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.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
