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Output details

11 - Computer Science and Informatics

Manchester Metropolitan University

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Output 20 of 37 in the submission
Article title

Estimating skeletal muscle fascicle curvature from B-Mode ultrasound image sequences

Type
D - Journal article
Title of journal
IEEE Transactions on Biomedical Engineering
Article number
-
Volume number
60
Issue number
2
First page of article
1935
ISSN of journal
1558-2531
Year of publication
2013
URL
-
Number of additional authors
4
Additional information

<28>First description of the use of ultrasound to automatically determine the shape of muscle fascicles as they contract. This segments the muscle into different tissues and uses a particle filter to measure the fascicle orientation at different depths, learning frame-to-frame variation as the sequence progresses. The significance is demonstrated by a variety of realistic actions, on which the algorithm is capable of accurately characterising intra-movement fascicle variation, unlike other techniques, which fail to track the muscle. The impact will be on physiological models of muscle contraction, which can be accurately tested on large amounts of data.

Interdisciplinary
Yes
Cross-referral requested
-
Research group
A - Biological and Sensory Computation
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-