An automatic segmentation method of the spinal canal from clinical MR images based on an attention model and an active contour model

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2011, Pages 1467-1471

  Koh, Jaehan ^a   Scott, Peter D ^a   Chaudhary, Vipin ^a   Dhillon, Gurmeet ^b  

^a the State University of New York   (United States)

^b Proscan Imaging of Buffalo   (United States)

Author keywords

active contour; level set; saliency map; segmentation; spinal canal

Indexed keywords

ACTIVE CONTOUR MODEL; ACTIVE CONTOURS; ATTENTION MODEL; AUTOMATIC SEGMENTATIONS; CLINICAL MANAGEMENT; DEGENERATIVE DISEASE; HUMAN INTERVENTION; IMAGING TECHNOLOGY; INFLAMMATORY DISEASE; INTERNAL ORGANS; LEVEL SET; MR IMAGES; SAGITTAL PLANE; SALIENCY MAP; SCANNED IMAGES; SEGMENTATION METHODS; SIMILARITY INDICES; SPINAL CANALS; SPINAL CORD INJURY; SPINAL CORDS; UNSUPERVISED SEGMENTATION METHOD;

DOSIMETRY; HYDRAULIC STRUCTURES; MAGNETIC RESONANCE; MEDICAL IMAGING; RADIOLOGY; TISSUE;

IMAGE SEGMENTATION;

EID: 80055030660     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2011.5872677     Document Type: Conference Paper

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