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Accurate way to measure muscle architecture changes in 2D ultrasound image

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  • Accurate way to measure muscle architecture changes in 2D ultrasound image

    I am a new PhD student looking for feedback on the best, most accurate and reliable way to measure muscle thickness, fascicle length, and pennation angle change in ultrasound image stacks. I am currently using ImageJ to manually digitise these points on each frame, however the likelihood of human error seems high. Not to mention incredibly time consuming.

    If anyone has any tips, tricks, etc. please let me know! Keen to hear what others are doing to be more reliable and accurate.

    Thank you

  • #2
    Re: Accurate way to measure muscle architecture changes in 2D ultrasound image

    are these images acquired under passive conditions or are they time series data sets during muscle contractions? if it is the former, manually digitizing the images is kind of the gold standard. however, there are some image processing approaches (Zhou - Automatic measurement of pennation angle and fascicle length of gastrocnemius muscles using real-time ultrasound imaging - i haven't been able to get this algorithm to work however). if you want to quantify muscle architecture during contractions - then there are some solutions. Lichtwark developed ultratrack software (https://www.sciencedirect.com/scienc...69260715303205) and I developed a fascicle tracking program (https://peerj.com/preprints/27475/).

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