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 |
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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: |
[INFO.INFO-IM] Computer Science [cs]/Medical Imaging
030218 nuclear medicine & medical imaging White matter 03 medical and health sciences 0302 clinical medicine Neonatal brain medicine Image Processing Computer-Assisted [INFO.INFO-IM]Computer Science [cs]/Medical Imaging Humans Segmentation medicine.diagnostic_test Term equivalent age Infant Newborn Infant Reproducibility of Results Magnetic resonance imaging Image segmentation Magnetic Resonance Imaging White Matter Hyperintensity medicine.anatomical_structure [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV] [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] Psychology Morphological operators Neuroscience 030217 neurology & neurosurgery Infant Premature |
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 |
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