Difference between revisions of "Publications/morel.16.embc"

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(Created page with "{{Publication | published = true | date = 2016-05-20 | authors = Baptiste Morel, Yongchao XU, Alessio Virzi, Thierry Géraud, Catherine Adamsbaum, Isabelle Bloch | title = A C...")
 
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| published = true
 
| date = 2016-05-20
 
| date = 2016-05-20
| authors = Baptiste Morel, Yongchao XU, Alessio Virzi, Thierry Géraud, Catherine Adamsbaum, Isabelle Bloch
+
| authors = Baptiste Morel, Yongchao Xu, Alessio Virzi, Thierry Géraud, Catherine Adamsbaum, Isabelle Bloch
 
| title = A Challenging Issue: Detection of White Matter Hyperintensities in Neonatal Brain MRI
 
| title = A Challenging Issue: Detection of White Matter Hyperintensities in Neonatal Brain MRI
 
| booktitle = 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
 
| booktitle = 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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@InProceedings<nowiki>{</nowiki> morel.16.embc,
 
@InProceedings<nowiki>{</nowiki> morel.16.embc,
author = <nowiki>{</nowiki>Baptiste Morel and Yongchao XU and Alessio Virzi and
+
author = <nowiki>{</nowiki>Baptiste Morel and Yongchao Xu and Alessio Virzi and
 
Thierry G\'eraud and Catherine Adamsbaum and Isabelle
 
Thierry G\'eraud and Catherine Adamsbaum and Isabelle
 
Bloch<nowiki>}</nowiki>,
 
Bloch<nowiki>}</nowiki>,

Revision as of 16:28, 1 July 2016

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 representationswhich 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	= {38th Annual International Conference of the IEEE
		  Engineering in Medicine and Biology Society},
  year		= {2016},
  month		= aug,
  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.},
  note		= {To appear}
}