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

<ul> <li><strong>The three files in the dataset are:</strong></li> </ul> <p>1) Healthy Sheep Atria Fibre Orientation Dataset 300&micro;m</p> <p>2) Heart Failure Sheep Atria Fibre Orientation Dataset 300&micro;m</p> <p>3) Human Atria Fibre Orientation Dataset 330&micro;m</p> <ul> <li><strong>Data is stored as numpy binary files. Given below is an example .py script to open the flat datasets:</strong></li> </ul> <p>&nbsp; &nbsp; import numpy as np<br> &nbsp; &nbsp; data = np.load(&quot;Human_330um.npy&quot;)</p> <ul> <li><strong>Volume and fibre orientation dataset stored in flat format as given below:</strong></li> </ul> <p>&nbsp; &nbsp; i, j, k, v1, v2, v3, ...&nbsp; repeated for each voxel&nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp;&nbsp;</p> <p>where (i, j, k) are voxel coordinates and (v1, v2, v3) are vector components corresponding to fibre orientation within that voxel.</p>