Abstract #1433

Non-parametric acute ischemic stroke penumbra delineation from dynamic DSC-MRI data with convex source separation

Sudhanya Chatterjee¹, Dattesh D Shanbhag¹, Uday Patil¹, Venkata Veerendranadh Chebrolu¹, and Rakesh Mullick¹

¹GE Global Research, Bangalore, India

In acute ischemic stroke (AIS), stroke volume is determined by DWI and volume at risk is identified by thresholding deconvolved Tmax map (> 6s). Tmax map is itself influenced by quality of AIF, its location, laterality and deconvolution algorithm. This can potentially impact estimation of "volume at risk”. In this work, we describe a CAMNS based source separation method with DSC concentration data to identify perfusion patterns without explicit parametrization of PWI data. We demonstrate that "volume at risk" estimation derived with CWSE may overcome the variability associated with the current methods based on Tmax maps only.

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