Breadcrumb Home Departments Radiation Oncology Research & Technologies Medical Physics Research Breathing Motion Modeling in Radiation Therapy Radiation Oncology Breathing Motion Modeling in Radiation Therapy Sub-navigation Sub-navigation Medical Physics Research 4 Pi Radiation Therapy Automation of Treatment Planning & Treatment Quality Brachytherapy Related Projects Breathing Motion Modeling in Radiation Therapy MR Simulation Monte Carlo Method in Radiation Oncology Tomotherapy Related Projects Viewray Related Project 5DCT Respiratory Motion Modeling Accurate time-resolved imaging is crucial to the management of respiratory motion in radiation therapy treatment planning. Conventional techniques for producing breathing gated images commonly suffer from artifacts due to their inability to account for irregular breathing cycles. A novel CT acquisition and analysis technique, 5DCT, is utilized at UCLA in order to better inform treatment plan design for mobile tumors. Compared to current commercial protocols, 5DCT offers several advantages: Images do not contain artifacts that arise from the sorting of images performed by commercial techniques. Any number of images at user-selected breathing phases can be generated without altering the acquisition protocol. Resulting images are low-noise while patient dose remains similar to or less than current techniques, and the entirety of the imaging dose potentially contributes to image quality. Figure 1. Flow chart describing the technique. 5DCT exploits standard fast helical acquisition with simultaneous breathing surrogate measurement, deformable image registration, and a breathing motion model to remove sorting artifacts. The accuracy of the motion model is assessed by reconstructing the original fast helical scans, which provide a ground truth. Figure 2. (Left column) Examples of clinical 4DCT images. (Right column) Sorting artifact-free image generated using the 5D technique. Figure 3. Example of a breathing gated image created using 5DCT.