Abstract #1966

Fully dimensional vessel segmentation in non-contrast-enhanced 3D PC-MRI image data.

Judith Zimmermann^1,2, Lennart Tautz², Christian Meierhofer³, Heiko Stern³, Bjoern Menze¹, and Anja Hennemuth²

¹Department of Computer Science, Technical University of Munich, Munich, Germany, ²Institute for Imaging Science and Computational Modeling in Cardiovascular Medicine, Charité Universitätsmedizin, Berlin, Germany, ³Department of Pediatric Cardiology, German Heart Center, Munich, Germany

Fully dimensional (spatial + temporal) segmentation of blood vessels is crucial to perform 3D PC-MRI based quantitative characterization of hemodynamics. However, most prior works neglect the temporal movement of vessels, making it a 3D-only segmentation problem. Therefore, the objective of this work was to show feasibility of a deformable-registration-based algorithm for 4D segmentation of the aorta. Performance of the proposed algorithm proved to be acceptable, with overall Dice index and Hausdorff distance of 0.86±0.04 and 3.63±0.75 mm, respectively.

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