Document Detail


Automatic Tracking of Muscle Fascicles in Ultrasound Images Using Localized Radon Transform.
MedLine Citation:
PMID:  21518657     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Ultrasound images of muscle fascicles have been widely used to investigate muscle properties under static/dynamic and pathologic conditions. Fascicle images are usually detected and measured manually, which is subjective and time consuming, especially when dealing with large number of images. In this study, an automatic linear extraction method based on localized Radon transform (LRT) and revoting strategy is proposed to detect and track muscle fascicles in ultrasound images. The performance of the proposed method is compared to another automatic linear feature extraction method of revoting Hough transform (RVHT) using both simulated images generated by Field II and clinical images from two human subjects. The proposed tracking method is further validated using experimental data. Both the simulation and experimental results show the proposed method is robust in the presence of speckle noise, accurate in terms of orientation and position measurement, and feasible for analyzing clinical data.
Authors:
H Zhao; L Zhang
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-4-21
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  -     ISSN:  1558-2531     ISO Abbreviation:  -     Publication Date:  2011 Apr 
Date Detail:
Created Date:  2011-4-26     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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