Texture analysis in medical imaging is a promising tool that is designed to improve the characterization of abnormal images from patients, to ultimately serve as a Home Textiles predictive or prognostic biomarker.However, the nature of image acquisition itself implies variability in each pixel/voxel value that could jeopardize the usefulness of texture analysis in the medical field.In this review, a search was performed to identify current published data for computed tomography (CT) texture reproducibility and variability.
On the basis of this analysis, the critical steps were identified with a view of using texture analysis as a reliable tool in XLR/Speakon Connectors medical imaging.The need to specify the CT scanners used and the associated parameters in published studies is highlighted.Harmonizing acquisition parameters between studies is a crucial step for future texture analysis.