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超声斑点追踪法对肩部韧带运动的可视化

Visualization of Shoulder Ligaments Motion by Ultrasound Speckle Tracking Method.

作者信息

Hermawan Norma, Fujiwara Mizuki, Hagiwara Yoshihiro, Saijo Yoshifumi

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2084-2087. doi: 10.1109/EMBC44109.2020.9176374.

Abstract

There is no unified consensus on the pathophysiology of adhesive capsulitis which is also called as frozen shoulder. Some studies have suggested that coracohumeral ligament (CHL) played an important role in adhesive capsulitis. These studies showed relation between disease prevalence and CHL thickness by means of ultrasound or MRI. Other possible etiology of the disease is the adhesion of shoulder ligament with each other. In the present study, shoulder ligaments motion is visualized with velocity vector by speckle tracking and temporal outlier removal algorithm to process ultrasound movie during forced movement of shoulder joint. The measurement with a typical subject has demonstrated an improvement of velocity vector deviation of up to 43% by the proposed outlier removal technique.

摘要

对于也被称为肩周炎的黏连性关节囊炎的病理生理学,目前尚无统一的共识。一些研究表明,喙肱韧带(CHL)在黏连性关节囊炎中起重要作用。这些研究通过超声或磁共振成像显示了疾病患病率与喙肱韧带厚度之间的关系。该疾病的其他可能病因是肩部韧带相互粘连。在本研究中,通过散斑追踪和时间离群值去除算法,在肩关节强制运动期间处理超声电影,以速度矢量可视化肩部韧带运动。对一名典型受试者的测量表明,所提出的离群值去除技术可使速度矢量偏差改善高达43%。

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