UltraTrack: software for semi-automated tracking of muscle fascicles in sequences of B-mode ultrasound images

Farris, Dominic James and Lichtwark, Glen A. (2016) UltraTrack: software for semi-automated tracking of muscle fascicles in sequences of B-mode ultrasound images. Computer Methods and Programs in Biomedicine, 128 111-118. doi:10.1016/j.cmpb.2016.02.016

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
UQ381744_OA.pdf Full text (open access) application/pdf 1.59MB 0

Author Farris, Dominic James
Lichtwark, Glen A.
Title UltraTrack: software for semi-automated tracking of muscle fascicles in sequences of B-mode ultrasound images
Journal name Computer Methods and Programs in Biomedicine   Check publisher's open access policy
ISSN 1872-7565
0169-2607
Publication date 2016-05-01
Year available 2016
Sub-type Article (original research)
DOI 10.1016/j.cmpb.2016.02.016
Open Access Status File (Author Post-print)
Volume 128
Start page 111
End page 118
Total pages 8
Place of publication Shannon, Clare Ireland
Publisher Elsevier Ireland
Language eng
Abstract Background: Dynamic measurements of human muscle fascicle length from sequences of B-mode ultrasound images have become increasingly prevalent in biomedical research. Manual digitisation of these images is time consuming and algorithms for automating the process have been developed. Here we present a freely available software implementation of a previously validated algorithm for semi-automated tracking of muscle fascicle length in dynamic ultrasound image recordings, "UltraTrack".
Formatted abstract
Background

Dynamic measurements of human muscle fascicle length from sequences of B-mode ultrasound images have become increasingly prevalent in biomedical research. Manual digitisation of these images is time consuming and algorithms for automating the process have been developed. Here we present a freely available software implementation of a previously validated algorithm for semi-automated tracking of muscle fascicle length in dynamic ultrasound image recordings, “UltraTrack”.

Methods

UltraTrack implements an affine extension to an optic flow algorithm to track movement of the muscle fascicle end-points throughout dynamically recorded sequences of images. The underlying algorithm has been previously described and its reliability tested, but here we present the software implementation with features for: tracking multiple fascicles in multiple muscles simultaneously; correcting temporal drift in measurements; manually adjusting tracking results; saving and re-loading of tracking results and loading a range of file formats.

Results

Two example runs of the software are presented detailing the tracking of fascicles from several lower limb muscles during a squatting and walking activity.

Conclusion

We have presented a software implementation of a validated fascicle-tracking algorithm and made the source code and standalone versions freely available for download.
Keyword Fascicle
Tracking
Ultrasound
Automated
Affine optic flow
Matlab
Automatic tracking
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Human Movement and Nutrition Sciences Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 12 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 11 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Fri, 11 Mar 2016, 20:11:07 EST by Dominic James Farris on behalf of School of Human Movement and Nutrition Sciences