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Abstract #2463

Robust and Efficient Pharmacokinetic Parameter Estimation: Application to Prostate DCE-MRI

Soudabeh Kargar1, Eric G Stinson2, Eric A Borisch2, Adam T Froemming2, Akira G Kawashima3, Lance A Mynderse4, Joshua D Trzasko2, and Stephen J Riederer2

1Biomedical Engineering and Physiology, Mayo Graduate School, Rochester, MN, United States, 2Radiology, Mayo Clinic, Rochester, MN, United States, 3Radiology, Mayo Clinic, Scottsdale, AZ, United States, 4Urology, Mayo Clinic, Rochester, MN, United States

The use of MRI for planning targeted biopsy and evaluation of recurrence is becoming more common; in particular, Dynamic Contrast-Enhanced MRI (DCE-MRI) as part of multi-parametric MRI, is used for assessment of tumor angiogenesis and monitoring the effectiveness of therapy. We are interested in accurate estimation of Ktrans and Kep as an indication of change in perfusion patterns in benign and malignant tissue. We developed a robust and efficient numerical optimization technique to find the (nonlinear) least squares estimates of Ktrans and Kep from 3D DCE-MRI. The perfusion maps generated with this technique match the Levenberg Marquardt method and DynaCAD.

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