Software for MABMIS: Multi-Atlas Based Multi-Image Segmentation

This software package implements MABMIS: Multi-Atlas Based Multi-Image Segmentation – an algorithm for effective atlas-based groupwise segmentation.

0. Download packages

Software package for download at

1. Software manual: download.

2. Software package: windows and linux 64-bit.

1. Purpose

This software package implements MABMIS: Multi-Atlas Based Multi-Image Segmentation [1] – an algorithm for effective atlas-based groupwise segmentation, which has been published as:

Hongjun Jia, Pew-Thian Yap, Dinggang Shen, "Iterative Multi-Atlas-Based Multi-Image Segmentation with Tree-Based Registration", accepted for NeuroImage.

The package is available free to the public for the academic research purpose at http://bric.unc.edu/ideagroup/free-softwares/.

This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

2. System requirements

This software is developed using ITK and has been tested on Windows XP (32-bit) and Linux (64-bit, kernel version 2.6.18-194.el5).

The required input is a set of 3D MR atlas image and another set of target intensity images to be segmented (in Analyze format with paired .hdr and .img files) with a text file (.txt) listing all header file (.hdr) names. The output is the set of segmentation images corresponding to all target intensity images.

3. Image pre-processing

The images should be in Analyze format with paired header and image files. All images should be preprocessed so that they have been affinely aligned together.

4. Software package

Package for win-32bit includes:

MABMIS_GUI_main.exe, MABMIS_command.exe, MSVCP80.dll, MSVCR80.dll, MSVCM80.dll, tcl85.dll, tk85.dll, a tcl/tk library folder: lib, and vcredist_x86.exe

Package for linux-64bit includes:

MABMIS_GUI_main, MABMIS_command

Test data for MABMIS includes 8 atlases with labels (AA ~ AH, extracted from LONI) and 6 images to be labeled (UA, UB, VA, VB, WA and WB, extracted from ADNI). Please input 8 in the field of number of atlases and select all_ids.txt as the IDs file.

5. Software document

Please read lastest MABMIS software manual.

6. Reference

[1] Hongjun Jia, Pew-Thian Yap, Dinggang Shen, "Iterative Multi-Atlas-Based Multi-Image Segmentation with Tree-Based Registration", accepted for NeuroImage.

7. Contact us

For any questions or bug reports, please email jiahj@med.unc.edu.

8. Update history

 

20110728   Update NITRC download webpage

20110725   Update packages

20110502   Upload files

This page last updated on Jul. 28, 2011.