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Performance evaluation and quantitative comparison of two 4DCT imaging respiratory systems using deformable image
Ali Al-Zein1, Rawan H Naim1, Wassim Jalbout1
1Radiation Oncology Department, American University of Beirut Medical Center, Beirut, Lebanon.
Journal of Applied Clinical Medical Physics
|October 10, 2025
Summary
The GateCT and ANZAI respiratory monitoring systems show comparable accuracy for four-dimensional CT (4DCT) imaging. Both systems effectively provide crucial respiratory information for precise radiation therapy targeting.
Area of Science:
- Medical Imaging
- Radiation Oncology
- Respiratory Motion Management
Background:
- Accurate 4DCT imaging and precise tumor targeting are vital for effective radiation therapy.
- Respiratory motion significantly impacts treatment accuracy.
- Novel systems are needed to reliably track respiratory patterns during imaging.
Purpose of the Study:
- To evaluate the accuracy of the GateCT system compared to a pressure sensor system (ANZAI) for 4DCT acquisition.
- To assess the systems' ability to provide respiratory information for radiation therapy.
Main Methods:
- A dynamic breathing phantom with three spheres was used to simulate respiratory motion.
- GateCT and ANZAI systems tracked breathing patterns.
- Deformable image registration analyzed image sets from different breathing phases against static images.
- Metrics included Dice Similarity Coefficient (DSC), Mean Surface Distance (MSD), and volume estimation error.
Main Results:
- Both systems achieved high accuracy, with DSC values > 0.90 across all spheres and phases.
- Mean DSC values were comparable (e.g., 0.980 vs. 0.977 for sphere A).
- MSD was consistently < 2 mm, and volume estimation errors were statistically insignificant (p > 0.05).
Conclusions:
- Deformable image registration is effective for quantifying respiratory system performance.
- Both GateCT and ANZAI systems demonstrate comparable performance in providing 4DCT with respiratory information.
- These findings support the use of these systems for enhanced radiation therapy planning.
