2012 Fiscal Year Final Research Report

Development of methods for predicting muscle strength using thetexture information of Ultrasound echo image

Research Project

Project/Area Number	23650435
Research Category	Grant-in-Aid for Challenging Exploratory Research
Allocation Type	Multi-year Fund
Research Field	Applied health science
Research Institution	Kyushu University
Principal Investigator	MURAKI Satoshi 九州大学, 大学院・芸術工学研究院, 准教授 (70300473)
Co-Investigator(Kenkyū-buntansha)	FUKUDA Osamu 独立行政法人産業技術総合研究所, 生産計測技術研究センター, 研究員 (20357891) FUKUMOTO Kiyotaka 静岡大学, 工学部, 助教 (60600129) FUNATSU Kyotaro 九州共立大学, スポーツ科学部, 准教授 (10259658)
Project Period (FY)	2011 – 2012
Keywords	加齢 / 老化
Research Abstract	Muscle strength is determined by muscle quantity and quality. The present study examined whether image textures seen by B-mode ultrasound echo include information of muscle quality in the anterior thigh (rectus femoris and vastus intermedius muscles). Some parameters in the image textures showed a relationship to age and muscle strength of knee extension. These findings suggested that combination of information from the image textures and muscle quality (e.g. muscle thickness) can assess muscle strength and aging.

(4 results)