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Abstract #1151

Data acquisition strategies to mitigate cardiac-induced noise in quantitative R2* maps of the brain

Quentin Raynaud1, Thomas Dardano1,2, Christopher Roy3, Jérôme Yerly3,4, Tobias Kober3,5,6, Ruud B. van Heeswijk3, and Antoine Lutti1
1Department for Clinical Neuroscience, Laboratory for Research in Neuroimaging, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 2Physics section, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 3Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 5Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 6LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

Synopsis

Keywords: Artifacts, RelaxometryCardiac pulsation enhances the noise level in MR images of the brain and reduces the sensitivity of the data in studies of brain disease. We propose two data acquisition strategies that mitigate cardiac-induced noise in quantitative brain maps of the MRI parameter R2*. The first strategy sets the number of samples at each k-space location according to the local level of cardiac-induced noise. The second strategy adjusts data acquisition in real-time to acquire the data most sensitive to cardiac-induced noise during the diastolic period of the cardiac cycle.

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