| Literature DB >> 21785131 |
Li Chen1, Tsung-Han Chan, Peter L Choyke, Elizabeth M C Hillman, Chong-Yung Chi, Zaver M Bhujwalla, Ge Wang, Sean S Wang, Zsolt Szabo, Yue Wang.
Abstract
SUMMARY: In vivo dynamic contrast-enhanced imaging tools provide non-invasive methods for analyzing various functional changes associated with disease initiation, progression and responses to therapy. The quantitative application of these tools has been hindered by its inability to accurately resolve and characterize targeted tissues due to spatially mixed tissue heterogeneity. Convex Analysis of Mixtures - Compartment Modeling (CAM-CM) signal deconvolution tool has been developed to automatically identify pure-volume pixels located at the corners of the clustered pixel time series scatter simplex and subsequently estimate tissue-specific pharmacokinetic parameters. CAM-CM can dissect complex tissues into regions with differential tracer kinetics at pixel-wise resolution and provide a systems biology tool for defining imaging signatures predictive of phenotypes. AVAILABILITY: The MATLAB source code can be downloaded at the authors' website www.cbil.ece.vt.edu/software.htm CONTACT: yuewang@vt.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.Mesh：
Year: 2011 PMID： 21785131 PMCID： PMC3167053 DOI： 10.1093/bioinformatics/btr436
Source DB: PubMed Journal: Bioinformatics ISSN： 1367-4803 Impact factor: 6.937