Prior shape level set segmentation on multistep generated probability maps of MR datasets for fully automatic kidney parenchyma volumetry

IEEE Transactions on Medical Imaging

Volumn 31, Issue 2, 2012, Pages 312-325

  Gloger, Oliver ^a   Tönnies, Klaus Dietz ^b   Liebscher, Volkmar ^a   Kugelmann, Bernd ^a   Laqua, Rene ^a   Volzke, Henry ^a  

^a UNIVERSITY OF GREIFSWALD   (Germany)

^b OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

Bayesian probability; distance transform; Fourier descriptors; prior shape; three dimensional (3 D) level set segmentation

Indexed keywords

BAYESIAN PROBABILITIES; DISTANCE TRANSFORMS; FOURIER DESCRIPTORS; LEVEL SET SEGMENTATION; PRIOR SHAPE;

ALIGNMENT; MAGNETIC RESONANCE; NUMERICAL METHODS; PROBABILITY; TISSUE;

THREE DIMENSIONAL;

ADULT; AGED; ALGORITHM; ARTICLE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FEMALE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; KIDNEY; MALE; METHODOLOGY; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ADULT; AGED; ALGORITHMS; COMPUTER SIMULATION; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; KIDNEY; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, ANATOMIC; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84856723297     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2011.2168609     Document Type: Article

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