[Calculating the Hausdorff distance based on the scripting in RayStation treatment planning system]
F B Guo1, C S Cai1, W J Zhang1
1The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Zhonghua Zhong Liu Za Zhi [Chinese Journal of Oncology]
|December 21, 2017
Summary
This study developed a scripting method in RayStation to calculate Hausdorff distance, effectively measuring brain stem deformation errors in image registration. The approach provides accurate and efficient results for clinical and research applications.
Area of Science:
- Medical Physics
- Radiotherapy Planning
- Image Analysis
Background:
- Accurate measurement of anatomical changes is crucial in radiotherapy.
- Image registration between CT and MR images aids in precise treatment planning.
- Quantifying deformation errors, such as for the brain stem, is essential for patient safety.
Purpose of the Study:
- To develop and validate a scripting-based method for calculating Hausdorff distance within the RayStation treatment planning system.
- To apply this method for measuring brain stem deformation errors during automatic image registration (CT-MR).
Main Methods:
- Utilized IronPython scripting in RayStation (v4.7) to compute Hausdorff distance between regions of interest (ROIs).
- Developed a graphical user interface (GUI) using XAML for visualized output and user interaction.
- Automated the selection of ROIs and calculation of Hausdorff distance and processing time.
Main Results:
- The mean Hausdorff distance for the brain stem in 20 patients with head and neck neoplasms was 1.20 cm.
- The average computation time for the Hausdorff distance calculation was 11.01 seconds.
- The developed GUI facilitated visual interaction and display of results within the RayStation system.
Conclusions:
- The developed scripting method enables accurate Hausdorff distance calculation for any two ROIs in RayStation.
- The integrated GUI enhances usability for both clinical and research purposes.
- RayStation system, with this enhancement, meets the demands for Hausdorff distance computation in radiotherapy.
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