Automatic tracking of muscle fascicles in ultrasound images using localized radon transform

Heng Zhao, Li-Qun Zhang*

*Corresponding author for this work

Research output: Contribution to journalArticle

30 Scopus citations

Abstract

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 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 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 that 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.

Original languageEnglish (US)
Article number5753930
Pages (from-to)2094-2101
Number of pages8
JournalIEEE Transactions on Biomedical Engineering
Volume58
Issue number7
DOIs
StatePublished - Jul 1 2011

Keywords

  • Fascicle tracking
  • Radon transform (RT)
  • linear detection
  • ultrasound

ASJC Scopus subject areas

  • Biomedical Engineering

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