earticle

영어

According to the International Cancer Institute (IARC), the incidence of cancer in the world is rapidly increasing, and in the method of treating cancer, radiation therapy is 45% or more. As in the normal tissue in radiation therapy, to minimize radiation, it is important to maximize the exact dose to the tumor sites for local tumor control rates in intensive research (Local Tumor Rate). Therefore, at the beginning, therapist accuracy of detecting fatigue in the movement of the patient and therapist has been a problem that is weighted down directly. Also, by using a web camera, a difference value between the image to be updated to the reference image is calculated, and if the result exceeds the reference value, using the system for determining the motion has occurred. However, it is not possible in this system to quantitatively analyze the movement of the patient, as the background is changed when moving the treatment bed in the co-therapeutic device was not able to shift the patient. In this paper, using an alpha (α) filter index is an attempt to solve these limitation points, as it quantifies the movement of the patient by separating a background image of the patient and treatment environment, and it only senses movement of the patient during treatment, it was possible to reduce the problems due to patient movement.