A Challenging Issue: Detection of White Matter Hyperintensities in Neonatal Brain MRI

From LRDE

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.

Documents

Bibtex (lrde.bib)

@InProceedings{	  morel.16.embc,
  author	= {Baptiste Morel and Yongchao Xu and Alessio Virzi and
		  Thierry G\'eraud and Catherine Adamsbaum and Isabelle
		  Bloch},
  title		= {A Challenging Issue: Detection of White Matter
		  Hyperintensities in Neonatal Brain {MRI}},
  booktitle	= {Proceedings of the Annual International Conference of the
		  IEEE Engineering in Medicine and Biology Society},
  year		= {2016},
  month		= aug,
  pages		= {93--96},
  address	= {Orlando, Florida, USA},
  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.}
}