Document Detail


Reconstruction of tissue heterogeneity by near infrared imaging: a novel algorithm and benchtop validation.
MedLine Citation:
PMID:  17282909     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
A novel algorithm has been developed for Near Infrared (NIR) imaging of tissue optical properties with embedded heterogeneity. The algorithm was based on the optical measurements of the absorption perturbation by a matrix of multiple source detector pairs. Direct superimposition algorithm was used to calculate the two dimensional projected image of the tissue absorption. This absorption map is then compared with that of the homogenous phantom in order to reconstruct the absorption perturbation caused by the embedded object. Benchtop setup has been developed to validate this reconstruction scheme. Simulating tumors made of gelatin cylinders of high absorption coefficients were placed inside a homogenous intralipid phantom of specific background absorption. The depth of the tumor was adjusted at different levels and the diffuse reflectance was measured by a tissue imager consisting of a matrix of 4 sources and 4 detectors. The measured absorption coefficients were compared with the actual tumor absorption coefficients at different tumor depths in order to determine the reconstruction accuracy.
Authors:
Bo Qiang; Abdul Rana; Ronald Xu
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  3     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2005  
Date Detail:
Created Date:  2007-02-06     Completed Date:  2012-10-02     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3137-40     Citation Subset:  -    
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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