Segmentation of intensity inhomogeneous brain MR images using active contours

Computational and Mathematical Methods in Medicine

Volumn 2014, Issue , 2014, Pages

  Akram, Farhan ^a   Kim, Jeong Heon ^b   Lim, Han Ul ^c   Choi, Kwang Nam ^c  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

^b Korea Institute of Science and Technology Information (KISTI)   (South Korea)

^c Chung Ang University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

MAGNETIC RESONANCE IMAGING;

ACTIVE CONTOUR METHOD; GRADIENT INFORMATIONS; INHOMOGENEOUS IMAGES; INTENSITY INHOMOGENEITY; LEVEL SET FUNCTIONS; REGION BASED ACTIVE CONTOURS; SEGMENTATION RESULTS; SIGNED PRESSURE FORCES;

IMAGE SEGMENTATION;

ALGORITHM; ANATOMIC MODEL; ARTICLE; BRAIN CORTEX; CEREBROSPINAL FLUID; FORCE; GRAY MATTER; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE SEGMENTATION; KERNEL METHOD; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; RADIOLOGICAL PARAMETERS; WHITE MATTER; ARTIFACT; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; NORMAL DISTRIBUTION; PATHOLOGY; PROCEDURES; STATISTICAL MODEL;

ALGORITHMS; ARTIFACTS; BRAIN; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED;

EID: 84925883515     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2014/194614     Document Type: Article

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