• 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

BRISKit, Segments, and Masks

The Boundary and Region Identification Software Kit (BRISKit), segments, and masks are provided so that others can validate and improve the existing dataset that is used to create the models listed above. BRISKit is a MATLAB graphical user interface program that was developed for this project and was used to identify the different tissues in each slice of the AustinMan and AustinWoman models. A PDF is included that explains how to use the program. The segmented slices are MATLAB .mat files that contain a matrix with material IDs that correspond to the pixels of the cropped and shifted slice. The masks are the black and white PNG files that distinguish between the body and background material. The links below are to .zip files to make it easier to download the datasets.

BRISKit is now hosted on github to ecourage continued open-source development.

• Boundary and Region Identification Software Kit (BRISKit)
• BRISKit User Guide
• BRISKit Video Tutorial
• AustinMan Masks v2.2-v2.6
• AustinMan Segmented Slices v2.6
• AustinWoman Masks v2.1-v2.6
• AustinWoman Segmented Slices v2.6

Older versions:

• AustinMan Segmented Slices v2.5
• AustinWoman Segmented Slices v2.5
• AustinMan Segmented Slices v2.4
• AustinWoman Segmented Slices v2.4
• AustinMan Segmented Slices v2.3
• AustinWoman Segmented Slices v2.3
• AustinMan Segmented Slices v2.2
• AustinWoman Segmented Slices v2.1
• AustinMan Masks v2.1
• AustinMan Segmented Slices v2.1
• AustinWoman Masks v1.1
• AustinWoman Segmented Slices v1.1

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.