研究目的
To investigate readout of unexposed kV frames as a means to improve the kV image quality in intratreatment imaging, addressing the issue of cross-scatter from the MV treatment beam.
研究成果
The device for triggering readout of unexposed frames significantly improves intratreatment kV image quality by reducing MV scatter. The theoretical model effectively predicts CNR improvements, with multiple unexposed frame readouts making CNR independent of imaging frequency. This approach can reduce imaging dose in clinical applications.
研究不足
The automatic offset correction by the imager system was incorrect for unexposed frame readout, requiring manual correction. The model assumes image lag is time-independent and neglects stripe artifacts from MV pulses. Saturation of the kV imager by MV scatter affected contrast measurements, and the model had poorer agreement for the air cavity due to contrast reduction.
1:Experimental Design and Method Selection:
The study involved acquiring fluoroscopic kV images with and without simultaneous MV radiation, using an in-house built device to trigger readout of unexposed frames. A theoretical model based on image lag and noise was developed to predict CNR improvements.
2:Sample Selection and Data Sources:
A solid water phantom with an embedded gold marker and an air cavity was used. Image series were acquired under various conditions, including different MV dose rates and imaging frequencies.
3:List of Experimental Equipment and Materials:
Equipment included a Trilogy linear accelerator with On-Board Imager (OBI), solid water phantom, gold marker, air cavity, steel plate for lag measurement, and the in-house built trigger device.
4:Experimental Procedures and Operational Workflow:
kV images were acquired at frequencies from 1 to 15 Hz, with MV beam on/off, and with zero, one, or multiple unexposed frame readouts. Image lag was measured using a moving steel plate. Data were processed for CNR calculation.
5:Data Analysis Methods:
CNR was calculated using mean and standard deviation of signal intensities. The theoretical model used empirical constants from measurements without the trigger device to predict CNR.
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