Laplace-Dirichlet Rule-Based fiber and sheet generation.
Module: tutorials.05_pre_post_processing.03_Laplace_Dirichlet_Fibers.run
Section author: Jason Bayer <jason.bayer@ihu-liryc.fr>
This tutorial demonstrates how to generate cardiac fiber and sheet orientation in biventricular models using the rule-based approach by [1].
We developed a robust Laplace-Dirichlet Rule-Based algorithm for incorporating myocardial fiber orientation into computer models of biventricular geometries with speed, precision, and high usability. This tutorial demonstrates how to use the implementation of Bayer et al with CARP and its utilities.
In mammalian ventricles, the following rules for cardiac fiber orientation apply as derived from histological and diffusion-tensor imaging.
R1. The longitudinal fiber direction in the ventricular walls is parallel to the endocardial and epicardial surfaces.
R2. The longitudinal fiber direction rotates clockwise throughout the ventricular walls from the endocardium (+ ) to the epicardium (- ), where is the helical angle with respect to the counterclockwise circumferential direction in the heart when looking from the base towards the apex.
R3. The longitudinal fiber direction in papillary muscles and trabeculae is parallel to the long axis of these structures.
R4. The transverse fiber direction is perpendicular to the longitudinal fiber direction and is defined by the angle , where is the angle with respect to the outward transmural axis of the heart.
R5. The sheet normal is orthonormal to the longitudinal and transverse fiber directions.
R6. Fiber orientation in the septum is continuous with the ventricular walls.
To define the rules above in any finite element mesh of mammalian ventricles, we solve the solution to Laplace’s equation with Dirichlet boundary conditions for the four scenarios shown in the lefthand side of the figure below. We then use these solutions to develop the local coordinate system shown in the righthand side of the figure below. Tutorials for how to solve Laplace’s equation and gradients of scalar fields can be found at (TBA) and (TBA), respectively.
Using the local coordinate system derived by taking the gradients of the Laplace solutions, we then generate a longitudinal fiber direction according to user inputs for on the cardiac surfaces, and the transverse and normal directions for sheet orientation according to the user inputs for on the cardiac surfaces.
For this example, we use a finite element mesh of an adult canine biventricular geometry. The model is composed of 149,734 tetrahedral elements with an average edge length of 1.75 mm. This particular mesh was chosen since it’s lower resolution facilitates quick computation and visualization times. Note, all boundary conditions as shown in the figure above were computed beforehand using a customized tool. A tutorial for written in the near future.
The following optional arguments are available (default values are indicated):
./run.py --help
--mode Options: {all,fibersonly}, Default: all
The option "all" computes the Laplace solutions
as well as the rule-based fiber orientation.
--apex Options: {apex_lv,apex_rvlv}, Default: apex_lv
The option sets the apical boundary condition either
at the LV apex or at the junction of the RV and LV.
--alpha_endo Default: 40 degrees
Helical angle on endocardial surface
--alpha_epi Default: -50 degrees
Helical angle on epicardial surface
--beta_endo Default: -65 degrees
Sheet angle on endocardial surface
--beta_epi Default: 25 degrees
Sheet angle on epicardial surface
After running run.py, the results for the fiber orientations can be found in the output subdirectory corresponding to the input parameters. The longitudinal fiber direction can be found in canine_long.vec, the transverse direction in canine_tran.vec, and the sheet normal direction in canine_norm.vec.
If the program is ran with the --visualize
option, meshalyzer will automatically load the longitudinal fiber orientation.
./run.py --apex apex_lv
./run.py --apex apex_rvlv
./run.py --alpha_endo 0 --alpha_epi 0
./run.py --alpha_endo 90 --alpha_epi 90