Automated region detection based on the contrast-to-noise ratio in near-infrared tomography

Applied Optics

Volumn 43, Issue 5, 2004, Pages 1053-1062

  Song, Xiaomei ^a   Pogue, Brian W ^a   Jiang, Shudong ^a   Doyley, Marvin M ^a,b   Dehghani, Hamid ^a   Tosteson, Tor D ^c   Paulsen, Keith D ^a  

^a DARTMOUTH COLLEGE   (United States)

^b DARTMOUTH MEDICAL SCHOOL   (United States)

^c DARTMOUTH HITCHCOCK MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CHROMOPHORES; COMPUTER SIMULATION; CONVOLUTION; DEFORMATION; IMAGE RECONSTRUCTION; INFRARED RADIATION; SPURIOUS SIGNAL NOISE; TISSUE; WATER;

CONTRAST-TO-NOISE RATIO (CNR); NEAR-INFRARED TOMOGRAPHY;

TOMOGRAPHY;

ARTICLE; ARTIFACT; COMPUTER SIMULATION; EQUIPMENT DESIGN; HUMAN; IMAGE PROCESSING; IMAGE QUALITY; INFRARED RADIATION; INSTRUMENTATION; NEAR INFRARED SPECTROSCOPY; THEORETICAL MODEL; TOMOGRAPHY;

ARTIFACTS; COMPUTER SIMULATION; EQUIPMENT DESIGN; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INFRARED RAYS; MODELS, THEORETICAL; PHANTOMS, IMAGING; SPECTROSCOPY, NEAR-INFRARED; TOMOGRAPHY;

EID: 1442307299     PISSN: 1559128X     EISSN: 15394522     Source Type: Journal    
DOI: 10.1364/AO.43.001053     Document Type: Article

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