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Abstract #2356

Hemodynamic quantification for modelling functional outcome in stroke population using 4D Flow Imaging – a pilot study

Himanshu Singh1, Vishnu VY2, S. Senthil Kumaran1, G. Karthikeyan3, Neha Chopra3, Bhairav Bipin Mehta4, and Yatin Sharma5
1Department of Nuclear Magnetic Resonance, All India Institute of Medical Sciences, New Delhi, India, 2Department of Neurology, All India Institute of Medical Sciences, New Delhi, India, 3Department of Cardiology, All India Institute of Medical Sciences, New Delhi, India, 4DI-MRI, Siemens Healthineers, Bangalore, India, 5Diagnostic Imaging, Siemens Healthineers, Gurugram, India

Synopsis

Keywords: Stroke, Ischemia

Motivation: Recurrent stroke is associated to hemodynamic abnormalities in ischemic stroke population, and MRI may play a major role in routine clinical setting.

Goal(s): Our goal was to assess hemodynamic variation in aortic region in stroke population (especially in subacute phase) undergoing routine treatment.

Approach: we used 4D flow imaging method which employs a non-contrast method with respiratory motion compensation method to acquire flow dynamics in stroke population to assess the aortic flow quantification.

Results: Flow abnormalities are significantly differing across subacute phase suggesting changes in hemodynamic.

Impact: Understanding cardiac flow dynamics in subacute phase of stroke population (undergoing clinical treatment) can help in understanding the functional recovery pattern to stratify recovery from recurrent stroke condition in future.

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