Abstract #1120

Evaluating the influence of contrast weighting, resolution, and parallel imaging on the reproducibility and tissue specificity of radiomic features

Brendan Lee Eck¹, Prathyush Chirra¹, Kaustav Bera¹, Nitya Talasila¹, Pallavi Tiwari¹, Anant Madabhushi¹, Satish Viswanath¹, and Nicole Seiberlich¹

¹Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

Computer-extracted (radiomic) features can provide a wealth of quantitative information that is useful for quantitative characterization of disease. However, routine image acquisition parameters can vary substantially across patients with the potential to confound or degrade results obtained by analysis of radiomic features. The extent to which the variation in routine image acquisition parameters can affect radiomic features in vivo is not well known. In this work, we evaluate the influence of varied contrast weighting (TR, TE), varied resolution, and the use of parallel imaging on intensity and textural radiomic features in T₂-weighted images.

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