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During radiation treatment of lung cancer patients, synchronization of treatment devices and tumor position has been a challenging task due to breathing-induced tumor motion and treatment device latency. One method to mitigate the impact of system latency is to determine the future tumor position. Breathing prediction presents a methodology to determine future tumor position indirectly. Different...
Lung cancer patients who receive radiotherapy as part of their treatment are at risk radiation-induced lung injury known as radiation pneumonitis (RP). RP is a potentially fatal side effect to treatment. Hence, new methods are needed to guide physicians to prescribe targeted therapy dosage to patients at high risk of RP. Several predictive models based on traditional statistical methods and machine...
Intensity modulated radiation therapy (IMRT) for cancers in the lung remains challenging due to the complicated respiratory dynamics. We propose a shape-navigated dense image deformation model to estimate the patient-specific breathing motion using 4D respiratory correlated CT (RCCT) images . The idea is to use the shape change of the lungs, the major motion feature in the thorax image, as a surrogate...
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