Keywords: Radiomics, Liver, Radiomics, Segmentation
Motivation: MRI radiomics with T2-mapping has been proposed to detect changes of chronic liver disease (CLD) but may be hampered by liver vasculature.
Goal(s): Our goal is to evaluate radiomics features of T2 maps and the impact of vessel removal on CLD classification.
Approach: T2 liver maps from a clinical cohort were analyzed using radiomics features and a T2 thresholding-based feature, followed by feature selection and random forest classification. Experiments were conducted on both full liver T2 maps and T2 maps with vessel removal using the Frangi filter.
Results: Vessel removal significantly enhanced CLD classification performance as measured by mean AUC.
Impact: Our findings have the potential for clinical translation to help establish MRI radiomics with T2-mapping for CLD diagnosis and treatment monitoring.
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