Automated 3D whole-heart mesh reconstruction from 2D cine MR slices using statistical shape model

Conference item

Cardiac magnetic resonance (CMR) imaging is the one of the gold standard imaging modalities for the diagnosis and characterization of cardiovascular diseases. The clinical cine protocol of the CMR typically generates high-resolution 2D images of heart tissues in a finite number of separated and independent 2D planes, which are appropriate for the 3D reconstruction of biventricular heart surfaces. However, they are usually inadequate for the whole-heart reconstruction, specifically for both atria. In this regard, the paper presents a novel approach for automated patient-specific 3D whole-heart mesh reconstruction from limited number of 2D cine CMR slices with the help of a statistical shape model (SSM). After extracting the heart contours from 2D cine slices, the SSM is first optimally fitted over the sparse heart contours in 3D space to provide the initial representation of the 3D whole-heart mesh, which is further deformed to minimize the distance from the heart contours for generating the final reconstructed mesh. The reconstruction performance of the proposed approach is evaluated on a cohort of 30 subjects randomly selected from the UK Biobank study, demonstrating the generation of high-quality 3D whole-heart meshes with average contours to surface distance less than the underlying image resolution and the clinical metrics within acceptable ranges reported in previous literature. Clinical Relevance- Automated patient-specific 3D whole-heart mesh reconstruction has numerous applications in car-diac diagnosis and multimodal visualization, including treatment planning, virtual surgery, and biomedical simulations.

Authors: Banerjee, A; Zacur, E; Choudhury, RP; Grau, V

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: IEEE
• Host title: Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022)
• Volume: 2022
• Pages: 1702-1706
• Publication date: 2022-09-08
• Acceptance date: 2022-04-01
• Event title: 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022)
• Event location: Glasgow, Scotland, UK
• Event website: https://ieeexplore.ieee.org/xpl/conhome/9870821/proceeding
• Event start date: 2022-07-11
• Event end date: 2022-07-15
• DOI: 10.1109/embc48229.2022.9871327
• EISSN: 2694-0604
• ISSN: 2375-7477
• Pmid: 36086304
• EISBN: 9781728127828
• ISBN: 9781728127835
• Language: English
• Keywords: imaging; models; FFR; magnetic resonance imaging; algorithms; statistical; three-dimensional; heart; humans