Document Detail


Detection and analysis of the intestinal ischemia using visible and invisible hyperspectral imaging.
MedLine Citation:
PMID:  20460203     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Intestinal ischemia, or inadequate blood flow to the intestine, is caused by a variety of disorders and conditions. The quickness with which the problem is brought to medical attention for diagnosis and treatment has great effects on the outcome of ischemic injury. Recently, hyperspectral sensors have advanced and emerged as compact imaging tools that can be utilized in medical diagnostics. Hyperspectral imaging provides a powerful tool for noninvasive tissue analyses. In this paper, the hyperspectral camera, with visible and invisible wavelengths, has been evaluated for detection and analysis of intestinal ischemia during surgeries. This technique can help the surgeon to quickly find ischemic tissues. Two cameras, a visible-to-near-infrared camera (400-1000 nm) and an infrared camera (900-1700 nm) were used to capture the hyperspectral images. Vessels supplying an intestinal segment of a pig were clamped to simulate ischemic conditions. A key wavelength range that provides the best differentiation between normal and ischemic intestine was determined from all wavelengths that potentially reduces the amount of data collected in subsequent work. The data were classified using two filters that were designed to discriminate the ischemic intestinal regions.
Authors:
Hamed Akbari; Yukio Kosugi; Kazuyuki Kojima; Naofumi Tanaka
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Publication Detail:
Type:  Journal Article     Date:  2010-05-10
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  57     ISSN:  1558-2531     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2010 Aug 
Date Detail:
Created Date:  2010-07-27     Completed Date:  2010-11-05     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2011-7     Citation Subset:  IM    
Affiliation:
Tokyo Institute of Technology, Yokohama 226-8502, Japan. hakbari@emory.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Animals
Diagnostic Imaging / methods*
Infrared Rays
Intestines / blood supply*
Ischemia / physiopathology*
Photography / methods*
Swine

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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