|SUBJECT:||M.S. Thesis Presentation|
|TIME:||Thursday, July 20, 2017, 3:30 p.m.|
|PLACE:||Boggs Building, 3-47|
|TITLE:||Design of an x-ray CT system with implementation of sparse-data reconstruction|
|COMMITTEE:||Dr. Anna Erickson, Chair (NRE)
Dr. C-K Chris Wang (MP)
Dr. Justin Roper (MP)
It is hard to understate the importance of CT imaging in modern medicine. 50% of all medical dose in 2007 was due to CT scans. There is a trade-off between radiation dose and quality of image in x-ray imaging, but dose should be kept as low as reasonably achievable. Filtered backprojection is typically inadequate for low-dose scan needs, but recent progress in inverse problems has shown that reconstruction from sparsely sampled data is possible while maintaining reasonable image quality. In this work, an industrial-like tabletop CT system is designed, which via retrospective downsampling implements sparse-data reconstruction. Image quality metrics are assessed.