Texture analysis in medical imaging is a promising tool that is designed to improve the characterization of abnormal images yaya vape from patients, to ultimately serve as a 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 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 chicago bears garden gnome step for future texture analysis.