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Abstract #3948

Evaluation of an optimized post-processing tool for 4D flow MRI data analysis in healthy volunteers and patients with aortic stenosis, aortic insufficiency, and aortic aneurysm

Edouard Michel Semaan 1 , Maria Carr 1 , Mehmet Gulsun 2 , Pim van Ooij 1 , Aurelien Stalder 3 , James Carr 1 , Jeremy Collins 1 , Michael Markl 1,4 , and Bruce Spottiswoode 5

1 Radiology Department, Feinberg School of Medicine Northwestern University, Chicago, Illinois, United States, 2 Siemens Corporation, Corporate Technology, New Jersey, United States, 3 Siemens AG Healthcare Sector, Erlangen, Germany, 4 Department of Biomedical Engineering, McCormick School of Engineering, Chicago, Illinois, United States, 5 Cardiovascular MR R&D, Siemens Healthcare, Chicago, Illinois, United States

A principle limitations to the clinical utility of 4D flow MR imaging is the lengthy post-processing times required for data analysis. 4D flow datasets are typically post-processed using proprietary lab-specific software. Recently, a novel 4D flow MRI post-processing tool optimized for the evaluation of the thoracic aorta. The purpose of this study was to evaluate this novel 4D flow tool to assess thoracic aortic hemodynamics in healthy volunteers as well as patients with aortic aneurysm and aortic valve disease. The 4D flow tool enabled efficient processing of raw reconstructed 4D flow MRI data, demonstrating significant differences hemodynamics between groups.

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