Four-Wavelength Near-Infrared Imaging of Abdominal Aorta Blood Flow under Surgical Occlusion

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CBMS
2004
17th IEEE Symposium on Computer-Based Medical Systems (CBMS'04)
Abstract - Four-Wavelength Near-Infrared Imaging of Abdominal Aorta Blood Flow under Surgical Occlusion

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17th IEEE Symposium on Computer-Based Medical Systems (CBMS'04)

Bethesda, Maryland

June 24-June 25

ISBN: 0-7695-2104-5

	ASCII Text	x
	William W. Lau, Homayoun Mozaffari-Naeini, Nitish V. Thakor, "Four-Wavelength Near-Infrared Imaging of Abdominal Aorta Blood Flow under Surgical Occlusion," Computer-Based Medical Systems, IEEE Symposium on, pp. 373, 17th IEEE Symposium on Computer-Based Medical Systems (CBMS'04), 2004.

	BibTex	x
	@article{ 10.1109/CBMS.2004.1311742, author = {William W. Lau and Homayoun Mozaffari-Naeini and Nitish V. Thakor}, title = {Four-Wavelength Near-Infrared Imaging of Abdominal Aorta Blood Flow under Surgical Occlusion}, journal ={Computer-Based Medical Systems, IEEE Symposium on}, volume = {0}, year = {2004}, issn = {1063-7125}, pages = {373}, doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2004.1311742}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer-Based Medical Systems, IEEE Symposium on TI - Four-Wavelength Near-Infrared Imaging of Abdominal Aorta Blood Flow under Surgical Occlusion SN - 1063-7125 SP EP A1 - William W. Lau, A1 - Homayoun Mozaffari-Naeini, A1 - Nitish V. Thakor, PY - 2004 KW - null VL - 0 JA - Computer-Based Medical Systems, IEEE Symposium on ER -

William W. Lau, Johns Hopkins University, Baltimore, MD

Homayoun Mozaffari-Naeini, Johns Hopkins University, Baltimore, MD

Nitish V. Thakor, Johns Hopkins University, Baltimore, MD

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2004.1311742

This paper presents a four-wavelength near-infrared imaging system that can assist surgeons with intraoperative monitoring and imaging of blood flow of the vessel being occluded. The algorithm for this system, based on the Beer-Lambert law, calculates the relative concentrations of deoxyhemoglobin, oxyhemoglobin and water, which are the major NIR absorbers in tissues. Regional blood volume and oxygen saturation can be determined from these measurements. This proof-of-concept study investigated the utility of the algorithm on detecting rat infrarenal abdominal aortic blood flow subjected to various degrees of occlusion. The images provided a good visualization of the aorta because of the high concentration of oxyhemoglobin in the blood stream. The imager was able to detect when blood flow was completely stopped. Average intensity values of the blood volume images correlated well with the laser Doppler recordings.

Citation:

William W. Lau, Homayoun Mozaffari-Naeini, Nitish V. Thakor, "Four-Wavelength Near-Infrared Imaging of Abdominal Aorta Blood Flow under Surgical Occlusion," cbms, pp.373, 17th IEEE Symposium on Computer-Based Medical Systems (CBMS'04), 2004

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