Reflectance-based determination of optical properties in highly attenuating tissue

Journal of Biomedical Optics

Volumn 8, Issue 2, 2003, Pages 206-215

  Pfefer, T Joshua ^a   Matchette, L Stephanie ^a   Bennett, Carrie L ^b   Gall, Jessica A ^b   Wilke, Joy N ^b   Durkin, Anthony J ^c   Ediger, Marwood N ^a  

^a CENTER FOR DRUG EVALUATION AND RESEARCH   (United States)

^b Marquette University and Medical College of Wisconsin   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Fiber optic sensors; Neural networks; Optical properties; Reflectance; Simulations; Tissue optics

Indexed keywords

ABSORPTION SPECTROSCOPY; COMPUTER SIMULATION; ENDOSCOPY; FIBER OPTIC SENSORS; MONTE CARLO METHODS; NEURAL NETWORKS; OPTICAL PROPERTIES; OPTICS; SPECTROSCOPIC ANALYSIS; TISSUE; ULTRAVIOLET SPECTROSCOPY;

ABSORPTION SCATTERING COEFFICIENT; BIOMEDICAL OPTICAL SPECTROSCOPY; IN VIVO TISSUE OPTICAL PROPERTIES; REDUCED SCATTERING COEFFICIENT;

BIOMEDICAL ENGINEERING;

BOVINAE;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; CALIBRATION; CATTLE; COMPUTER ASSISTED DIAGNOSIS; ENDOSCOPY; EVALUATION; IMAGE ENHANCEMENT; IMAGE QUALITY; IN VITRO STUDY; INSTRUMENTATION; LIGHT; LIVER; METHODOLOGY; OPTICAL TOMOGRAPHY; PHYSIOLOGY; RADIATION SCATTERING; SPECTROSCOPY; STANDARD; VALIDATION STUDY;

ALGORITHMS; ANIMALS; CALIBRATION; CATTLE; ENDOSCOPY; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIGHT; LIVER; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); PHANTOMS, IMAGING; SCATTERING, RADIATION; SPECTRUM ANALYSIS; TOMOGRAPHY, OPTICAL;

EID: 0038269026     PISSN: 10833668     EISSN: None     Source Type: Journal    
DOI: 10.1117/1.1559487     Document Type: Article

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