title: Evaluation of model-independent deconvolution techniques to estimate blood perfusion.
abstract: This report evaluates several methods to estimate blood perfusion and residue functions in dynamic contrast enhanced (DCE) MRI. Among these are model-dependent and model-independent techniques. All methods were applied to series of Monte Carlo simulations to evaluate the accuracy in order to reproduce different underlying vascular residue functions and blood perfusions. Of the model-independent approaches the use of B-splines with Tikhonov regularization was shown to have a reasonable accuracy in blood perfusion estimations and was less biased than all model-dependent approaches. This technique seems most promising for application to experimental data.
authors.affiliation: Department of Pulmonology of VU University Medical Center, 1007 MB, Amsterdam, The Netherlands. t.kind@vumc.nl
authors.forename: Taco
authors.initials: T
authors.lastname: Kind
authors.forename: Ivo
authors.initials: I
authors.lastname: Houtzager
authors.forename: Theo J C
authors.initials: TJ
authors.lastname: Faes
authors.forename: Mark B M
authors.initials: MB
authors.lastname: Hofman
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003287:Contrast Media / Q000494:pharmacology; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D016014:Linear Models; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008955:Models, Cardiovascular; D015233:Models, Statistical; D009010:Monte Carlo Method; D010477:Perfusion; D015203:Reproducibility of Results; D013997:Time Factors
chemical_list: D003287:Contrast Media