Abstract
Integrating spatial information about atrial physiology and anatomy in a single patient from multimodal datasets, as well as generalizing these data across patients, requires a common coordinate system. In the atria, this is challenging due to the complexity and variability of the anatomy. We aimed to develop and validate a Universal Atrial Coordinate (UAC) system for the following applications: combination and assessment of multimodal data; comparison of spatial data across patients; 2D visualization; and construction of patient specific geometries to test mechanistic hypotheses. Left and right atrial LGE-MRI data were segmented and meshed. Two coordinates were calcu- lated for each atrium by solving Laplace’s equation, with boundary conditions assigned using five landmark points. The coordinate system was used to map spatial informa- tion between atrial meshes, including scalar fields measured using different mapping modalities, and atrial anatomic structures and fibre directions from a reference geom- etry. Average error in point transfer from a source mesh to a destination mesh and back again was less than 0.1mm for the left atrium and 0.02mm for the right atrium. Patient specific meshes were constructed using the coordinate system and phase singu- larity density maps from arrhythmia simulations were visualised in 2D. In conclusion, we have developed a universal atrial coordinate system allowing automatic registration of imaging and electroanatomic mapping data, 2D visualisation, and patient specific model creation.
Original language | English |
---|---|
Pages (from-to) | 65-75 |
Number of pages | 11 |
Journal | Medical Image Analysis |
Volume | 55 |
Early online date | 17 Apr 2019 |
DOIs | |
Publication status | Published - Jul 2019 |
Keywords
- Atria
- Coordinates
- Mapping
- Personalized computational modeling
Fingerprint
Dive into the research topics of 'Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes'. Together they form a unique fingerprint.Datasets
-
Constructing a Human Atrial Fibre Atlas
Roney, C., Bendikas, R., Pashakhanloo, F., Corrado, C., Vigmond, E., McVeigh, E., Trayanova, N. & Niederer, S., King's College London, 27 Apr 2020
DOI: 10.18742/rdm01-596, https://kcl.figshare.com/articles/dataset/Constructing_a_Human_Atrial_Fibre_Atlas/16473906
Dataset