Brain tumor diagnosis with MRS: The single voxel INTERPRET Decision-Support System version 2.0
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Pérez Ruiz, Alexander | 2008
A medical off-line decision support system (DSS) for helping in the diagnosis and grading of brain tumours was developed in the frame of a multicentric European project [1] and has been further developed up to version 2.0 since 2003. This system is based on the analysis of SV-derived MRS data from 1.5 T MRI scanners. The current 2.0 version has the following new features with respect to the initial version:
- Capability for entering SV RAW DATA for testing new cases from the following manufactures: Philips, Siemens "raw" and GE up to version 9x (using shf header file).
- Capability for entering jMRUI-processed spectra.
- Retrained classifier for short TE.
- Classifier for long TE, for the following superclasses: low-grade meaningioma, low-grade glial and high-grade aggresive (glioblastomas and metastases).
- Capability for making personalised overviews at Long TE in addition to the already avialable short TE.
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