| 摘要 |
The CT imaging system optimizes its image generation by frequently updating an image and adaptively minimizing the total variation in an iterative reconstruction algorithm using many or sparse views under both normal and interior reconstructions. The projection data is grouped into N subsets, and after each of the N subsets is processed by the ordered subsets simultaneous algebraic reconstruction technique (OSSART), the image volume is updated. During the OSSART, no coefficients is cached in the system matrix. This approach is intrinsically parallel and can be implemented with a GPU card. Due to the more frequent image update and the variable step value, an image quality has improved.
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