Abstract
With the goal of producing a less computationally intensive alternative to fully iterative penalized-likelihood image reconstruction, our group has explored the use of penalized-likelihood sinogram restoration for transmission tomography. Previously, we have exclusively used a quadratic penalty in our restoration objective function. However, a quadratic penalty does not excel at preserving edges while reducing noise. Here, we derive a restoration update equation for nonquadratic penalties. Additionally, we perform a feasibility study to extend our sinogram restoration method to a helical cone-beam geometry and clinical data. A restoration update equation for nonquadratic penalties is derived using separable parabolic surrogates (SPS). A method for calculating sinogram degradation coefficients for a helical cone-beam geometry is proposed. Using simulated data, sinogram restorations are performed using both a quadratic penalty and the edge-preserving Huber penalty. After sinogram restoration, Fourier-based analytical methods are used to obtain reconstructions, and resolution-noise trade-offs are investigated. For the fan-beam geometry, a comparison is made to image-domain SPS reconstruction using the Huber penalty. The effects of...Continue Reading
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Aug 18, 2017·IEEE Transactions on Medical Imaging·Jin LiuWufan Chen
Sep 29, 2018·Physics in Medicine and Biology·Yongbo WangJianhua Ma
Jul 10, 2019·Journal of X-ray Science and Technology·Xiaojuan DengHongwei Li
May 14, 2019·Journal of X-ray Science and Technology·Xiaojuan DengHongwei Li