6533b82dfe1ef96bd1291557
RESEARCH PRODUCT
Simple Muscle Architecture Analysis (SMA): An ImageJ macro tool to automate measurements in B-mode ultrasound scans
Thomas AbrahamOlivier R. SeynnesNeil Croninsubject
0301 basic medicineMuscle PhysiologyMuscle FunctionsPhysiologyComputer sciencelihaksetDiagnostic RadiologyComputer ArchitectureWorkflowtukikudoksetultrasound imaging0302 clinical medicineSoftwareUltrasound ImagingMedicine and Health SciencesImage Processing Computer-AssistedComputer visionMacroTissues and Organs (q-bio.TO)Musculoskeletal Systemconnective tissueUltrasonographyMultidisciplinaryOrientation (computer vision)Radiology and ImagingMusclesQImage and Video Processing (eess.IV)Gastrocnemius MusclesUltrasoundRultraääniMuscle AnalysisFascicleSMA*Bioassays and Physiological Analysismedicine.anatomical_structureConnective TissueMedicinemuscle analysisAnatomyResearch ArticleComputer and Information SciencesImaging TechniquesScienceFOS: Physical sciencesConnective tissueImage processingmuscle functionsImage Analysisgastrocnemius musclesResearch and Analysis Methods03 medical and health sciencesimage analysisDiagnostic MedicineImage Interpretation Computer-AssistedFOS: Electrical engineering electronic engineering information engineeringmedicineHumanskaksoiskantalihascomputer architectureRM695_Physicalbusiness.industryBiology and Life SciencesQuantitative Biology - Tissues and Organs030229 sport sciencesElectrical Engineering and Systems Science - Image and Video ProcessingPhysics - Medical PhysicsQPimaging techniquesBiological Tissue030104 developmental biologykuva-analyysiFOS: Biological sciencesMedical Physics (physics.med-ph)Artificial intelligenceMuscle architecturebusinessSoftwaredescription
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 indicates 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.
year | journal | country | edition | language |
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2020-02-12 |