Title :
Extracting kinetic information from dynamic imaging protocols: a Bayesian approach to parametric image analysis
Author :
Spilker, Mary E. ; Vicini, Paolo ; Ka-Loh Lie ; Brasch, Robert C.
Author_Institution :
Dept. of Bioeng., Univ. of Washington, Seattle, WA, USA
Abstract :
A Bayesian method is proposed to determine regularized parametric images from dynamic imaging protocols. The approach allows to estimate functional parameters from a mathematical model of contrast agent kinetics, and to regularize such estimate using Bayesian approaches. Simulation studies and preliminary analysis of real contrast-enhanced MRI data from mammary tumors in an animal model are encouraging.
Keywords :
Bayes methods; biomedical MRI; image enhancement; mammography; medical image processing; parameter estimation; physiological models; tumours; animal model; cancer diagnosis; compartmental model; contrast-enhanced dynamic MRI; functional parameters estimation; kinetic models; magnetic resonance imaging; mammary tumors; mathematical model; medical diagnostic imaging; medical imaging data; Analytical models; Bayesian methods; Data mining; Image analysis; Kinetic theory; Magnetic resonance imaging; Mathematical model; Neoplasms; Parameter estimation; Protocols;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1106293
