Aims and objectives
To collect radiation dose data at acquisition nodes using ionizing radiation.
The devices in scope are of course CT and digital radiography systems,
certainly including cardio-vascular systems,
mammography systems and mobile C-arms.
The dose related data is gathered in different ways to be stored together with the images in DICOM format in a PACS.
The current PACSystems are only able to store those DICOM objects.
The uniform presentation of the content of those objects and the statistical analyses is inadequate in most of the current...
Methods and materials
The implementation and setup of a service class provider for the involved DICOM objects in order to enable an automated registration of the dose data.
This approach should be independent from modalities and vendors,
including CT,
MG,
XA,
DX and PET-CT.
Different communication models need to be organized between each acquisition node and the dose management system.
The modus of operandi depends on the kind of object each modality is able to provide to the dose management system (DMS).
[1] [2] [3]
DICOM objects like...
Results
The DMS acting as a worklist service class user compares the obtained list of procedures and patient information with those of previously performed procedures stored in the dosimetric database.
The extraction methods determine the features of the datasets,
creating advantages and also limitations.
Concerns are:
• Duplicated data caused by repeated storages
• Insufficient and missing data:
- When information is extracted from image headers
- If rejects are not stored
- Fluoroscopy dose data is not always reported
• Incomplete patient data provided by...
Conclusion
Aninbound HL7 interface is needed to be able to apply the necessary patient demographic updates as patient information updates,
patient merges and procedure updates from the HIS or its departmental subsystems.
A Dose Management System helps to detect and to remediate on high dose exposures in the full range of applied procedures over the different generations of image acquisition modalities in a vendor independent way.
Statistical analysis followed by outlier detection supports management in a rather complex environment dealing with a wide variation in equipment,...
Personal information
Verhelle Filip,
MSc.
UZ Brussel
Department of Radiology
Laarbeeklaan 101
1090 Brussel
[email protected]
References
[1] D.
Clunie,
Radiation Dose Structured Reports,
Imaging Informatics 2,
AAPM Annual Meeting 2013
[2] D.
Clunie,
Extracting,
Managing and Rendering DICOM Radiation Dose Information from Legacy & Contemporary CT Modalities,
DICOM International Conference & Seminar,
Oct 9-11,
2010 Rio de Janeiro,
Brazil.
[3] S.
Balter,
Imaging Educational Course DICOM Dose SR,
AAPM EC handout,
Jul 30,
2011
[4] D.
Clunie,
Automated recording of radiation dose from modalities.
Presentation given at Spring UK Imaging Informatics Group Meeting,
27 April 2012,
British Institute of Radiology,
London...