Automated detection of white matter signal abnormality using T2 relaxometry: Application to brain segmentation on term MRI in very preterm infants

NeuroImage

Volumn 64, Issue 1, 2013, Pages 328-340

  He, Lili ^a   Parikh, Nehal A ^a,b  

^a THE RESEARCH INSTITUTE AT NATIONWIDE CHILDREN S HOSPITAL   (United States)

^b THE OHIO STATE UNIVERSITY COLLEGE OF MEDICINE   (United States)

Author keywords

Brain segmentation; Diffuse excessive high signal intensity (DEHSI); Extremely low birth weight infants; Magnetic resonance imaging; T2 relaxometry; White matter signal abnormalities (WMSA)

Indexed keywords

ARTICLE; AUTOMATION; BRAIN TISSUE; CEREBROSPINAL FLUID; CLINICAL ARTICLE; COMPUTER SIMULATION; DEVELOPMENTAL STAGE; DIAGNOSTIC IMAGING; DIAGNOSTIC TEST; DIFFUSE EXCESSIVE HIGH SIGNAL INTENSITY; DIFFUSION WEIGHTED IMAGING; DISEASE SEVERITY; HUMAN; HUMAN TISSUE; IN VIVO STUDY; INFANT; MAGNETIC FIELD; NUCLEAR MAGNETIC RESONANCE IMAGING; PREMATURITY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SIMULATION; SUSCEPTIBILITY WEIGHTED IMAGING; T2 RELAXOMETRY; WATER CONTENT; WHITE MATTER LESION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFANT, EXTREMELY PREMATURE; MALE; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84867475394     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.08.081     Document Type: Article

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