Computed simultaneous imaging of multiple biomarkers

Yue Wang, Jianhua Xuan, Rujirutana Srikanchana, Junying Zhang, Zsolt Szabo, Zaver Bhujwalla, Peter Choyke, King Li

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


Functional-molecular imaging techniques promise powerful tools for the visualization and elucidation of important disease-causing physiologic-molecular processes in living tissue. Most applications aim to find temporal-spatial patterns assocaited with different disease stages. When multiple agents are used, imagery signals often represent a composite of more than one distinct source due to functional-molecular biomarker heterogeneity, independent of spatial resolution. We therefore introduce a hybrid decomposition algorithm which allows for a computed simultaneous imaging of multiple biomarkers. The method is based on a combination of time-activity curve clustering, pixel subset selection, and independent component analysis. We demonstrate the principle of the approach on an image data set, and we then apply the method to the tumor vascular characterization using dynamic contrast-enhanced magnetic resonance imaging and brain neuro-transporter imaging using dynamic positron emission tomography.

Original languageEnglish (US)
Title of host publication2003 IEEE 13th Workshop on Neural Networks for Signal Processing, NNSP 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages10
ISBN (Electronic)0780381777
StatePublished - 2003
Externally publishedYes
Event13th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2003 - Toulouse, France
Duration: Sep 17 2003Sep 19 2003

Publication series

NameNeural Networks for Signal Processing - Proceedings of the IEEE Workshop


Other13th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2003

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Software
  • Computer Networks and Communications
  • Signal Processing


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