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Calibration and volunteer testing of a prototype contactless respiratory motion detection system based on laser
Isnaini Nur Islami1, Amar Ma'ruf Irfan Muhamadi2, Wahyu Edy Wibowo3
1Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, West Java, 16424 Indonesia and Department of Radiation Oncology, Dr. Cipto Mangunkusumo National General Hospital Central, Jakarta, Indonesia.
A new laser-based respiratory motion detection system shows feasibility for cost-effective breath monitoring. Volunteer tests confirm its accuracy, correlating well with clinical systems for improved cancer treatment delivery.
Area of Science:
- Medical Physics
- Biomedical Engineering
- Respiratory Monitoring
Background:
- Accurate respiratory motion detection is crucial for effective radiation therapy delivery.
- Existing systems can be costly and complex.
- A cost-effective, laser-based solution is needed to improve accessibility and precision.
Purpose of the Study:
- To evaluate the feasibility of a prototype laser-based respiratory motion detection system.
- To assess its performance through calibration and volunteer testing.
- To establish its potential as a cost-effective alternative for breath monitoring.
Main Methods:
- Calibration tests using Anzai AZ-773 V and CIRS motion phantoms for spatial, amplitude, and temporal accuracy.
- Volunteer testing with eight participants, monitoring the sternum and abdomen.
- Validation against clinical systems: Real-Time Position Management (RPM) and Anzai AZ-733 V.
Main Results:
- Calibration achieved an average error of 1.17% ± 0.64% and amplitude correlation of 0.975 ± 0.004.
- Volunteer tests showed strong correlation coefficients: 0.931 ± 0.02 (deep inspiration) and 0.85 ± 0.07 (free breathing) against Anzai AZ-733 V.
- Correlations against RPM were also high: 0.936 ± 0.03 (deep inspiration) and 0.77 ± 0.1 (free breathing).
Conclusions:
- The laser-based system demonstrates good performance with errors below 10%.
- Consistent readings with phantom and clinical systems indicate reliability.
- Further research is needed to integrate with CT and linear accelerators for clinical application.
