AbstractID: 9074 Title: Dosimetric validation of CERR version 2
We have developed CERR: A Computational Environment for Radiotherapy Research
(pronounced ‘sir’). CERR is built on the data analysis and visualization product, Matlab.
We recently released version 2 of CERR, available from http://deasylab.info. New functional components available in version 2 include: sagittal and coronal slice viewers, a tool for surface and transparent volume 3-D visualization of dose and anatomical structures, and a suite of contouring tools for the modification or creation of anatomical structures. Users are supplied with the source code and freedom to modify and use it for any non-commercial and non-clinical application. Dosimetric verification for CERR was carried out by comparing dose–volume histograms (DVHs) generated in CERR to DVHs generated in the original planning system. This is a rigorous test of the data conversion, dose registration, dose interpolation, anatomical structure registration, anatomical polygon-to-scan conversion algorithm, and DVH analysis tools. Errors in any of these components would result in DVH disagreements. An automated Matlab script was written to process DVH comparisons in batch mode. We have compared CERRcomputed DVHs and original DVHs for over 50 NOMOS Peacock-generated treatment plans, which each have an average of about 15 NOMOS’ generate DVHs. In general, excellent agreement between the NOMOS DVHs and the CERR DVHs was observed, although some differences (3-5%) were noted. Similar comparisons with other treatment planning systems are underway. In summary, CERR is able to accurately reproduce
DVHs from a commercial treatment planning system.
This research was supported by CMS, Inc., and NIH grant R29 CA85181.