Optical character recognition for Varian Real-Time Position Management System
Project description
Optical Character Recognition for Varian Real-time Position Management system
The Varian Real-time Position Management (RPM) system is a video-based system that compensates for target motion, enabling improved treatment in cancer by tracking the position of a reflective marker placed on the patient in three dimensions (vertical, longitudinal and lateral). The RPM system can detect unexpected motion, providing additional confidence that the target is always accurately positioned for treatment, so the planned dose is delivered to the tumor. If there is movement, the RPM system detects the interruption and instantly gates the beam off. The RPM system uses an infrared tracking camera and a reflective marker placed on the patient and measures the patient’s respiratory pattern and range of motion. It displays them as three waveforms (vertical, longitudinal, and lateral. 1 ) These will be smooth given that the beam is stopped if there is any patient movement.
In order to determine the position of the Varian Infrared Block on the true beam radiotherapy system when the couch is moving, we take a video of the signal coming from the Infrared tracking camera of the RPM system. The camera should be perpendicular to the system and taken with a tripod to minimize noise due to movement. From there, we use computer vision techniques, machine learning based optical character recognition (OCR), and develop anomaly detection techniques to reproduce the three waveforms described above. Due to FDA approval limitations, currently only 30 seconds of these waveforms can be extracted directly from the RPM system. With our method, an unlimited time period of movement can be analyzed and extracted.
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