In:
PLOS ONE, Public Library of Science (PLoS), Vol. 17, No. 3 ( 2022-3-24), p. e0265752-
Abstract:
Ultrasound imaging is valuable for non-invasively estimating fascicle lengths and other features of pennate muscle, especially when performed computationally. Effective analysis techniques to date typically use optic flow to track displacements from image sequences, but are sensitive to integration drift for longer sequences. We here present an alternative algorithm that objectively estimates geometric features of pennate muscle from ultrasound images, without drift sensitivity. The algorithm identifies aponeuroses and estimates fascicle angles to derive fascicle lengths. Length estimates of human vastus lateralis and gastrocnemius fascicles in healthy subjects (N = 9 and N = 17 respectively) compared well (overall root-mean-square difference, RMSD = 0.52 cm) to manual estimates by independent observers (n = 3), with overall coefficient of multiple correlation (CMC) of 0.98. Our tests yielded accuracy (CMC, RMSD) and processing speed similar to or exceeding that of state-of-the-art algorithms. The algorithm requires minimal manual intervention and can optionally extrapolate fascicle lengths that extend beyond the image frame. It thus facilitates automated analysis of ultrasound images without drift.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0265752
DOI:
10.1371/journal.pone.0265752.g001
DOI:
10.1371/journal.pone.0265752.g002
DOI:
10.1371/journal.pone.0265752.g003
DOI:
10.1371/journal.pone.0265752.g004
DOI:
10.1371/journal.pone.0265752.g005
DOI:
10.1371/journal.pone.0265752.t001
DOI:
10.1371/journal.pone.0265752.t002
DOI:
10.1371/journal.pone.0265752.t003
DOI:
10.1371/journal.pone.0265752.s001
DOI:
10.1371/journal.pone.0265752.s002
DOI:
10.1371/journal.pone.0265752.s003
DOI:
10.1371/journal.pone.0265752.s004
DOI:
10.1371/journal.pone.0265752.s005
DOI:
10.1371/journal.pone.0265752.s006
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2022
detail.hit.zdb_id:
2267670-3
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