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Abstract #4773

Towards automatic analysis of 4D Flow MRI: Automatic cardiac segmentation

Mariana Bustamante1,2, Vikas Gupta1,2, Daniel Forsberg2,3, Carl-Johan Carlhäll1,2,4, Jan Engvall2,4, and Tino Ebbers1,2

1Department of Medical and Health Sciences, Division of Cardiovascular Medicine, Linköping University, Linköping, Sweden, 2Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden, 3Sectra AB, Linköping, Sweden, 4Department of Clinical Physiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden

One of the most important post-processing steps in the analysis of cardiac MR images is the segmentation of the blood pool, usually relying on manual delineation of the cardiac anatomy by an expert observer. Obtaining high quality segmentations of 4D Flow MR images acquired without the use of blood pool agents is especially challenging due to the low contrast between the blood and the myocardium present in these images. We propose an automatic multi-atlas segmentation technique that generates four-dimensional segmentations of the cardiac chambers and great thoracic vessels in 4D Flow MR images.

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