Motion segmentation and estimation of active skeletal muscles in ultrasonic image sequences

Tzu Lun Weng, Yung-Nien Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The segmentation of high contrast anatomical structure from different medical images has been widely explored. However, there are seldom algorithms available to reliably segment soft tissue structures of a moving musculoskeletal system with ambiguous boundaries from ultrasound image sequences. Often, ambiguous object boundaries in a single image frame can be easily resolved when dynamic effects are computed based on a sequence of frames. But, the contraction of active skeletal muscles is very complex, such as concentric contraction, isometric contraction and eccentric contraction. These inhomogeneous motion properties make them very difficult to segment. In this paper, we proposed a new algorithm to segment the active skeletal muscles by minimizing an energy function and the curve motion estimation.

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Number of pages1
Volume2
ISBN (Print)0780356756
Publication statusPublished - 1999
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: 1999 Oct 131999 Oct 16

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period99-10-1399-10-16

All Science Journal Classification (ASJC) codes

  • Bioengineering

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  • Cite this

    Weng, T. L., & Sun, Y-N. (1999). Motion segmentation and estimation of active skeletal muscles in ultrasonic image sequences. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 2). IEEE.