title: Enhancing the convex analysis of mixtures technique for estimating DCE-MRI pharmacokinetic parameters.
abstract: Dynamic-contrast enhanced magnetic resonance imaging (DCE-MRI) is a useful noninvasive tool for monitoring tumor angiogenesis and assessing therapeutic response. One major problem that prevents an accurate estimation of pharmacokinetic parameters is partial-volume effect (PVE). A multi-tissue compartmental modeling (CM) technique supported by convex analysis of mixtures (CAM) is used to overcome the PVE by clustering pixels and constructing a simplex whose vertices are of a single compartment type. CAM uses the identified pure-volume pixels to estimate the kinetics of the tissues under investigation. This paper reports an enhanced version of CAM-CM to identify pure-volume pixels more accurately. This includes the consideration of the neighborhood effect on each pixel and the use of a barycentric coordinate system to identify more pure-volume pixels and to test those identified by CAM. The enhanced CAM achieved root mean square error (RMSE) of 0.00348 ± 0.000019, lower than the RMSE of 0.05409 ± 0.00496 achieved by CAM.
authors.forename: Ibrahim Mohamed
authors.initials: IM
authors.lastname: Ibrahim
authors.forename: Guoqiang
authors.initials: G
authors.lastname: Yu
authors.forename: Li
authors.initials: L
authors.lastname: Chen
authors.forename: Yue
authors.initials: Y
authors.lastname: Wang
mesh_terms: D016000:Cluster Analysis; D003287:Contrast Media / Q000493:pharmacokinetics*; D006801:Humans; D007700:Kinetics; D008279:Magnetic Resonance Imaging / Q000379:methods; D008954:Models, Biological; D009389:Neovascularization, Pathologic / Q000175:diagnosis*
chemical_list: D003287:Contrast Media