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Universal ventricular coordinates: A generic framework for describing position within the heart and transferring data
- Source :
- Medical Image Analysis, Medical Image Analysis, Elsevier, 2018, 45, pp.83-93. ⟨10.1016/j.media.2018.01.005⟩
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
-
Abstract
- International audience; Being able to map a particular set of cardiac ventricles to a generic topologically equivalent representation has many applications, including facilitating comparison of different hearts, as well as mapping quantities and structures of interest between them. In this paper we describe Universal Ventricular Coordinates (UVC), which can be used to describe position within any biventricular heart. UVC comprise four unique coordinates that we have chosen to be intuitive, well defined, and relevant for physiological descriptions. We describe how to determine these coordinates for any volumetric mesh by illustrating how to properly assign boundary conditions and utilize solutions to Laplace's equation. Using UVC, we transferred scalar, vector, and tensor data between four unstructured ventricular meshes from three different species. Performing the mappings was very fast, on the order of a few minutes, since mesh nodes were searched in a KD tree. Distance errors in mapping mesh nodes back and forth between meshes were less than the size of an element. Analytically derived fiber directions were also mapped across meshes and compared, showing < 5 ° difference over most of the ventricles. The ability to transfer gradients was also demonstrated. Topologically variable structures, like papillary muscles, required further definition outside of the UVC framework. In conclusion, UVC can aid in transferring many types of data between different biventricular geometries.
- Subjects :
- Coordinates
Computer science
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Heart Ventricles
0206 medical engineering
Scalar (mathematics)
Finite Element Analysis
Health Informatics
02 engineering and technology
Volume mesh
030204 cardiovascular system & hematology
Topology
Data type
03 medical and health sciences
0302 clinical medicine
Dogs
[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
Volumetric meshes
Image Processing, Computer-Assisted
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging
Animals
Humans
Radiology, Nuclear Medicine and imaging
Polygon mesh
Boundary value problem
Radiological and Ultrasound Technology
Laplace transform
020601 biomedical engineering
Computer Graphics and Computer-Aided Design
Deformation
k-d tree
Mapping
Computer Vision and Pattern Recognition
Rabbits
Anatomic Landmarks
Topological conjugacy
Algorithms
Software
Subjects
Details
- Language :
- English
- ISSN :
- 13618415 and 13618423
- Database :
- OpenAIRE
- Journal :
- Medical Image Analysis, Medical Image Analysis, Elsevier, 2018, 45, pp.83-93. ⟨10.1016/j.media.2018.01.005⟩
- Accession number :
- edsair.doi.dedup.....e35e8dfe2f3d2896d33f21fd071396e5
- Full Text :
- https://doi.org/10.1016/j.media.2018.01.005⟩