Semiautomated segmentation of the human spine based on echoplanar images

Magnetic Resonance Imaging

Volumn 29, Issue 10, 2011, Pages 1429-1436

  Giulietti, Giovanni ^a   Summers, Paul E ^b   Ferraro, Diana ^b   Porro, Carlo A ^b   Maraviglia, Bruno ^a,c   Giove, Federico ^a,c  

^a IRCCS FONDAZIONE SANTA LUCIA   (Italy)

^b UNIVERSITY OF MODENA AND REGGIO EMILIA   (Italy)

^c SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

EPI; FMRI; K means; Segmentation; Spinal cord; Temporal standard deviation

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; AUTOMATION; CERVICAL SPINE; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; ECHO PLANAR IMAGING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE PROCESSING; INTERMETHOD COMPARISON; NEUROIMAGING; NORMAL HUMAN; PRIORITY JOURNAL; SEGMENTATION ALGORITHM; SPINAL CORD; VERTEBRAL CANAL;

ADULT; ALGORITHMS; ECHO-PLANAR IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPINE; YOUNG ADULT;

EID: 82455220864     PISSN: 0730725X     EISSN: 18735894     Source Type: Journal    
DOI: 10.1016/j.mri.2011.08.006     Document Type: Article

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