AustinMan Electromagnetic Voxels An Open-Source Model Constructed from the Visible Human Dataset

• Introduction
• Methodology
  • Crop
  • Mask
  • Segment & Identify
  • Coarsen & Extrude
• Homogeneous Model
• Assumptions
  • Image Shifts
  • Tissue Material Assumptions
  • Problem Regions
  • Electromagnetic Material Properties
• Known Errors
• Citing the Model
• Acknowledgements
• Conditions of Use
• Contact
• FAQ
• References
  • Papers Using AustinMan
• Sample Applications
• Download Data
  • AustinMan v2.6
  • Spheres
  • BRISKit + Segments
• AustinWoman Page

 

 

 

AustinMan Electromagnetic Voxels v2.0

AustinMan v2.0 is the first whole-body AustinMan model. All 1878 slices are included in this model. Only the even slices (i.e. every 2 mm) were manually corrected for slices 1426 - 2000; 2250 - 2360; and 2756 - 2878. The odd slices were obtained using the previous even slice and an automated script that competes certain pairs of materials. Therefore the odd slices are of lower fidelity than the even ones for these regions of the model. AustinMan v2.0 was completed on February 14, 2012. A list of materials identified in each slice can be found here.

WARNING: The x and y coordinates for this model were switched. This resulted in a mirrored representation of the Visible Human Male, e.g. the liver appears on the left side in this model instead of the right side.

Model Type	Voxel Resolution	Number of Voxels	File Size
Whole Body	2×2×2 mm3	12,999,419	1.74 GB
Whole Body	4×4×4 mm3	1,621,037	211 MB
Whole Body	8×8×8 mm3	199,830	24.5 MB

Older: AustinMan v1.2

Up: Download Data

Newer: AustinMan v2.1

AustinMan Electromagnetic Voxels by
J. W. Massey, C. S. Geyik, J. Choi, H.-J. Lee, N. Techachainiran, C. Hsu, R. Q. Nguyen, T. Latson, M. Ball, and A. E. Yılmaz
is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
Permissions beyond the scope of this license may be available at
http://web.corral.tacc.utexas.edu/AustinManEMVoxels/AustinMan/conditions_of_use/.

This material is based upon work supported by the National Science Foundation under Grant Number OCI-0904907. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.