Meeting Banner
Abstract #2734

A Comparison Between Individual and Population Based Arterial Input Functions in the Analysis of DCE-MRI Breast Cancer Data

Xia Li1, E. Brian Welch2, A. Bapsi Chakravarthy3, Lei Xu4, Mary Loveless5, Ingrid Mayer6, Mark Kelley7, Ingrid Meszoely8, Julie Means-Powell7, John C. Gore9, Thomas E. Yankeelov1

1Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States; 2Philips Healthcare, Nashville, TN, United States; 3Radiation Oncology, Vanderbilt University; 4Biostatistics, Vanderbilt University; 5Biomedical Engineering, Vanderbilt University; 6Medical Oncology, Vanderbilt University; 7Surgical Oncology, Vanderbilt University; 8Radiology, Vanderbilt University; 9Radiology and Radiological Sciences , Vanderbilt University, Nashville, TN, United States

The accurate determination of the arterial input function, or AIF, plays an important role to quantitative analysis of dynamic contrast enhanced MRI (DCE-MRI) data. We have proposed (in a separate abstract) a simple and efficient method to obtain the AIF, through tracking an initial seed point placed within the axillary artery. Using this method, we obtain the AIF for each individual patient (AIFind) and the population averaged AIF (AIFpop). We apply the AIFs to two DCE-MRI pharmacokinetic models to compare the physiological parameters.