Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus

Medical Image Analysis

Volumn 14, Issue 1, 2010, Pages 39-49

  van Rikxoort, Eva M ^a   Isgum, Ivana ^a   Arzhaeva, Yulia ^a   Staring, Marius ^a   Klein, Stefan ^a   Viergever, Max A ^a   Pluim, Josien P W ^a   van Ginneken, Bram ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

Atlas selection; Local; Multi atlas; Segmentation; Stopping criterion

Indexed keywords

ATLAS-BASED SEGMENTATION; BRAIN MRI; COMPUTATIONAL COSTS; COMPUTED TOMOGRAPHY SCAN; ONE STEP; SEGMENTATION METHODS; SEGMENTATION PERFORMANCE; SEGMENTATION PROCESS; STOPPING CRITERIA; TARGET IMAGES; VOLUMETRIC DATA; VOLUMETRIC IMAGES;

COMPUTERIZED TOMOGRAPHY; TOMOGRAPHY; VOLUMETRIC ANALYSIS;

TARGETS;

ARTICLE; AUTOMATION; CAUDATE NUCLEUS; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; HEART; IMAGE DISPLAY; IMAGE PROCESSING; IMAGING SYSTEM; MATHEMATICAL COMPUTING; NUCLEAR MAGNETIC RESONANCE IMAGING; ONLINE SYSTEM; PRIORITY JOURNAL; STANDARDIZATION; TECHNIQUE; THORAX RADIOGRAPHY; VOLUMETRY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CAUDATE NUCLEUS; HEART; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 70450278747     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2009.10.001     Document Type: Article

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