I am looking to measure ultrasound cross sectional area (measured in cm^2) of a thigh muscle in people

I know that there might be some fluctuation in measurement/variability

Would this be a reasonable method to reduce variability: if i measure it once, call it "m1", then repeat the method immediately (m2). I then want to see if the 2 measurements are "close enough" - eg within 10% before accepting one of them as the "true value".

do I simply do m1-m2/m1 * 100 ?

but also doing m2-1/m2 * 100 would give slifghtly diff results

After I figure out this method, then I plan on testing it on a pilot study

- eg 10 participants, measure each participant twice. Then work out an intraclass coefficient, which I believe would be the Two-way mixed effects model?

I know that there might be some fluctuation in measurement/variability

Would this be a reasonable method to reduce variability: if i measure it once, call it "m1", then repeat the method immediately (m2). I then want to see if the 2 measurements are "close enough" - eg within 10% before accepting one of them as the "true value".

do I simply do m1-m2/m1 * 100 ?

but also doing m2-1/m2 * 100 would give slifghtly diff results

After I figure out this method, then I plan on testing it on a pilot study

- eg 10 participants, measure each participant twice. Then work out an intraclass coefficient, which I believe would be the Two-way mixed effects model?

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