Simple Muscle Architecture Analysis (SMA): An ImageJ macro tool to automate measurements in B-mode ultrasound scans
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-ef...
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description | 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. |
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Our test results illustrate the suitability of SMA to analyse images from superficial muscles acquired with a broad range of ultrasound settings.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0229034</identifier><identifier>PMID: 32049973</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Architecture ; Automation ; Biology and Life Sciences ; Computer and Information Sciences ; Frequency dependence ; Humans ; Image acquisition ; Image analysis ; Image filters ; Image Interpretation, Computer-Assisted ; Image processing ; Image Processing, Computer-Assisted - methods ; In vivo methods and tests ; Measurement ; Medicine and Health Sciences ; Methods ; Muscles ; Muscles - diagnostic imaging ; Open source software ; Plug-in software ; Power ; Prejudice ; Research and Analysis Methods ; Setting (Literature) ; Software ; Standard deviation ; Structure-function relationships ; Time ; Ultrasonic imaging ; Ultrasonography - methods ; Ultrasound ; Workflow</subject><ispartof>PloS one, 2020-02, Vol.15 (2), p.e0229034-e0229034</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Seynnes, Cronin. 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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.</description><subject>Architecture</subject><subject>Automation</subject><subject>Biology and Life Sciences</subject><subject>Computer and Information Sciences</subject><subject>Frequency dependence</subject><subject>Humans</subject><subject>Image acquisition</subject><subject>Image analysis</subject><subject>Image filters</subject><subject>Image Interpretation, Computer-Assisted</subject><subject>Image processing</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>In vivo methods and tests</subject><subject>Measurement</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Muscles</subject><subject>Muscles - diagnostic imaging</subject><subject>Open source software</subject><subject>Plug-in software</subject><subject>Power</subject><subject>Prejudice</subject><subject>Research and Analysis Methods</subject><subject>Setting (Literature)</subject><subject>Software</subject><subject>Standard deviation</subject><subject>Structure-function relationships</subject><subject>Time</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonography - 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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. 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subjects | Architecture Automation Biology and Life Sciences Computer and Information Sciences Frequency dependence Humans Image acquisition Image analysis Image filters Image Interpretation, Computer-Assisted Image processing Image Processing, Computer-Assisted - methods In vivo methods and tests Measurement Medicine and Health Sciences Methods Muscles Muscles - diagnostic imaging Open source software Plug-in software Power Prejudice Research and Analysis Methods Setting (Literature) Software Standard deviation Structure-function relationships Time Ultrasonic imaging Ultrasonography - methods Ultrasound Workflow |
title | Simple Muscle Architecture Analysis (SMA): An ImageJ macro tool to automate measurements in B-mode ultrasound scans |
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