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

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

doi:10.1007/3-540-45468-3_167

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

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

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings
Editors	Wiro J. Niessen, Max A. Viergever
Publisher	Springer Verlag
Pages	1213-1214
Number of pages	2
ISBN (Print)	3540426973, 9783540454687
DOIs	https://doi.org/10.1007/3-540-45468-3_167
State	Published - 2001
Event	4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001 - Utrecht, Netherlands Duration: Oct 14 2001 → Oct 17 2001

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2208
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001
Country/Territory	Netherlands
City	Utrecht
Period	10/14/01 → 10/17/01

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-45468-3_167

Cite this

Wallace, J., Homayoun Mozaffari, N., Pan, L., & Thakor, N. V. (2001). Fuzzy C-means clustering analysis to monitor tissue perfusion with near infrared imaging. In W. J. Niessen, & M. A. Viergever (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings (pp. 1213-1214). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2208). Springer Verlag. https://doi.org/10.1007/3-540-45468-3_167

Fuzzy C-means clustering analysis to monitor tissue perfusion with near infrared imaging. / Wallace, Jeffrey; Homayoun Mozaffari, N.; Pan, Li et al.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings. ed. / Wiro J. Niessen; Max A. Viergever. Springer Verlag, 2001. p. 1213-1214 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2208).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wallace, J, Homayoun Mozaffari, N, Pan, L & Thakor, NV 2001, Fuzzy C-means clustering analysis to monitor tissue perfusion with near infrared imaging. in WJ Niessen & MA Viergever (eds), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2208, Springer Verlag, pp. 1213-1214, 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001, Utrecht, Netherlands, 10/14/01. https://doi.org/10.1007/3-540-45468-3_167

Wallace J, Homayoun Mozaffari N, Pan L, Thakor NV. Fuzzy C-means clustering analysis to monitor tissue perfusion with near infrared imaging. In Niessen WJ, Viergever MA, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings. Springer Verlag. 2001. p. 1213-1214. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45468-3_167

Wallace, Jeffrey ; Homayoun Mozaffari, N. ; Pan, Li et al. / Fuzzy C-means clustering analysis to monitor tissue perfusion with near infrared imaging. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings. editor / Wiro J. Niessen ; Max A. Viergever. Springer Verlag, 2001. pp. 1213-1214 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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

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