsuya Nobuhara (Nobuhara Hospital) MBE2014-5
Stability of the glenohumeral joint of human beings is known to be achieved partly by the activities of the shoulder mus... [more] MBE2014-5
pp.19-24
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
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