Automatic segmentation of the spinal cord and the dural sac in lumbar MR images using gradient vector flow field

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 3117-3120

  Koh, Jaehan ^a   Kim, Taehyong ^a   Chaudhary, Vipin ^b   Dhillon, Gurmeet ^c  

^a University at Buffalo ^*  (United States)

^b UNIVERSITY AT BUFFALO   (United States)

^c Proscan Imaging of Buffalo   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SEGMENTATIONS; CONNECTED COMPONENT ANALYSIS; DIAGNOSTIC PERFORMANCE; GRADIENT VECTOR FLOW; HUMAN INTERVENTION; LUMBAR SPINES; MR IMAGES; SEGMENTATION METHODS; SEGMENTATION RESULTS; SIMILARITY INDICES; SPINAL CORDS; STANDARD DEVIATION;

COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; DOSIMETRY; FEATURE EXTRACTION; MAGNETIC RESONANCE; MEDICAL IMAGING; MEDICINE;

IMAGE SEGMENTATION;

ADULT; AGED; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DURA MATER; EVALUATION STUDY; FEMALE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; LUMBAR VERTEBRA; MALE; METHODOLOGY; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SPINAL CORD; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ARTIFICIAL INTELLIGENCE; DURA MATER; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LUMBAR VERTEBRAE; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPINAL CORD;

EID: 78650820335     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626097     Document Type: Conference Paper

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