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Abstract #0654

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

Charlotte Debus1, Ralf Floca2, Amir Abdollahi1, J├╝rgen 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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