Sample data
Example DICOM datasets
These anonymized MRS(I) example datasets are provided for testing, teaching, and demonstrating the spectrIm-QMRS workflow. They can be downloaded, extracted locally, and mounted through the File menu or the Patient/Study Browser.
Supported spectroscopy data
spectrIm-QMRS is primarily organized around clinical DICOM image and spectroscopy data. The example archives below cover Siemens proprietary spectroscopy DICOM data and Philips enhanced DICOM spectroscopy data. They are useful for checking whether the application can parse the examination hierarchy, load reference images, place the spectroscopy grid correctly, and display spectra in anatomical context.
From version 3.1 alpha onward, support for United Imaging spectroscopy file formats is planned as an additional vendor input route. This should make the application more useful for sites that work with United Imaging MR systems, while keeping DICOM-based workflows as a central clinical path.
Download sample datasets
| Dataset | Download | Approx. size | Use |
|---|---|---|---|
| Siemens proprietary spectroscopy DICOM | Siemens-Spectro-Dicom-Proprietary.zip | 106.6 MB | Testing Siemens MRS(I) loading, DICOM hierarchy parsing, and spectroscopy grid display. |
| Philips enhanced spectroscopy DICOM | Philips-Spectro-Dicom-Enhanced.zip | 233.8 MB | Testing Philips enhanced DICOM spectroscopy loading and clinical browser workflows. |
The archives are large. Download them once, extract them into a local data directory, and mount the extracted directory rather than opening files directly from inside the ZIP archive.
How to use the examples
After extracting a dataset, use File > Mount directory... and select the extracted folder. spectrIm-QMRS scans the directory, builds a patient/study hierarchy, and lists available image and spectroscopy instances. Loading the image and spectroscopy series should show the anatomical reference and spectroscopy grid together.
For a written v3 workflow, continue with the interactive processing page. It explains how to inspect the loaded data, select voxels, apply preprocessing, and create simple spectroscopic images before moving to TDFDFit quantification.