Knowledge-based 3D segmentation of the brain in MR images for quantitative multiple sclerosis lesion tracking

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3034, Issue , 1997, Pages 19-25

  Fisher, Elizabeth ^a   Cothren, Robert M ^a   Tkach, Jean A ^a   Masaryk, Thomas J ^a   Cornhill, J Fredrick ^a  

^a LERNER RESEARCH INSTITUTE   (United States)

Author keywords

Brain segmentation; Magnetic resonance imaging; Multiple sclerosis

Indexed keywords

ATOMS; DIGITAL IMAGE STORAGE; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SEGMENTATION; IMAGING SYSTEMS; KNOWLEDGE BASED SYSTEMS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; RESONANCE; THREE DIMENSIONAL; TITRATION; VOLUME MEASUREMENT;

3D SEGMENTATIONS; AUTOMATED TECHNIQUES; AVERAGE ERRORS; BRAIN SEGMENTATION; BRAIN VOLUMES; COEFFICIENT OF VARIATIONS; INTENSITY VARIATIONS; KNOWLEDGE-BASED; MANUAL TRACINGS; MR IMAGES; MULTIPLE IMAGES; MULTIPLE SCLEROSIS; MULTIPLE SCLEROSIS LESIONS; NEW ALGORITHMS; OPTIMAL THRESHOLDING; PARTIAL VOLUME EFFECTS; PRIORI KNOWLEDGES; QUANTITATIVE ANALYSES; SEGMENTATION RESULTS; SPATIAL RELATIONSHIPS; USER INTERACTIONS;

MEDICAL IMAGING;

EID: 0000842125     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.274117     Document Type: Conference Paper

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