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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 22  /  [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 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
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 2015-09-08
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
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
MBE, NC
(Joint)
2012-11-16
13:00
Miyagi Tohoku University Estimation of hand position from EMG signals using musculo-skeletal model
Toshihiro Kawase (Res. Inst. Natl. Rehab. Cent.), Yasuharu Koike (Titech), Kenji Kansaku (Res. Inst. Natl. Rehab. Cent.) MBE2012-49
We have developed a Brain-Machine Interface based Occupational Therapy Assist Suit (BOTAS), which estimated user’s inten... [more] MBE2012-49
pp.21-24
MBE 2011-06-17
13:25
Hokkaido Hokkaido University A musculoskeletal model-based estimation of shoulder muscle forces for elevating the upper arm in case of rotator cuff tears
Naoki Kinoshita, Toyohiko Hayashi, Yoshinobu Maeda, Tetsuya Watanabe (Niigata Univ.), Hiroshi Tanaka, Hiroki Ninomiya, Masahiko Komai, Katsuya Nobuhara (Nobuhara hospital) MBE2011-14
Rotator cuff tear is one of the typical muscle disorders in shoulder. This tear is believed to change the activity patte... [more] MBE2011-14
pp.19-24
HIP 2011-02-22
11:00
Okinawa Okinawa International Univ. A Method to Estimate Finger Muscle Activation Levels from the Variation of Fingertip Forces against Disturbances based on a Musculo-skeletal Human Hand Model
Keiju Tomoda (Kyoto Univ.), Yasuyoshi Yokokohji (Kobe Univ.) HIP2010-88
To analyze human hand dexterity, activation levels of finger muscles must be estimated. Although surface EMG is a noninv... [more] HIP2010-88
pp.51-56
MBE 2008-10-30
13:00
Osaka Osaka Electro-Communication University Frequency response of biceps brachii muscle during isometric twitch contraction
Yasushi Itoh (Aichi Human Service Center ・ BMC RIKEN), Kumi Akataki (Osaka Electro-Communication Univ.), Katsumi Mita (Seijoh Univ. ・ BMC RIKEN), Makoto Watakabe (Hokkaido Univ. of Education) MBE2008-53
The aim of the present investigation was to examine the relationship between the frequency transfer function of skeletal... [more] MBE2008-53
pp.1-4
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