CT texture analysis challenges: Influence of acquisition and reconstruction parameters: A comprehensive review

Mathilde Espinasse, Stéphanie Pitre-Champagnat, Benoit Charmettant, Francois Bidault, Andreas Volk, Corinne Balleyguier, Nathalie Lassau, Caroline Caramella

    Research output: Contribution to journalReview articlepeer-review

    41 Citations (Scopus)

    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.

    Original languageEnglish
    Article number258
    JournalDiagnostics
    Volume10
    Issue number5
    DOIs
    Publication statusPublished - 1 May 2020

    Keywords

    • Acquisition parameters
    • Computed tomography
    • Radiomics
    • Texture analysis

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