Dataset : Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps

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:...

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Hauptverfasser: Falkenberg, Max, Coleman, James A, Dobson, Sam, Hickey, David J, Terrill, Louie, Ciacci, Alberto, Thomas, Belvin, Peters, Nicholas S, Sau, Arunashis, Ng, Fu Siong, Zhao, Jichao, Christensen, Kim
Format: Dataset
Sprache:eng
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Zusammenfassung: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.
DOI:10.5281/zenodo.5500724