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Abstract #2770

Analytical Characterization of Statistical Bias in Multi-Point Apparent Diffusion Coefficient (ADC) Measurements: Application to Prostate Cancer Imaging

Joshua D. Trzasko1, Brent A. Warndahl1, Stephen J. Riederer1, and Adam T. Froemming1

1Mayo Clinic, Rochester, MN, United States

In most diffusion studies, two or more DW images are acquired and an apparent diffusion coefficient (ADC) map is generated, with the goal of providing quantitative diffusion information that is independent of acquisition settings or secondary tissues properties. However, ADC values can vary significantly following protocol changes. In this work, we analytically determine the statistical bias in ADC maps generated from multi-point DWI acquisitions, and show how the derived model rationalizes noise-based error propagation as the source of ADC inconsistencies observed in our own clinical practice.

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