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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2016-01-20 10:20 |
Okinawa | Bunka Tenbusu Kan | Automated classification of mandibular cortical bone on dental panoramic radiographs for early detection of osteoporosis Kazuki Horiba, Chisako Muramatsu (Gifu Univ.), Tatsuro Hayashi (Media), Tatsumasa Fukui (Asahi Univ.), Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.)  MI2015-116 |
[more] | MI2015-116 pp.211-214 |
| MI | 2016-01-20 13:05 |
Okinawa | Bunka Tenbusu Kan | Development of automated detection method for architectural distortion based on the medical knowledge on mammograms Akihiro Ito (Gifu Univ.), Tomoko Matsubara (Nagoya bunri Univ.), Tsunomori Akinori (KONICA MINOLTA), Takeshi Hara, Muramatsu chisako (Gifu Univ.), Tokiko Endo (Higashi Nagoya Hospital), Fujita Hiroshi (Gifu Univ.) MI2015-120 |
Architectural distortion is one of very important findings in interpreting breast cancer on mammograms. However, one of ... [more] | MI2015-120 pp.229-232 |
| 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 14:38 |
Okinawa | Bunka Tenbusu Kan | Semiautomatic method for measuring alveolar bone resorption level with alveolar crest line detection by thin plate splines deformation and gradient analysis on dental panoramic radiographs Ryo Takahashi, Chisako Muramatsu, Takeshi Hara (Gifu Univ.), Tatsuro Hayashi (Media Co., Ltd.), Tatsumasa Fukui, Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.) MI2015-139 |
Alveolar bone resorption is one of the most significant signs to evaluate the destruction of periodontium by periodontal... [more] | MI2015-139 pp.327-330 |
| 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 |
| MI | 2015-07-14 15:40 |
Hokkaido | Sun Refle Hakodate | Semi-automated measurement of mean cerebral blood flow based on dynamic scintigrams Tomohiko Kobota (Gifu Univ), Hiroshi Tago (Japanese Red Cross Gifu Hosp), Takeshi Hara, Daisuke Fukuoka (Gifu Univ), Tetsuro Katafuchi (Gifu Univ of Medical Science), Hiroo Goto (Japanese Red Cross Gifu Hosp), Hiroshi Fujita (Gifu Univ) MI2015-36 |
Patlak plot法は, 脳血流シンチグラフィにおいて低侵襲な平均脳血流量(mCBF)の測定法として利用される. mCBFの値の再現性は認知症の診断に重要である. しかし手動操作による大脳半球, 大動脈弓のROIの設定は、測定値の再現性... [more] | MI2015-36 pp.23-26 |
| MRIS, ITE-MMS | 2015-07-10 13:50 |
Tokyo | Waseda Univ. | A study on high-density recording with barium-ferrite particulate media
-- Magnetic tape which has been demonstrated an areal density of 123GBPSI -- Masahito Oyanagi, Atsushi Morooka, Yuichi Kurihashi, Osamu Shimizu, Toshio Tada, Hiroyuki Suzuki, Takeshi Harasawa (FUJIFILM) |
[more] | |
| 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 |
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| 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 | 2015-03-02 13:40 |
Okinawa | Hotel Miyahira | Semi-automatic region detection of maxillary sinus on dental panoramic radiograph Yuma Miki, Takeshi Hara, Chisako Muramatsu (Gifu Univ.), Tatsuro Hayashi (Media), Akitoshi Katsumata (Asahi Univ.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ.) MI2014-77 |
Recently, a diagnosis using a dental panoramic radiograph is frequently performed. We previously developed a method to d... [more] | MI2014-77 pp.111-114 |
| MI | 2015-03-02 13:40 |
Okinawa | Hotel Miyahira | Automated analysis of mean cerebral blood flow based on Patlak plot method Tomohiko Kobota, Takeshi Hara (Gifu Univ), Hiroshi Tago (Japanese Red Cross Gifu Hosp), Daisuke Fukuoka (Gifu Univ), Tetsuro Katafuchi (GUMS), Hiroo Goto (Japanese Red Cross Gifu Hosp), Hiroshi Fujita (Gifu Univ) MI2014-78 |
The purpose of this study is to develop an automated analysis method to reduce variations in the measurement of mean cer... [more] | MI2014-78 pp.115-118 |
| MI | 2014-09-02 15:40 |
Tokyo | The Institute of Statistical Mathematics | Comparison of SUVs and Z-scores on torso FDG-PET/CT scans based on statistical image analysis method Miho Shimizu, Takeshi Hara, Xiangrong Zhou, Chisako Muramatsu (Gifu Univ.), Satoshi Itoh (Daiyukai General Hospital), Shinichiro Kumita, Keiichi Ishihara (Nippon Medical School), Tetsuro Katafuchi (Gifu Univ. of Medical Science), Hiroshi Fujita (Gifu Univ.) MI2014-42 |
The purpose of this study is to develop a statistical analysis method of glucose metabolism on torso FDG-PET/CT scans. T... [more] | MI2014-42 pp.39-42 |
| MRIS, ITE-MMS | 2014-07-17 15:20 |
Tokyo | Tokyo Institute of Technology | A study on high-density recording with barium-ferrite particulate tape Masahito Oyanagi, Takeshi Harasawa, Yuichi Kurihashi, Osamu Shimizu, Toshio Tada, Masashi Shirata, Hiroyuki Suzuki (FUJIFILM) |
[more] | |
| PRMU, MI, IE, SIP | 2014-05-22 14:40 |
Aichi | Computer-aided detection system of early CT signs in acute cerebral infarction Yuzuho Yamaguchi, Takeshi Hara (Gifu Univ.), Keiji Sakashita (Senshu TCCC), Xiangrong Zhou, Chisako Muramatsu, Hiroshi Fujita (Gifu Univ.) SIP2014-3 IE2014-3 PRMU2014-3 MI2014-3 |
Acute cerebral infarctions (ACI) are typical fatal disorder in emergency medical care. Admission of recombinant tissue p... [more] | SIP2014-3 IE2014-3 PRMU2014-3 MI2014-3 pp.9-13 |
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| 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 | 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 | 2014-01-27 13:30 |
Okinawa | Bunka Tenbusu Kan | Improvement of CAD scheme for detection of lacunar infarcts in MR images using AdaBoost template matching Ayaka Tanigawa (Gifu Univ.), Yoshikazu Uchiyama (Kumamoto Univ.), Chisako Muramatsu, Takeshi Hara (Gifu Univ.), Junji Shiraishi (Kumamoto Univ.), Hiroshi Fujita (Gifu Univ.) MI2013-117 |
Asymptomatic lacunar infarcts are often detected in MR images at the health check system for brain diseases. The existen... [more] | MI2013-117 pp.323-326 |
| MI | 2014-01-27 13:30 |
Okinawa | Bunka Tenbusu Kan | Investigation on Classification of Benign and Malignant Masses on Mammograms by Use of Modified Local Ternary Pattern Chisako Muramatsu, Min Zhang, Takeshi Hara (Gifu Univ), Tokiko Endo (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ) MI2013-118 |
We have been investigating an image analysis method for assisting the differential diagnosis of breast masses on mammogr... [more] | MI2013-118 pp.327-330 |
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