Ibrain Application CT Brain Perfusion

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Presentation transcript:

Ibrain Application CT Brain Perfusion David Rodríguez González Lisbon Integration Meeting, November 2007

ibrain Lisbon Integration Meeting 13/11/2007 Introduction Collaboration between IFCA (CSIC-UC) and Hospital Universitario Marqués de Valdecilla at Santander (HUMV) radiologists. Previous collaboration Development of a tool for assisted diagnosis for brain stroke using hemodynamic parameters maps Vendor independent parameters calculation testing several methods Integration in int.eu.grid ibrain Lisbon Integration Meeting 13/11/2007

ibrain Lisbon Integration Meeting 13/11/2007 Brain Stroke Brain stroke is one of the most important death and disability causes in the EU and USA. Currently available treatments could help to reduce the extension of the problem CT Perfusion techniques can help using the acquired images to generate brain maps showing relevant hemodynamical parameters: MTT Mean Transition Time BV Blood Volume BF Blood Flow But need accurate identification of the ischemic lession Other relevant information for diagnosis is needed: like angiography ibrain Lisbon Integration Meeting 13/11/2007

ibrain Lisbon Integration Meeting 13/11/2007 WHAT’S STROKE? ibrain Lisbon Integration Meeting 13/11/2007

ibrain Lisbon Integration Meeting 13/11/2007 NECROSIS NECROSIS PENUMBRA Core: part of the ischemic region that is irreversibly injured Penumbra: area of the brain underperfused and in danger of infarcting. ibrain Lisbon Integration Meeting 13/11/2007

ibrain Lisbon Integration Meeting 13/11/2007 STROKE CT perfusion plays a major role by demonstrating salvageable brain tissue and extension of cerebral core infarction. And… WHAT’S CT PERFUSION?? ibrain Lisbon Integration Meeting 13/11/2007

ibrain Lisbon Integration Meeting 13/11/2007

ibrain Lisbon Integration Meeting 13/11/2007 ANALYSIS Attenuation proportional to blood (= contrast) in brain tissue. Time attenuation curve of reference: -artery (ACA, MCA) -vein ibrain Lisbon Integration Meeting 13/11/2007

ibrain Lisbon Integration Meeting 13/11/2007 CT Perfusion For DCE (Dynamic Contrast Enhancement) imaging using CT (aka CT Perfusion) a sequence of images (45) at the same location are taken in a given interval. Concertation Time Curves The objective is to get the three parameters that are related by the central volume principle This is done voxel by voxel ibrain Lisbon Integration Meeting 13/11/2007

CT Perfusion Application‏ Input: (4*) 45 CT brain images in DICOM format Using as reference an artery and a vein three parameters are computed for each pixel: blood flow (CBF), blood volume (CBV) and mean transition time (MTT). Prototype in Matlab Using RegTools Toolbox by P.C. Hansen Implemented the algorithms in ANSI C Problems with the SVD library Looking for alternatives Reimplemented in Java Using JAMA Current version being used Still some improvements needed (constrained regularization) ibrain Lisbon Integration Meeting 13/11/2007

Infarct location application Using the cerebral blood flow and the mean transit time generate a brain map showing: The infarct core The ischemic penumbra Implemented in Java (ij library for the images) Using input from GE Perfusion application Will use also our maps when finished The program fed with the parameter maps automatically calculates an output map The medic can change the criteria Also can define a good tissue region to use as reference ibrain Lisbon Integration Meeting 13/11/2007

ibrain Lisbon Integration Meeting 13/11/2007 Infarct location Standalone Java GUI application To be ported to i2g as a plugin for the Migrating Desktop Would be linked to the parameter maps application Blood Flow Mean Transit Time Blood Volume ibrain Lisbon Integration Meeting 13/11/2007

ibrain Lisbon Integration Meeting 13/11/2007 Other Future Work Implementing alternative techniques for getting the perfusion and hemodynamical parameters: Frequencies filtering Parametrical approaches Bayesian Comparing all these techiques with simulated and real data Using Monte Carlo simulations to check the methods robustness against different levels of SNR ibrain Lisbon Integration Meeting 13/11/2007