# Open-Source Image Analysis Software Yields Reproducible CT Measures of Longissimus Muscle Area and Density in Sheep

## TL;DR

This study shows that open-source software can reliably measure muscle area and density in sheep using CT scans.

## Contribution

The study introduces a standardized, reproducible protocol for CT-based measurements of sheep longissimus muscles using open-source tools.

## Key findings

- Average coefficients of variation for 4 of 6 observers were good to excellent (<10%) for all variables.
- Average CVs did not differ among observers for 3 of 4 variables (ANOVA, p > .05).

## Abstract

Longissimus muscles (LM) in sheep are important for animal scientists who study meat quality and translational researchers who study thoracolumbar spinal disease. Computed tomography (CT) is an established technique for characterizing paraspinal muscles in sheep; however, studies reporting reproducibility of CT measures using open-source software are lacking. The objectives of this prospective pilot study were to develop a standardized protocol for measuring LM area and density in sheep using CT and to determine the reproducibility for measurements. Thoracolumbar CT images were acquired for four sheep at five time points each as part of another study. Six observers applied a standardized CT image analysis protocol to record triplicate transverse area (cm2) and water phantom-corrected mean density (Hounsfield units, HU) values for the left and right LM. Average coefficients of variation (CVs) for 4 of 6 observers were good to excellent (<10%) for all variables. Average CVs did not differ among observers for 3 of 4 variables (ANOVA, p > .05).