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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