Fuzzy C-means clustering analysis to monitor tissue perfusion with near infrared imaging

Jeffrey Wallace, N. Homayoun Mozaffari, Li Pan, Nitish V. Thakor

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

Abstract

During surgery, conventional or minimally invasive, a surgeon.s ability to identify biological tissue properties is critical. Near Infrared (NIR) Imaging, a continuous, non-invasive imaging modality, offers a surgeon an augmented perception of the tissue characteristics (oxygenation, edema, etc.) In this paper, we present our NIR imaging setup and cluster analysis for localizing areas of similar NIR light absorbance, which relates directly to the tissue.s Hb, HbO2, and H2O content. Through NIR imaging, a surgeon is equipped with auxiliary information to determine the extent and location of tissue injury.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings
EditorsWiro J. Niessen, Max A. Viergever
PublisherSpringer Verlag
Pages1213-1214
Number of pages2
ISBN (Print)3540426973, 9783540454687
DOIs
StatePublished - Jan 1 2001
Event4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001 - Utrecht, Netherlands
Duration: Oct 14 2001Oct 17 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2208
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001
CountryNetherlands
CityUtrecht
Period10/14/0110/17/01

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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