A robust shape model for blood vessels analysis
The availability of digital twins for the cardiovascular system will enable insightful computational tools both for research and clinical practice. This, however, demands robust and well defined models and methods for the different steps involved in the process. We present a vessel coordinate system (VCS) that enables the unambiguous definition of locations in a vessel section, by adapting the idea of cylindrical coordinates to the vessel geometry. Using the VCS model, point correspondence can be defined among different samples of a cohort, allowing data transfer, quantitative comparison, shape coregistration or population analysis. Furthermore, the VCS model allows for the generation of specific meshes (e.g. cylindrical grids, OGrids) necessary for an accurate reconstruction of the geometries used in fluid simulations. We provide the technical details for coordinates computation and discuss the assumptions taken to guarantee that they are well defined. The VCS model is tested in a series of applications. We present a robust, low dimensional, patient specific vascular model and use it to study phenotype variability analysis of the thoracic aorta within a cohort of patients. Point correspondence is exploited to build an haemodynamics atlas of the aorta for the same cohort. The atlas originates from fluid simulations (Navier-Stokes with Finite Volume Method) conducted using OpenFOAMv10. We finally present a relevant discussion on the VCS model, which covers its impact in important areas such as shape modeling and computer fluids dynamics (CFD). • We present a vessel coordinate system (VCS) that enables the unanbiguous definition of locations in a vessel section. • Inter-sample point correspondence enables data transfer, quantitative comparison, corregistration, or cohort analysis. • It allows the generation of specific meshes for an accurate reconstruction of the geometries used in fluid simulations. • The VCS allows digital twins implementation for the cardiovascular system oriented to research and clinical practice. • The VCS is tested in different applications such as patient specific vascular modeling or haemodynamics atlas construction.
Authors
- Miguel Lozano (ORCID: https://orcid.org/0000-0002-2532-0321)
- Pau Romero (ORCID: https://orcid.org/0000-0002-4740-2651)
- Ignacio García‐Fernández (ORCID: https://orcid.org/0000-0001-6901-0790)
- Rafael Sebastián (ORCID: https://orcid.org/0000-0001-6746-5740)
- Abel Pedrós
Institutions
- Simulation Technologies (United States) (US)
Publication Details
- Journal
- Applied Mathematics and Computation
- Published
- 2024-09-26
- DOI
- https://doi.org/10.1016/j.amc.2024.129078
- Citations
- 1
- Primary Topic
- Medical Image Segmentation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.25
Funders
- Ministerio de Ciencia, Innovación y Universidades
- Generalitat Valenciana
- Conselleria de Cultura, Educación y Ciencia, Generalitat Valenciana