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

Abstract : 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.
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https://hal.archives-ouvertes.fr/hal-03326433
Contributor : Stephanie Pitre Champagnat Connect in order to contact the contributor
Submitted on : Thursday, August 26, 2021 - 1:58:55 PM
Last modification on : Thursday, September 23, 2021 - 4:28:40 PM

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2020 Mathilde CT review.pdf
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Mathilde Espinasse, Stéphanie Pitre, Benoit Charmettant, Francois Bidault, Andreas Volk, et al.. CT Texture Analysis Challenges: Influence of Acquisition and Reconstruction Parameters: A Comprehensive Review. Diagnostics, MDPI, 2020, 10, ⟨10.3390/diagnostics10050258⟩. ⟨hal-03326433⟩

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