Graph-based multi-surface segmentation of OCT data using trained hard and soft constraints

IEEE Transactions on Medical Imaging

Volumn 32, Issue 3, 2013, Pages 531-543

  Dufour, Pascal A ^a,b   Ceklic, Lala ^b,c   Abdillahi, Hannan ^b,c   Schroder, Simon ^b,c   De Dzanet, Sandro ^a,b   Wolf Schnurrbusch, Ute ^b,c   Kowal, Jens ^a,b  

^a UNIVERSITY OF BERN   (Switzerland)

^b UNIVERSITY OF BERN   (Switzerland)

^c Bern Photographic Reading Center   (Switzerland)

Author keywords

Ophthalmology; Optical coherence tomography (OCT); Optimal net surface problems; Retina; Segmentation

Indexed keywords

AUTOMATIC EVALUATION; HARD AND SOFT CONSTRAINTS; INTEROBSERVER VARIABILITY; LOW SIGNAL-TO-NOISE RATIO; RETINA; SEGMENTATION ACCURACY; SEGMENTATION ALGORITHMS; SURFACE PROBLEMS;

GRAPHIC METHODS; IMAGE SEGMENTATION; OPHTHALMOLOGY;

OPTICAL TOMOGRAPHY;

ACCURACY; ALGORITHM; ARTICLE; B SCAN; COST; DRUSEN; HUMAN; IMAGE QUALITY; OPTICAL COHERENCE TOMOGRAPHY; RETINA; RETINA MACULA AGE RELATED DEGENERATION; SIGNAL NOISE RATIO; SURFACE PROPERTY; WEIGHT; BIOLOGICAL MODEL; FACTUAL DATABASE; HISTOLOGY; IMAGE PROCESSING; METHODOLOGY; PATHOLOGY; RETINA MACULA DEGENERATION; STATISTICAL MODEL; VISUAL SYSTEM EXAMINATION;

ALGORITHMS; DATABASES, FACTUAL; DIAGNOSTIC TECHNIQUES, OPHTHALMOLOGICAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACULAR DEGENERATION; MODELS, BIOLOGICAL; MODELS, STATISTICAL; RETINA; RETINAL DRUSEN; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 84874884418     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2012.2225152     Document Type: Article

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