AdaPT: An adaptive preterm segmentation algorithm for neonatal brain MRI

• Published in: NeuroImage (Orlando, Fla.) Vol. 65; pp. 97 - 108
• Main Authors: Cardoso, M. Jorge, Melbourne, Andrew, Kendall, Giles S., Modat, Marc, Robertson, Nicola J., Marlow, Neil, Ourselin, Sebastien
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Inc 15.01.2013; Elsevier; Elsevier Limited
• Subjects: Algorithms; Bayesian analysis; Biological and medical sciences; Brain; Brain - pathology; Expectation-maximisation; Female; Fundamental and applied biological sciences. Psychology; Humans; Image Interpretation, Computer-Assisted - methods; Infant, Extremely Premature; Infant, Newborn; Male; Manual segmentation; Models, Theoretical; Pattern Recognition, Automated - methods; Prior relaxation; Registration; Ventriculomegaly; Vertebrates: nervous system and sense organs; Expectation-maximisation; Manual segmentation; Ventriculomegaly; Prior relaxation; Registration; Segmentation; Central nervous system; Nuclear magnetic resonance imaging; Encephalon

Advances in neonatal care have improved the survival of infants born prematurely although these infants remain at increased risk of adverse neurodevelopmental outcome. The measurement of white matter structure and features of the cortical surface can help define biomarkers that predict this risk. Th...