A1 Journal article (refereed)
Simple Muscle Architecture Analysis (SMA) : An ImageJ macro tool to automate measurements in B-mode ultrasound scans (2020)

Seynnes, Oliver R.; Cronin, Neil J. (2020). Simple Muscle Architecture Analysis (SMA) : An ImageJ macro tool to automate measurements in B-mode ultrasound scans. PLoS ONE, 15 (2), e0229034. DOI: 10.1371/journal.pone.0229034

JYU authors or editors

Publication details

All authors or editors: Seynnes, Oliver R.; Cronin, Neil J.

Journal or series: PLoS ONE

eISSN: 1932-6203

Publication year: 2020

Volume: 15

Issue number: 2

Article number: e0229034

Publisher: Public Library of Science

Publication country: United States

Publication language: English

DOI: http://doi.org/10.1371/journal.pone.0229034

Open Access: Publication published in an open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/67830

Web address of parallel published publication (pre-print): https://arxiv.org/abs/1905.09490v2


In vivo measurements of muscle architecture (i.e. the spatial arrangement of muscle fascicles) are routinely included in research and clinical settings to monitor muscle structure, function and plasticity. However, in most cases such measurements are performed manually, and more reliable and time-efficient automated methods are either lacking completely, or are inaccessible to those without expertise in image analysis. In this work, we propose an ImageJ script to automate the entire analysis process of muscle architecture in ultrasound images: Simple Muscle Architecture Analysis (SMA). Images are filtered in the spatial and frequency domains with built-in commands and external plugins to highlight aponeuroses and fascicles. Fascicle dominant orientation is then computed in regions of interest using the OrientationJ plugin. Bland-Altman plots of analyses performed manually or with SMA indicate that the automated analysis does not induce any systematic bias and that both methods agree equally through the range of measurements. Our test results illustrate the suitability of SMA to analyse images from superficial muscles acquired with a broad range of ultrasound settings.

Keywords: ultrasound; muscles; image analysis; connective tissues

Free keywords: ultrasound imaging; muscle analysis; computer architecture; muscle functions; imaging techniques; image analysis; connective tissue; gastrocnemius muscles

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Ministry reporting: Yes

Preliminary JUFO rating: 1

Last updated on 2020-28-02 at 10:29