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 K_trans and K_ep 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 K_trans and K_ep from 3D DCE-MRI. The perfusion maps generated with this technique match the Levenberg Marquardt method and DynaCAD.

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