This page accepts zip folders and tests the contained DICOM files for compatibility with PT processing. If no errors are found the assessments should all report with a green checkmark. Open the corresponding section to see a detailed list of erroneous entries. Please be aware that MMPS is under continued development, additional tags might be required in the future. Please report such issues to the authors so they can be added to this application.
General instructions for pseudonymization/anonymization of DICOM data: Use your PACS or a tool like (MIRC Anonymizer)[http://mirc.rsna.org/download/Anonymizer-installer.jar] for data anonymization. Replace both PatientID and PatientName with the study identifier for the participant. Do not remove private tags.
MMIV Validator for DICOM images encoding positron emission tomography data (PET)
This page only accepts zip folders and parses them for DICOM files. It is safe to use this application on sensitive data as no part of your data will leave your machine. The assessments are performed in your web-browser and at your site.
Number of files: 0 (0 non-DICOM files ignored), Number of series: 0
Assessments
Test if StudyDate is present. The "StudyDate" DICOM tag (0008,0020) should be present and in the correct format, e.g. 20060306 (sixths of march 2006).
Test if Study-, Series- and SOPInstanceUID tags are in each DICOM file. The three identifiers do not contain any patient relevant information. They are needed to identify images that belong together (images in a volume, series in a study).
Test if dose information is present in PT scans. There are four tags we check, Radiopharmaceutical Start Time, Radionuclide Total Dose, Radionuclide Half Life, and Radionuclide Half Life. The four identifiers do not contain any patient relevant information. For SUV value computation we also need to have the weight of the patient.
Private tags CSAImageHeaderInfo and CSASeriesHeaderInfo. If SIEMENS is the manufacturer we expect the CSA header entries (private tags) to have a value.
Manufacturer information. PT analysis will use the Manufacturer tag to decide how to read other tags.
PatientID and PatientName. Both tags should be anonymized but present.
SeriesDescription. A missing SeriesDescription does not prevent data analysis, but it is best to keep a series identifying description to allow users to select the appropriate series for analysis.
