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Abstract #2091

Pixel-by-pixel based discrimination of inflammation using multi-parametric MRI

Ana Belen Martin-Recuero 1 , Agi Krzyzanowska 2 , Carlos Avendao 2 , Ania Bentez 1 , Pilar Lopez-Larrubia 1 , Gerardo Brioso 1 , and Sebastian Cerdan 1

1 IIBm, Consejo Superior de Investigaciones Cientficas, Madrid, Spain, 2 Anatomy, Medical School, Madrid, Spain

Cerebral inflammation underlies the most prevalent neurological disorders, including cancer, ischemia or neurodegeneration but current bioimaging methods are not able to distinguish unambiguously between the inflammatory component and the intrinsic pathology. We report here a novel decision support system which selects the MRI sequences more relevant for discriminating automatically pixel-by-pixel between the inflamed component and the healthy mouse brain. Our results correlate well with multi-parametric MRI calculation and immunostaining experiments. This method may improve the clinical workflow and the non-invasive assessment of inflammation.

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