Optimizing the use of radiologist seed points for improved multiple sclerosis lesion segmentation

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 11, 2010, Pages 2689-2698

  McAusland, Jon ^a   Tam, Roger C ^a   Wong, Erick ^a   Riddehough, Andrew ^a   Li, David K B ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Magnetic resonance imaging (MRI); multiple sclerosis (MS); seed points; segmentation; white matter lesions (WMLs)

Indexed keywords

HEURISTIC METHODS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING;

DICE COEFFICIENT; MULTIPLE SCLEROSIS; MULTIPLE SCLEROSIS LESIONS; REGION GROWING METHODS; SEED POINT; SEGMENTATION ACCURACY; STRATIFIED ANALYSIS; WHITE MATTER LESIONS;

OPTIMIZATION;

ACCURACY; ARTICLE; CORRELATION COEFFICIENT; DIAGNOSTIC PROCEDURE; EVALUATION; MULTIPLE SCLEROSIS; NERVE LESION; NUCLEAR MAGNETIC RESONANCE IMAGING; RADIOLOGIST;

EID: 77958121867     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2055865     Document Type: Article

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