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Abstract #1875

Comparison of PET and MRI estimation of cerebral perfusion using multi parametric PET-MR in a non-human primate model of stroke

Justine DEBATISSE1,2, Nikolaos MAKRIS3, Nicolas COSTES4, Michael VERSET5, Océane WATEAU5, Karine PORTIER1, Mohamed AGGOUR1, Jean-Baptiste LANGLOIS4, Christian TOURVIEILLE4, Didier LE BARS4, Thomas TROALEN2, Hugues CONTAMIN5, Tae-Hee CHO3,6, and Emmanuelle CANET-SOULAS1

1Univ Lyon, CarMeN Laboratory, INSERM, INRA, INSA Lyon, Université Claude Bernard Lyon 1, Lyon, France, 2Siemens Healthcare SAS, Saint-Denis, France, 3CREATIS, CNRS UMR 5220, INSERM U1206, Université Lyon 1, INSA Lyon, Université Jean Monnet Saint-Etienne, Lyon, France, 4CERMEP - Imagerie du vivant, Lyon, France, 5Cynbiose SAS, Marcy-L'Etoile, France, 6Department of Neurology, Hospices Civils de Lyon, Lyon, France

Reliable estimation of cerebral blood flow (CBF) is crucial for a precise diagnosis of acute ischemia. PET using [15O]H2O remains the reference method to assess CBF but it can also be assessed using MRI. Several post-processing algorithms of perfusion MRI can be used to derive MRI-CBF values. CBF was simultaneously assessed with PET and MRI in a Macaca fascicularis model of stroke using a Siemens PET-MRI hybrid scanner. Four MRI post processing algorithms (sSVD, cSVD, oSVD and Bayesian) were compared against PET estimation of CBF. Bayesian algorithm seems to derive the most reliable estimation of CBF.

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