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Abstract #0588

Independent component analysis for assessing tissue at risk of infarction in acute ischemic stroke

Venkata Veerendranadh Chebrolu 1 , Ashish Rao 2 , Dattesh D Shanbhag 1 , Sandeep N Gupta 3 , Uday Patil 1,4 , Patrice Hervo 5 , Catherine Oppenheim 6,7 , and Rakesh Mullick 8

1 Medical Image Analysis Lab, GE Global Research, Bangalore, Karnataka, India, 2 Bio-Medical Signal Analysis Lab, GE Global Research, Bangalore, Karnataka, India, 3 Biomedical Image Processing Lab, GE Global Research, Niskayuna, NY, United States, 4 Manipal Health Enterprises Pvt. Ltd., Bangalore, Karnataka, India, 5 GE Healthcare, Buc, France, 6 Departments of Radiology and Neurology, Centre Hospitalier, Sainte-Anne, Paris, France, 7 Universit Paris Descartes, Paris, France, 8 Diagnostics and Biomedical Technologies, GE Global Research, Bangalore, Karnataka, India

Independent component analysis of DSC-MRI data was demonstrated to identify hypo-perfused regions in acute ischemic stroke. Independent component analysis based assessment acute ischemic stroke can be achieved without arterial input function detection and explicit parameterization of the DSC perfusion data.

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