Advancement of iliopsoas muscle analysis by development of 3D image analysis technique of iliac muscle

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K21588
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Medical Physics and Radiological Technology; Medical systems
• Research Institution: Aichi Prefectural University
• Principal Investigator: KAMIYA Naoki 愛知県立大学, 情報科学部, 講師 (00580945)
• Research Collaborator: FUJITA Hiroshi ; HARA Takeshi ; ZHOU Xiangrong ; MURAMATSU Chisako ; CHEN Huayue ; IEDA Kosuke
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 腸腰筋 / 腸骨筋 / 大腰筋 / 筋走行モデリング / 骨格筋自動認識 / 骨格筋自動解析

Outline of Final Research Achievements

In this research, we focused on the iliopsoas muscles, which are the muscles related to the autonomous walking function. We achieved automatic recognition of the iliac muscle constituting the iliopsoas muscle and development of three dimensional automatic analysis technique of the iliopsoas muscle combined with the psoas major and iliac muscle. Here, in addition to a shape model representing the outline of the large psoas muscle developed by our previous study, we also constructed a shape model of the iliac muscle. In order to apply this shape model to arbitrary cases, we first calculate the landmarks as feature points from the anatomical origin and insertion, then, in the muscle fiber direction model modeling the direction of the muscles between the landmarks. Finally, a shape model was fitted on the muscle fiber running model to realize recognition. Furthermore, we developed a technique to analyze recognized skeletal muscles not only by muscle mass but also by texture features.

Free Research Field

医用画像情報処理