Abstract #0654

Impact of fitting strategy on DCE parameter estimates and performance : a simulation study in image space

Charlotte Debus¹, Ralf Floca², Amir Abdollahi¹, Jürgen Debus³, and Michael Ingrisch⁴

¹Translational Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany, ²Software development for Integrated Diagnostics and Therapy, German Cancer Research Center (DKFZ), Heidelberg, Germany, ³Department of Radiology, University of Heidelberg Medical School, Heidelberg, Germany, ⁴Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany

The two-compartment exchange model is a tracer-kinetic model that is defined by two coupled first-order differential equations. These can be solved analytically or by direct integration. In this simulation study, we compared both strategies for different parameter scenarios in synthetic 4D images. The sum of squared residuals was calculated either by numeric integration with the Runge-Kutta method or by numeric convolution. The resulting parameter estimates were evaluated in terms of accuracy, precision and computational speed. Both approaches yield similar results in parameter determination, the convolution excelled in computational speed.

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