The INTERPRET Decision-Support System (INTERPRET DSS) for human brain tumour diagnosis based on Single Voxel Magnetic Resonance Spectroscopy data allows radiologists, medical physicists, biochemists or, generally speaking, any person with a minimum knowledge of what an MR spectrum is, to enter their own SV raw data, acquired at 1.5 T, and to analyse them.
The INTERPRET DSS version 3.2. is now compatible with the XML format in which jMRUI2XML outputs.
The INTERPRET DSS is a user-friendly software designed to fulfil the needs of potential users in the MRS community.
Availability and requirements
| Plugin name: | INTERPRET Decision-Support System (INTERPRET DSS) |
| Project home page: | http://gabrmn.uab.cat/dss |
| Operating system(s): | Platform independent |
| Programming language: | Java |
| Other requirements: | Java 1.6.0 or higher |
License
Available free of charge, subject to the signature of a disclaimer and user agreement text
Downloads and documentation
The INTERPRET DSS 3.2 plugin and the related documentation can be downloaded from the project home page.
Support
Registered users should use the dedicated forum for all kind of support questions, or to report bugs and suggest new features and improvements.
If you have any problem downloading the software, please contact to:
Citing SpectraClassifier
We would appreciate from you to acknowledge SpectraClassifier in every instance where it has been used. It could be referenced by the following citation:
- Development of a decision support system for diagnosis and grading of brain tumours using in vivo magnetic resonance single voxel spectra. Anne Rosemary Tate et al. NMR in Biomedicine, 2006, 19:411-434. DOI: 10.1002/nbm.1016 (Published 8 June 2006).
- The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses. Alexander Pérez-Ruiz, Margarida Julià-Sapé, Guillem Mercadal, Iván Ollier, Carles Majós and Carles Arús. BMC Bioinformatics 2010, 11:58. DOI: 10.1186/1471-2105-11-581 (Published: 29 November 2010).
Screenshots
Coming soon!
