New ratios for the detection and classification of CJD in multisequence MRI of the brain

  • Authors:

  • Marius George Linguraru;Nicholas Ayache;Miguel Ángel González Ballester;Eric Bardinet;Damien Galanaud;Stéphane Haïk;Baptiste Faucheux;Patrick Cozzone;Didier Dormont;Jean-Philippe Brandel

  • Affiliations:

  • EPIDAURE Research Group - INRIA Sophia Antipolis, France and Division of Engineering and Applied Sciences, Harvard University, Cambridge MA;EPIDAURE Research Group - INRIA Sophia Antipolis, France;EPIDAURE Research Group - INRIA Sophia Antipolis, France and MEM-ISTB, University of Bern, Bern, Switzerland;CNRS UPR640-LENA, Paris, France;Department of Neuroradiology, La Pitié-Salpêtrière Hospital, Paris, France and CRMBM UMR CNRS 6612, Faculty of Medicine, Marseille, France;INSERM U360, La Pitié-Salpêtrière Hospital, Paris, France and R. Escourolle Neuropathological Lab., La Pitié-Salpêtrière Hospital, Paris, France and The Natl. Ref. Ce ...;INSERM U360, La Pitié-Salpêtrière Hospital, Paris, France and R. Escourolle Neuropathological Laboratory, La Pitié-Salpêtrière Hospital, Paris, France;CRMBM UMR CNRS, Faculty of Medicine, Marseille, France;CNRS UPR640-LENA, Paris, France and Department of Neuroradiology, La Pitié-Salpêtrière Hospital, Paris, France;INSERM U360, La Pitié-Salpêtrière Hospital, Paris, France and The National Reference Cell of CJD, La Pitié-Salpêtrière Hospital, Paris, France

  • Venue:
  • MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
  • Year:
  • 2005

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Abstract

We present a method for the analysis of deep grey brain nuclei for accurate detection of human spongiform encephalopathy in multisequence MRI of the brain. We employ T1, T2 and FLAIR-T2 MR sequences for the detection of intensity deviations in the internal nuclei. The MR data are registered to a probabilistic atlas and normalised in intensity prior to the segmentation of hyperintensities using a foveal model. Anatomical data from a segmented atlas are employed to refine the registration and remove false positives. The results are robust over the patient data and in accordance to the clinical ground truth. Our method further allows the quantification of intensity distributions in basal ganglia. sCJD patient FLAIR images are classified with a more significant hypersignal in caudate nuclei (10/10) and putamen (6/10) than in thalami. Defining normalised MRI measures of the intensity relations between the internal grey nuclei of patients, we robustly differentiate sCJD and variant CJD (vCJD) patients, as an attempt towards the automatic detection and classification of human spongiform encephalopathies.