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Volumn 35, Issue 5, 2008, Pages 1682-1697
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Implementation of a computationally efficient least-squares algorithm for highly under-determined three-dimensional diffuse optical tomography problems
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Author keywords
Diffuse optical tomography; Image reconstruction; Inverse problems; Least squares minimization; Near infrared; Three dimensional imaging
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Indexed keywords
COMPUTATIONAL EFFICIENCY;
GEOMETRICAL OPTICS;
IMAGE ENHANCEMENT;
IMAGE RECONSTRUCTION;
IMAGING SYSTEMS;
INFRARED DEVICES;
ITERATIVE METHODS;
LEAST SQUARES APPROXIMATIONS;
MATRIX ALGEBRA;
OPTICAL PROPERTIES;
OPTICAL TESTING;
OPTICAL TOMOGRAPHY;
PARAMETER ESTIMATION;
PHOTOMULTIPLIERS;
COMPUTATIONALLY EFFICIENT;
DIFFUSE OPTICAL TOMOGRAPHY;
GENERALIZED LEAST SQUARE;
LEAST SQUARES MINIMIZATION;
NEAR INFRARED;
RECONSTRUCTION ALGORITHMS;
THREE DIMENSIONAL IMAGING;
THREE-DIMENSIONAL RECONSTRUCTION;
INVERSE PROBLEMS;
ALGORITHM;
ARTICLE;
DIFFUSE OPTICAL TOMOGRAPHY;
IMAGE RECONSTRUCTION;
OPTICAL TOMOGRAPHY;
PHANTOM;
PRIORITY JOURNAL;
REGRESSION ANALYSIS;
THREE DIMENSIONAL IMAGING;
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EID: 42949114266
PISSN: 00942405
EISSN: None
Source Type: Journal
DOI: 10.1118/1.2889778 Document Type: Article |
Times cited : (17)
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References (51)
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