A Respiratory Motion Prediction Based on Time-Variant Seasonal Autoregressive Model for Real-Time Image-Guided Radiotherapy
نویسندگان
چکیده
In radiation therapy, to deliver continuously a sufficient radiation dose to target volume yields a better therapeutic effect. While, avoiding an exposure to healthy tissues surrounding the target volume is also an important requirement for suppressing the adverse effect. Image-guided radiation therapy (IGRT) has potential to achieve the two requirements and as it’s application, stereotactic body radiation therapy (SBRT) has been used in clinic. In SBRT, the irradiated field is positioned with millimeter accuracy by proper daily setup. The accurate irradiation can allow the increase of radiation dose by ignoring the irradiation to the healthy tissues. Indeed, it has been reported that the treatment result of SBRT is comparable to the outcome from surgery [1].
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