Recent Progress in Automatic Processing of Skeletal Muscle Morphology Using Ultrasound: A Brief Review

Title:Recent Progress in Automatic Processing of Skeletal Muscle Morphology Using Ultrasound: A Brief Review

Volume: 14

Author(s): Yongjin Zhou, Xiaojuan Yang, Wanzhang Yang, Wenxiu Shi, Yaoyao Cui and Xin Chen*

Affiliation:

• National-Regional Key Technology Engineering Laboratory for Medical Ultrasound; Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen,China

Keywords: Cross-sectional area, fascicle length, morphological parameter, muscle thickness, musculoskeletal ultrasound image, pennation angle.

Abstract: Background: Skeletal muscle morphology plays an essential role in determining function. Ultrasonography has been widely adopted to evaluate the morphological parameters of different muscles in both static and dynamic circumstances. In recent years, numerous algorithms, especially automated algorithms, have been developed to extract morphological parameters from musculoskeletal ultrasound images. It is now possible to analyze muscle contraction dynamics not only using traditional techniques, such as Mechanomyography (MMG) and Electromyography (EMG), but also using ultrasonography.

Conclusion: This review summarizes the important progress in these processing algorithms for different morphological parameters and concludes with recent results and forward-looking issues.

Cite this article as:

Zhou Yongjin, Yang Xiaojuan, Yang Wanzhang, Shi Wenxiu, Cui Yaoyao and Chen Xin*, Recent Progress in Automatic Processing of Skeletal Muscle Morphology Using Ultrasound: A Brief Review, Current Medical Imaging 2018; 14 (2) . https://dx.doi.org/10.2174/1573405613666170126155934

DOI https://dx.doi.org/10.2174/1573405613666170126155934	Print ISSN 1573-4056
Publisher Name Bentham Science Publisher	Online ISSN 1875-6603