Coupling oriented hidden Markov random field model with local clustering for segmenting blood vessels and measuring spatial structures in images of tumor microenvironment

Yanqiao Zhu, Fuhai Li, Derek Cridebring, Jinwen Ma, Stephen T C Wong, Tegy J. Vadakkan, Mei Zhang, John Landua, Wei Wei, Mary E. Dickinson, Jeffrey M. Rosen, Michael T. Lewis

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

7 Scopus citations

Abstract

Interactions between cancer cells and factors within the tumor microenvironment (mE) are essential for understanding tumor development. The spatial relationships between blood vessel cells and cancer cells, e.g. tumor initiating cells (TICs), are an important parameter. Accurate segmentation of blood vessel is necessary for the quantization of their spatial relationships. However, this remains an open problem due to uneven intensity and low signal to noise ratio (SNR). To overcome these challenges, we propose a novel approach that integrates an oriented hidden Markov random field model (Ori-HMRF) with local clustering. The local clustering delineates boundaries of blood vessel segments with low SNR. Then blood vessel segments are viewed as random variables in the Ori-HMRF and their spatial dependence is defined based on directional information. The Ori-HMRF model suppresses noise and generates accurate blood vessel segmentation results. Experimental validations were conducted on both normal mammary and breast cancer tissues.

Original languageEnglish (US)
Title of host publicationProceedings - 2011 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011
Pages352-357
Number of pages6
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011 - Atlanta, GA, United States
Duration: Nov 12 2011Nov 15 2011

Publication series

NameProceedings - 2011 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011

Other

Other2011 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011
CountryUnited States
CityAtlanta, GA
Period11/12/1111/15/11

Keywords

  • blood vessel segmentation
  • hidden Markov random field
  • superpixel
  • tumor microenvironment

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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