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Abstract #3796

A 3D-Printed Multi-level Perfusion Phantom for Quantitative Analysis of Perfusion Models vs. Experimental Data

John Morgan1 and Yi Wang1
1Cornell University, New York, NY, United States

Current methods for perfusion characterization are difficult to quantify absolutely and provide only relative and qualitative information. Perfusion-phantoms that enable quantitative analysis of transport phenomena are needed to test theoretical models against experimental data. The initial design and deployment of a 3D-printed phantom with pump-driven perfusion of multi-level microvascular structure encapsulated in hydrogel is presented. It simulates vascularized tissue and enables experimental validation. A new quantitative analytical method , using voxelized constitutive convection-diffusion equations, is applied to DCE data and compared to traditional Kety’s methods. The largely qualitative and unmeasurable Kety global AIF assumption is replaced with measurable and reproducible data.

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