Automated quantification of microstructural dimensions of the human kidney using optical coherence tomography (OCT)

Optics Express

Volumn 17, Issue 18, 2009, Pages 16000-16016

  Li, Qian ^a   Onozato, Maristela L ^b   Andrews, Peter M ^b   Chen, Chao Wei ^a   Paek, Andrew ^a   Naphas, Renee ^a   Yuan, Shuai ^a   Jiang, James ^c   Cable, Alex ^c   Chen, Yu ^a  

^a UNIVERSITY OF MARYLAND   (United States)

^b GEORGETOWN UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c THORLABS INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD VESSELS; IMAGE SEGMENTATION; MORPHOLOGY; TOMOGRAPHY;

ANATOMIC STRUCTURES; AUTOMATIC IMAGE ANALYSIS; AUTOMATIC SELECTION; CROSS-SECTIONAL OCT IMAGES; HIGH RESOLUTION IMAGE; MORPHOMETRIC PARAMETERS; SPATIALLY RESOLVED; TUBULAR MORPHOLOGY;

OPTICAL TOMOGRAPHY;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; IMAGE ENHANCEMENT; KIDNEY; METHODOLOGY; OPTICAL COHERENCE TOMOGRAPHY; RAT; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; WISTAR RAT;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; KIDNEY; PATTERN RECOGNITION, AUTOMATED; RATS; RATS, WISTAR; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 69949087443     PISSN: None     EISSN: 10944087     Source Type: Journal    
DOI: 10.1364/OE.17.016000     Document Type: Article

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