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Abstract #1109

Significance of 3D Isotropic Resolution for Image Texture Analysis of Pharmacokinetic Model Parametric Maps

Karl Kiser1, Jin Zhang1, and S. Gene Kim1,2
1Radiology, Weil Cornell Medical College, New York, NY, United States, 2Center for Biomedical Imaging (CBI), Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, United States

Quantitative analysis of MRI image features for estimating tumor grading and treatment response is a growing area of research, however a lack of reproducibility and validation present a major challenge in the field. Our study investigates how spatial resolution affects texture features of DCE-MRI images by comparing features generated from 3D isotropic high resolution kinetic parameter maps with typical thick slice maps. We demonstrate that 3D textural features can differ by several orders of magnitude when extracted from isotropic versus thick slice images. These findings have potentially significant implications in the predictive capabilities of texture features.

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