Data Manipulation Software (DMS)

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DMS v1 (January 2010)

The DMS Version 1 constitutes an additional GABRMN effort to provide tools to the biomedical scientific community. This tool will be used to read MRS raw data files from a variety of scanners of different vendors like Philips, Siemens and GE as well as jMRUI intermediary text files in order to process them automatically. The driving idea behind the DMS tool is to obtain a 'canonical' representation of a single voxel spectrum using 512 data points in the range between 7.1 and -2.7 ppm.

All spectra obtained using the DMS cover the same spectral range and have equal number of points, regardless of the original scanner or format of the data. The DMS is the tool that allows to do multi-scanner spectral analysis.

Availability and requirements
Project name: DMS 1.0
Project home page: http://gabrmn.uab.es/dms
Operating system(s): Windows XP or higher
Programming language: Fortran, C, C++ and java.
Other requirements: Java 1.5.0 or higher
License: Available free of charge, subject to the signature of a disclaimer and user agreement text

Downloads and documentation

Version Date Download Documentation (in PDF)
1.0 January 2010 Download help and manual

Citing DMS
We encourage you to cite us if you are using the Data Manipulation Software to process your MRS data. Presently, you can use the following publications:

  1. A. Pérez-Ruiz et al., The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses. 29 November 2010, BMC Bioinformatics 2010, 11:58, DOI:10.1186/1471-2105-11-581
  2. A. R. Tate, J. Underwood, D. M. Acosta, M. Julià-Sapé, C. Majós, A. Moreno-Torres, F. A. Howe, M. van der Graaf, V. Lefournier, M. M. Murphy, A. Loosemore, C. Ladroue, P. Wesseling, J. L. Bosson, M. E. Cabañas, A. W. Simonetti, W. Gajewicz, J. Calvar, A. Capdevila, P. R. Wilkins, B. A. Bell, C. Rémy, A. Heerschap, D. Watson, J. R. Griffiths, C. Arús "Development of a decision support system for diagnosis and grading of brain tumours using in vivo magnetic resonance single voxel spectra" NMR in Biomedicine. Vol. 19. Issue 4. Pag. 411-434.
    DOI - 10.1002/nbm.1016