Gaussian mixture model-based segmentation of MR images taken from premature infant brains

Journal of Neuroscience Methods

Volumn 182, Issue 1, 2009, Pages 110-122

  Merisaari, Harri ^a,b   Parkkola, Riitta ^a,b   Alhoniemi, Esa ^a   Teräs, Mika ^b   Lehtonen, Liisa ^a   Haataja, Leena ^a   Lapinleimu, Helena ^a   Nevalainen, Olli S ^a  

^a UNIVERSITY OF TURKU   (Finland)

^b TURKU UNIVERSITY HOSPITAL   (Finland)

Author keywords

Cerebrospinal fluid segmentation; Premature infant MRI; Watershed method

Indexed keywords

ARTICLE; BRAIN; BRAIN TISSUE; CEREBROSPINAL FLUID; CLINICAL ARTICLE; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; INFANT; NEUROANATOMY; NORMAL DISTRIBUTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PREMATURITY; PRIORITY JOURNAL; SIGNAL NOISE RATIO;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFANT, NEWBORN; INFANT, PREMATURE; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 67650269369     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2009.05.026     Document Type: Article

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