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An nBSS algorithm for pharmacokinetic analysis of prostate cancer using DCE-MR images.

Authors :
Ambikapathi, ArulMurugan
Chan, Tsung-Han
Keizer, Kannan
Yang, Fei-Shih
Chi, Chong-Yung
Source :
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI); 1/ 1/2012, p566-569, 4p
Publication Year :
2012

Abstract

Dynamic contrast enhanced magnetic resonance (DCE-MR) imaging is an exciting tool to study the pharmacokinetics of a suspected tumor tissue. Nonetheless, the inevitable partial volume effect in DCE-MR images may seriously hinder the quantitative analysis of the kinetic parameters. In this work, based on the conventional three-tissue compartment model, we propose an unsupervised nonnegative blind source separation (nBSS) algorithm, called time activity curve (TAC) estimation by projection (TACE-Pro), to dissect and characterize the composite signatures in DCE-MR images of patients with prostate cancers. The TACE-Pro algorithm first identifies the TACs (up to a scaling ambiguity) with theoretical support. Then the problem of scaling ambiguity and the estimation of kinetic parameters is handled by pharmacokinetic model fitting. Some Monte Carlo simulations and real DCE-MR image experiments of a patient with prostate cancer were performed to demonstrate the superior efficacy of the proposed TACE-Pro algorithm. Furthermore, the real data experiments revealed the consistency of the extracted information with the biopsy results. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISBNs :
9781457718571
Database :
Complementary Index
Journal :
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)
Publication Type :
Conference
Accession number :
86518561
Full Text :
https://doi.org/10.1109/ISBI.2012.6235611