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Fig. 1 | Skeletal Muscle

Fig. 1

From: Fully-automated segmentation of muscle and inter-/intra-muscular fat from magnetic resonance images of calves and thighs: an open-source workflow in Python

Fig. 1

Sources of precision error in the previously-validated semi-automatic application of the ITSA [14]. (A) An example of a raw axial FSE MR slice in the mid-calf. (B) Zoomed in view of A showing distribution of brighter and fainter (partial-volumed) voxels of fat. (C) Successful IMF segmentation applied by ITSA (in yellow), showing remaining voxels of fat that could be quantified. The white arrow points to remaining fat that was not captured due to its greyscale values being below the final threshold identified by ITSA. (D) Histogram showing distribution of fat pixel signal intensities

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Skeletal Muscle

ISSN: 2044-5040

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