IEEE-trans Medical-2013 .pdf (3.27 MB)
Estimating skeletal muscle fascicle curvature from B-mode ultrasound image sequences
journal contribution
posted on 2016-02-08, 16:23 authored by John Darby, Baihua LiBaihua Li, Nicholas Costen, Ian Loram, Emma Hodson-ToleWe address the problem of tracking in vivo muscle fascicle shape and length changes using ultrasound video sequences. Quantifying fascicle behavior is required to improve understanding of the functional significance of a muscle's geometric properties. Ultrasound imaging provides a noninvasive means of capturing information on fascicle behavior during dynamic movements; to date however, computational approaches to assess such images are limited. Our approach to the problem is novel because we permit fascicles to take up nonlinear shape configurations. We achieve this using a Bayesian tracking framework that is: 1) robust, conditioning shape estimates on the entire history of image observations; and 2) flexible, enforcing only a very weak Gaussian Process shape prior that requires fascicles to be locally smooth. The method allows us to track and quantify fascicle behavior in vivo during a range of movements, providing insight into dynamic changes in muscle geometric properties which may be linked to patterns of activation and intramuscular forces and pressures.
History
School
- Science
Department
- Computer Science
Published in
IEEE Transactions on Biomedical EngineeringVolume
60Issue
7Pages
1935 - 1945Citation
DARBY, J. ... et al, 2013. Estimating skeletal muscle fascicle curvature from B-mode ultrasound image sequences. IEEE Transactions on Biomedical Engineering, 60 (7), pp.1935-1945Publisher
© IEEEVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2013Notes
This is the accepted manuscript version of the paper. © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.ISSN
0018-9294eISSN
1558-2531Publisher version
Language
- en