Cobiveco: Consistent biventricular coordinates for precise and intuitive description of position in the heart -- with MATLAB implementation
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Abstract (arXiv)
Ventricular coordinates are widely used as a versatile tool for various applications that benefit from a description of local position within the heart. However, the practical usefulness of ventricular coordinates is determined by their ability to meet application-specific requirements. For regression-based estimation of biventricular position, for example, a symmetric definition of coordinate directions in both ventricles is important. For the transfer of data between different hearts as another use case, the consistency of coordinate values across different geometries is particularly relevant. To meet these requirements, we compare different approaches to compute coordinates and present Cobiveco, a symmetric, consistent and intuitive biventricular coordinate system that builds upon existing coordinate systems, but overcomes some of their limitations. A novel one-way transfer error is introduced to assess the consistency of the coordinates. Normalized distances along bijective trajectories between two boundaries were found to be superior to solutions of Laplace's equation for defining coordinate values, as they show better linearity in space. Evaluation of transfer and linearity errors on 36 patient geometries revealed a more than 4-fold improvement compared to a state-of-the-art method. Finally, we show two application examples underlining the relevance for cardiac data processing. Cobiveco MATLAB code is available under a permissive open-source license.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Feb 2021.
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Citing papers per year: 2022: 2; 2023: 2; 2024: 0; 2025: 1; 2026: 3.
8 papers.
- 2022Multi-Modality Cardiac Image Computing: A Surveycited by 19
- 2023Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inferencecited by 18
- 2025Neural Implicit Heart Coordinates: 3D cardiac shape reconstruction from sparse segmentationscited by 4
- 2023Influence of Myocardial Infarction on QRS Properties: A Simulation Studycited by 3
- 2022Non-invasive Localization of the Ventricular Excitation Origin Without Patient-specific Geometries Using Deep Learningcited by 1
- 2026Personalized 4D Whole-Heart Mesh Reconstruction from Cine MRI via Multi-Scale Temporal Modeling and Differentiable Contour Renderingcited by 1
- 2026Physiology and Anatomy Aware Inverse Inference of Myocardial Infarction for Cardiac Digital Twincited by 0
- 2026Anatomy-Aligned Surface Field Learning for Myocardial Reconstruction from Sparse Short-Axis Cine MRIcited by 0
- 2026Anatomy-Aligned Surface Field Learning for Myocardial Reconstruction from Sparse Short-Axis Cine MRI24 Sep 2026
- 2026Personalized 4D Whole-Heart Mesh Reconstruction from Cine MRI via Multi-Scale Temporal Modeling and Differentiable Contour Rendering2 Jul 2026
- 2026Physiology and Anatomy Aware Inverse Inference of Myocardial Infarction for Cardiac Digital Twin21 May 2026
- 2025Neural Implicit Heart Coordinates: 3D cardiac shape reconstruction from sparse segmentations22 Dec 2025
- 2023Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference10 Jul 2023
- 2023Influence of Myocardial Infarction on QRS Properties: A Simulation Study4 Apr 2023
- 2022Non-invasive Localization of the Ventricular Excitation Origin Without Patient-specific Geometries Using Deep Learning16 Sep 2022
- 2022Multi-Modality Cardiac Image Computing: A Survey26 Aug 2022