Dominic James Farris1, Glen A Lichtwark2. 1. School of Human Movement & Nutrition Sciences, Level 5, Building 26B, Blair Drive, The University of Queensland, Brisbane, QLD 4072, Australia. Electronic address: d.farris@uq.edu.au. 2. School of Human Movement & Nutrition Sciences, Level 5, Building 26B, Blair Drive, The University of Queensland, Brisbane, QLD 4072, Australia. Electronic address: g.lichtwark@uq.edu.au.
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.
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.
Authors: Patricio A Pincheira; Ben W Hoffman; Andrew G Cresswell; Timothy J Carroll; Nicholas A T Brown; Glen A Lichtwark Journal: Eur J Appl Physiol Date: 2021-08-26 Impact factor: 3.078