Research on CT System Image based on Back Projection Reconstruction Model
CT technology has been widely used in clinical medicine, industrial engineering and other fields in contemporary society. Since the traditional back projection reconstruction algorithm will introduce star artifacts, we decide to use a parallel beam filtered back projection reconstruction model based on Radon changes and R-L filters. Since the rotation center of the system does not coincide with the geometric center, the data will be missing when using Radon transformation, so we carry out "edging" processing on the square tray. After processing the data to remove the gain (where the gain coefficient is 2.0033) and removing the "edge" at the end of the filtering, we reconstructed the detected object and obtained the absorption rates of the ten points required by the problem as follows :0.0126, 2.2902, 5.9159, 0.0163, 0.0823, 3.1336, 6.0333, 0.0000, 7.7184, 0.0861.
Authors
- Yating Wu (ORCID: https://orcid.org/0000-0001-9280-7669)
- Ruofeng Yu (ORCID: https://orcid.org/0000-0002-5189-736X)
- Ruoyu Yu
Institutions
- Fujian University of Traditional Chinese Medicine (CN)
- Xiamen University (CN)
Publication Details
- Journal
- Frontiers in Computing and Intelligent Systems
- Published
- 2024-11-26
- DOI
- https://doi.org/10.54097/dmkac495
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00