Separating composite signals in multi-probe dynamic biomedical imaging

Li Chen, Yue Wang, Chong Yung Chi, Zsolt Szabo, Peter L. Choyke

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Multi-probe dynamic biomedical imaging promises powerful tools for the visualization and elucidation of complex biological processes. Recent research aims to simultaneously dissect the spatial-temporal distributions of source signals that often represent a composite of multiple biomarkers independent of spatial resolution. We report a hybrid unmixing method for separating non-negative dependent imaging biomarker mixtures. The geodesic-principled algorithm exploits partial-volume modeling, non-negative clustered component analysis, and convex pyramid analysis, aided by a spatial-temporal coordinated information visualization aid. We demonstrate the principle of the approach on dynamic contrast-enhanced magnetic resonance imaging data and observed the expected vascular permeability and perfusion patterns due to tumor-induced angiogenesis and responses to therapy.

Original languageEnglish (US)
Title of host publicationConference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC
Pages9-12
Number of pages4
DOIs
StatePublished - Dec 1 2007
Event41st Asilomar Conference on Signals, Systems and Computers, ACSSC - Pacific Grove, CA, United States
Duration: Nov 4 2007Nov 7 2007

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other41st Asilomar Conference on Signals, Systems and Computers, ACSSC
Country/TerritoryUnited States
CityPacific Grove, CA
Period11/4/0711/7/07

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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