Baptiste Morel1, Yongchao Xu2, Alessio Virzi3, Thierry Géraud4, Catherine Adamsbaum, Isabelle Bloch5
BioMedical Imaging and Image Processing
08:00 - 09:30 | Wed 17 Aug | Fantasia E | WeAT5
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.
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