title: An a contrario approach for the detection of patient-specific brain perfusion abnormalities with arterial spin labelling.
abstract: In this paper, we introduce a new locally multivariate procedure to quantitatively extract voxel-wise patterns of abnormal perfusion in individual patients. This a contrario approach uses a multivariate metric from the computer vision community that is suitable to detect abnormalities even in the presence of closeby hypo- and hyper-perfusions. This method takes into account local information without applying Gaussian smoothing to the data. Furthermore, to improve on the standard a contrario approach, which assumes white noise, we introduce an updated a contrario approach that takes into account the spatial coherency of the noise in the probability estimation. Validation is undertaken on a dataset of 25 patients diagnosed with brain tumours and 61 healthy volunteers. We show how the a contrario approach outperforms the massively univariate general linear model usually employed for this type of analysis.
authors.affiliation: University of Rennes 1, Faculty of Medicine, F-35043 Rennes, France; INSERM, U746, F-35042 Rennes, France; CNRS, IRISA, UMR 6074, F-35042 Rennes, France; INRIA, VisAGeS Project Team, F-35042 Rennes, France; Warwick Manufacturing Group, University of Warwick, CV4 7AL Coventry, United Kingdom. Electronic address: contact@camillemaumet.com.
authors.forename: Camille
authors.initials: C
authors.lastname: Maumet
authors.affiliation: University of Rennes 1, Faculty of Medicine, F-35043 Rennes, France; INSERM, U746, F-35042 Rennes, France; CNRS, IRISA, UMR 6074, F-35042 Rennes, France; INRIA, VisAGeS Project Team, F-35042 Rennes, France.
authors.forename: Pierre
authors.initials: P
authors.lastname: Maurel
authors.affiliation: University of Rennes 1, Faculty of Medicine, F-35043 Rennes, France; INSERM, U746, F-35042 Rennes, France; CNRS, IRISA, UMR 6074, F-35042 Rennes, France; INRIA, VisAGeS Project Team, F-35042 Rennes, France; CHU Rennes, Department of Neuroradiology, F-35033 Rennes, France.
authors.forename: Jean-Christophe
authors.initials: JC
authors.lastname: Ferré
authors.affiliation: University of Rennes 1, Faculty of Medicine, F-35043 Rennes, France; INSERM, U746, F-35042 Rennes, France; CNRS, IRISA, UMR 6074, F-35042 Rennes, France; INRIA, VisAGeS Project Team, F-35042 Rennes, France.
authors.forename: Christian
authors.initials: C
authors.lastname: Barillot
mesh_terms: D000328:Adult; D001783:Blood Flow Velocity; D001932:Brain Neoplasms / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D002533:Cerebral Angiography / Q000379:methods; D002560:Cerebrovascular Circulation; D002561:Cerebrovascular Disorders / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D018810:Magnetic Resonance Angiography / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009389:Neovascularization, Pathologic / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013113:Spin Labels
chemical_list: D013113:Spin Labels
keywords: A contrario; Arterial spin labelling; Brain tumour; General linear model; Hyper-perfusion; Hypo-perfusion; Searchlight approach