Software package to perform a whole-brain segmentation of a T1-weighted magnetic resonance brain image. The essential modules of MALPEM are: N4 bias correction, pincram brain extraction, label propagation (ireg), label fusion (Gaussian weighted local label fusion), label refinement (EM algorithm).
MALPEM should run on any 64-bit Linux machine or on MacOS/Windows using a Virtual machine. Please see 'README' file provided in the package for more information. 

[Download installer: MALPEM v1.3 (20 kB)]
[Source available on GitHub]

[README]
[Example PDF report]

Description: To run MALPEM download the above package and run './malpem_installer/malpem-install' for installation. For further instructions on how to install and run MALPEM see provided 'README' file. MALPEM will calculate a binary brain mask, a structural segmentation (138 structures) and a PDF report.


The methodology is described in the following publications:

(please cite for MALPEM framework and structural segmentation)
C. Ledig, R. A. Heckemann, A. Hammers, J. C. Lopez, V. F. J. Newcombe, A. Makropoulos, J. Loejoenen, D. Menon and D. Rueckert, “Robust whole-brain segmentation: application to traumatic brain injury,” Medical Image Analysis, 21(1), pp. 40-58, 2015. [pdf] [doi] [bib] 

(please cite for brain extraction) 
R. Heckemann, C. Ledig, K. R. Gray, P. Aljabar, D. Rueckert, J. V. Hajnal, and A. Hammers, “Brain extraction using label propagation and group agreement: pincram,” PLoS ONE, 10(7), pp. e0129211, 2015. [doi][pdf][bib] 

(Additional related publications)
C. Ledig, R. A. Heckemann, P. Aljabar, R. Wolz, J. V. Hajnal, A. Hammers, and D. Rueckert, “Segmentation of MRI brain scans using MALP-EM,” MICCAI 2012 Grand Challenge and Workshop on Multi-Atlas Labeling, pp. 79-82, 2012. [pdf] [bib] 

C. Ledig, R. Wolz, P. Aljabar, J. Loetjoenen, R. A. Heckemann, A. Hammers, and D. Rueckert, “Multi-class brain segmentation using atlas propagation and EM-based refinement,” Proceedings of ISBI 2012, pp. 896-899, 2012. [pdf][bib] [doi]