CT Texture Analysis Challenges: Influence of Acquisition and Reconstruction Parameters: A Comprehensive Review

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 predictive or prognostic biomarker. However, the nature of image acquisition itself implies variability in each pixel/voxel value that c...

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Bibliographic Details
Main Authors: Mathilde Espinasse, Stéphanie Pitre-Champagnat, Benoit Charmettant, Francois Bidault, Andreas Volk, Corinne Balleyguier, Nathalie Lassau, Caroline Caramella
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Diagnostics
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Online Access:https://www.mdpi.com/2075-4418/10/5/258
Description
Summary: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 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 step for future texture analysis.
ISSN:2075-4418