Program Information
A DICOM-RT Toolkit for Post Treatment Planning Evaluation
V Lahanas1 , E Pappas1 , N Papanikolaou2 , S Stathakis2*, (1) RT Safe P.C., Athens, Attiki, (2) University of Texas HSC SA, San Antonio, TX,
Presentations
SU-I-GPD-T-380 (Sunday, July 30, 2017) 3:00 PM - 6:00 PM Room: Exhibit Hall
Purpose: The aim of this project was to design a DICOM-RT toolbox, RTcompare, to facilitate plan comparisons from multiple treatment planning systems and provide comparison metrics.
Methods: The toolbox was written in Matlab. The GUI (Graphical User Interface) of RTcompare is developed in Matlab (R2015b edition), using Matlab GUI development environment. Support of DICOM is achieved with built-in functions, and visualizations are performed using the Image Processing Toolbox™. Core algorithms regarding DVH and Gamma Index calculations were developed in both Matlab and C++. RTcompare currently supports the inter-comparison of multiple (up to 3) RTdoses of the same patient. Features of the toolbox include isodose distribution comparisons, 1D and 2D gamma index calculation on a slice by slice basis of the axial, sagittal or coronal planes and DVH comparisons. The results of the toolbox were compared to other commercially available solutions. Other functions of the toolbox consist of window and level, fusion of CT and MR images and point dose/HU value reporting.
Results: The toolbox was tested on more than 50 patients. The toolbox offers the possibility of importing treatment plans generated with different treatment planning systems or with different optimizations for evaluation of the dose distributions and comparison.
Conclusion: The DICOM-RT toolbox is an accurate medium for the comparison and analysis of multiple plans. The calculations for the comparison metrics are performed fast and give the user the freedom to perform multiple measurements if necessary without time limitation. The reporting tools available can be used to create reports that can be incorporated in the patient’s chart or they can be used for research purposes. Future work will include 3D gamma index, as well as the extraction/comparison of radiobiological metrics.
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