报告题目：Advanced image reconstruction and motion modeling for high quality 4D-Cone Beam CT
Abstract ：Cone-beam computed tomography (CBCT) has been widely integrated into treatment machines in radiation therapy. In the integrated systems, imaging can be performed with a patient in the actual treatment position, allowing direct visualization of the target and relevant anatomy in the treatment room. In addition, the CBCT images also provide anatomical and density information of the patient in the treatment position, which can then be used to calculate and verify the radiation dose delivered to the patient.
Although CBCT offers significant advantages for improving radiotherapy, it failed to be used for moving organ imaging cases such as the lung respiration imaging task. Conventional 3D-CBCT is not suitable to offer high quality dynamic lung images due to serious motion blurring artifacts. To overcome this drawback, several 4D-CBCT techniques have been proposed recently. In this talk, I will present my recent work on 4D-CBCT image reconstruction and motion modeling for image-guided adaptive radiation therapy, especially on deformation field based motion compensated 4D-CBCT. The talk will contain mathematical concepts, simulation phantom validation, physical phantom test as well as clinical data evaluation for high quality 4D-CBCT.