研究目的
To develop and validate a single-probe algorithmic method for removing Cherenkov light in scintillator dosimetry using temporal waveform analysis in pulsed X-ray beams.
研究成果
The developed algorithmic approach effectively removes Cherenkov light using a single probe by fitting temporal waveforms, with results matching ionisation chamber data within 4% on average. It is more effective for beams with high temporal variability (e.g., 6 MV) and allows for on-line dosimetry, though noise and waveform smoothness require further optimization.
研究不足
The method is less effective with waveforms that have minimal temporal fluctuations (e.g., 10 MV beams), and accuracy is impacted by noise in the experimental waveforms. Data acquisition and analysis are currently separate, leading to memory and time inefficiencies. The low signal-to-noise ratio due to small scintillator volume and light yield affects fitting accuracy.
1:Experimental Design and Method Selection:
The methodology involves measuring Cherenkov-only waveforms, generating scintillation templates via convolution with the scintillation response function, and using least-squares fitting to separate Cherenkov and scintillation contributions in the net signal.
2:Sample Selection and Data Sources:
Data were collected using a scintillator probe and a background subtraction probe in a Gammex RMI 457 Solid Water phantom, with X-ray beams from a Varian 21iX CLINAC at energies of 6 MV and 10 MV, and field sizes of 5x5 cm2 and 10x10 cm2.
3:List of Experimental Equipment and Materials:
Scintillator probe with BC-444 plastic scintillator, RCA-4526 photomultiplier tube (PMT), Picoscope PS-6404 digitizer, Varian 21iX CLINAC, Thorlabs LTS-150 translation stage, LabView 2015 for control, Python
4:6 for analysis, and Scanditronix/Wellhofer CC13 ionisation chamber for reference. Experimental Procedures and Operational Workflow:
The probe was scanned through the beam using a translation stage, with data sampled at 625 MHz (
5:6 ns period), 100 pulses averaged per waveform, and Cherenkov templates generated from 45,000 pulses. Fitting was performed using Python's SciPy module to find amplitudes for subtraction. Data Analysis Methods:
Data were analyzed using least-squares fitting to determine scintillation and Cherenkov amplitudes, with dose calculated by subtracting the weighted Cherenkov template from the net signal. Comparisons were made to ionisation chamber data using average relative squared difference.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容