Published September 11, 2021
| Version v1
Dataset
Open
Dataset : Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps
Authors/Creators
- 1. Centre for Complexity Science, Imperial College London, London, United Kingdom
- 2. Department of Physics, Imperial College London, London, United Kingdom
- 3. Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
- 4. ElectroCardioMaths Programme, Imperial Centre for Cardiac Engineering, Faculty of Medicine, Imperial College London, London, United Kingdom
Description
- The three files in the dataset are:
1) Healthy Sheep Atria Fibre Orientation Dataset 300µm
2) Heart Failure Sheep Atria Fibre Orientation Dataset 300µm
3) Human Atria Fibre Orientation Dataset 330µm
- Data is stored as numpy binary files. Given below is an example .py script to open the flat datasets:
import numpy as np
data = np.load("Human_330um.npy")
- Volume and fibre orientation dataset stored in flat format as given below:
i, j, k, v1, v2, v3, ... repeated for each voxel
where (i, j, k) are voxel coordinates and (v1, v2, v3) are vector components corresponding to fibre orientation within that voxel.
Notes
The code used to generate the spatial networks is available at :
github.com/JamesAlecColeman/reentrySpatialNetworks