title: A challenging issue: Detection of white matter hyperintensities in neonatal brain MRI.
abstract: The progress of magnetic resonance imaging (MRI) allows for a precise exploration of the brain of premature infants at term equivalent age. The so-called DEHSI (diffuse excessive high signal intensity) of the white matter of premature brains remains a challenging issue in terms of definition, and thus of interpretation. We propose a semi-automatic detection and quantification method of white matter hyperintensities in MRI relying on morphological operators and max-tree representations, which constitutes a powerful tool to help radiologists to improve their interpretation. Results show better reproducibility and robustness than interactive segmentation.
authors.forename: Baptiste
authors.initials: B
authors.lastname: Morel
authors.lastname: Yongchao Xu
authors.forename: Alessio
authors.initials: A
authors.lastname: Virzi
authors.forename: Thierry
authors.initials: T
authors.lastname: Geraud
authors.forename: Catherine
authors.initials: C
authors.lastname: Adamsbaum
authors.forename: Isabelle
authors.initials: I
authors.lastname: Bloch
mesh_terms: D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007223:Infant; D007231:Infant, Newborn; D007234:Infant, Premature; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015203:Reproducibility of Results; D066127:White Matter / Q000000981:diagnostic imaging*