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Real-time myocardium segmentation for the assessment of cardiac function variation

: Zoehrer, F.; Huellebrand, M.; Chitiboi, T.; Oechtering, T.; Sieren, M.; Frahm, J.; Hahn, H.K.; Hennemuth, A.


Krol, A. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Medical Imaging 2017. Biomedical Applications in Molecular, Structural, and Functional Imaging : 12-14 February 2017, Orlando, Florida, United States
Bellingham, WA: SPIE, 2017 (Proceedings of SPIE 10137)
ISBN: 978-1-5106-0719-4
ISBN: 978-1-5106-0720-0
Paper 101370L, 7 S.
Conference "Medical Imaging - Biomedical Applications in Molecular, Structural, and Functional Imaging" <2017, Orlando/Fla.>
Fraunhofer MEVIS ()

Recent developments in MRI enable the acquisition of image sequences with high spatio-temporal resolution. Cardiac motion can be captured without gating and triggering. Image size and contrast relations differ from conventional cardiac MRI cine sequences requiring new adapted analysis methods. We suggest a novel segmentation approach utilizing contrast invariant polar scanning techniques. It has been tested with 20 datasets of arrhythmia patients. The results do not differ significantly more between automatic and manual segmentations than between observers. This indicates that the presented solution could enable clinical applications of real-time MRI for the examination of arrhythmic cardiac motion in the future.