The goal of this study was to investigate the relationship between an empirical contrast kinetic parameter, the signal enhancement ratio (SER), for three-timepoint, high spatial resolution contrast-enhanced (CE) MRI, and a commonly analyzed pharmacokinetic parameter, k ep , using dynamic high temporal resolution CE-MRI. Computer simulation was performed to investigate: 1) the relationship between the SER and the contrast agent concentration ratio (CACR) of two postcontrast timepoints (t p1 and t p2 ); 2) the relationship between the CACR and the redistribution rate constant (k ep ) based on a two-compartment pharmacokinetic model; and 3) the sensitivity of the relationship between the SER and k ep to native tissue T 1 relaxation time, T 10 , and to errors in an assumed vascular input function. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has become a method increasingly used for evaluating breast tumors. Signal enhancement on T 1 -weighted DCE-MRI can be assessed in two ways by using either a semiquantitative method to estimate signal intensity changes or a pharmacokinetic model to quantify changes of tissue contrast agent (CA) concentration (1). Pharmacokinetic model-based analysis of breast DCE-MRI data (2-9) has the advantages of providing parameters related to the changes in perfusion and vessel permeability of the microcirculation and allowing cross-comparison between different sites. However, compromises have to be made trading imaging spatial resolution, which is critical for detecting small features of breast lesions, for high temporal resolution, which is necessary for performing pharmacokinetic analysis. In addition, the native tissue T 1 relaxation time (T 10 ) and vascular input function (VIF) are required for the calculation of perfusion and vessel permeability (10). Establishing robust methods to rapidly measure T 10 and incorporating local VIF into kinetic modeling remain as challenges in model-based breast DCE-MRI.High spatial resolution imaging is advantageous for depicting the heterogeneous microvascular network in breast cancers using parametric methods (11-15). As the importance of tumor morphology for making a correct diagnosis is increasingly being recognized, images with high spatial resolution and high signal-to-noise ratio (SNR) are much more desired over those with high temporal resolution, but low spatial resolution and low SNR in breast MRI. Previous studies have utilized high spatial resolution threedimensional (3D) DCE-MRI with relatively low temporal resolution, e.g., 60 -90 sec/frame (12). Methods based on three-timepoint examination consisting of one pre-and two postcontrast scans are commonly used in clinical studies (11,16,17) to evaluate morphological changes of breast lesion, using high spatial resolution 3D imaging with a typical isotropic pixel size of 1 ϫ 1 ϫ 1 mm covering the entire symptomatic breast or both breasts. Furthermore, our group has utilized such a three-timepoint acquisition strategy to calculate high spatial resolution maps of a semiquantit...