A pyramidal approach for automatic segmentation of multiple sclerosis lesions in brain MRI

Computerized Medical Imaging and Graphics

Volumn 22, Issue 5, 1998, Pages 399-408

  Pachai, C ^a   Zhu, Y M ^a,d   Grimaud, J ^b,e,f   Hermier, M ^c,e   Dromigny Badin, A ^a   Boudraa, A ^a   Gimenez, G ^a   Confavreux, C ^b,f   Froment, J C ^c  

^a CNRS   (France)

^b Hop Neurologique Neurochirurgical ^*  (France)

^c Neuroradiology   (France)

^d Huazon Institute of Technology   (China)

^e UNIVERSITÉ LYON 1   (France)

^f Hopital de l'Antiquaille   (France)

Author keywords

Image analysis; MRI; Multiple sclerosis; Multiresolution; Pyramid; Segmentation

Indexed keywords

ALGORITHMS; BRAIN; DATA STRUCTURES; IMAGE ANALYSIS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING;

SCLEROSIS LESIONS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; IMAGE ANALYSIS; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL;

ALGORITHMS; BRAIN DISEASES; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; LIKELIHOOD FUNCTIONS; MAGNETIC RESONANCE IMAGING; MULTIPLE SCLEROSIS; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 0032172611     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0895-6111(98)00049-4     Document Type: Article

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