A challenging issue: detection of white matter hyperintensities in neonatal brain MRI

Autor: Catherine Adamsbaum, Alessio Virzi, Isabelle Bloch, Thierry Géraud, Baptiste Morel, Yongchao Xu
Přispěvatelé: Image, Modélisation, Analyse, GEométrie, Synthèse (IMAGES), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Département Traitement du Signal et des Images (TSI), Télécom ParisTech-Centre National de la Recherche Scientifique (CNRS), HAL, TelecomParis
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Sep 2016, Orlando, FL, United States. pp.93-96
EMBC
Popis: International audience; 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 for improving their interpretation. Results show better reproducibility and robustness than interactive segmentation.
Databáze: OpenAIRE