An imperceptible incorrectness in deriving data consistency condition from John’s equation for cone-beam CT imaging

Tang, Shaojie; Li, Baolei; Zhang, Qiao; Zhu, Yining; Cong, Gao; Wang, Yupeng; Yuan, Hao; Yao, Tingwei; Han, Jingting; Hu, Yi‐Xiong; Cao, Dong; Deng, Yu; Yu, Fuhua; Shen, Jiandong; Fan, Jiancun

doi:10.1016/j.ijleo.2019.163603

Cited by 2 publications

(2 citation statements)

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“…To retrieve the information in the time domain once again, the inverse Fourier transform is then carried out after the transformation is multiplied by the filter function ω in the frequency domain, as in Equation (9).…”

Section: Forward Projection Processing and Reconstructionmentioning

confidence: 99%

“…While it is limited to a few angles [5][6][7] either for faster sampling or for smaller exposure to radiation. Practically, the range of views that can be observed in a few observations is constrained due to physical restrictions on the acquisition method [8,9]. The width of the contiguous missing data and the sparse measurements have typically dominated structural deformation.…”

Section: Introductionmentioning

confidence: 99%

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Complex artefact suppression for sparse reconstruction based on compensation approach in X‐ray computed tomography

Yang

Zhang

Huang

et al. 2022

IET Image Processing

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To provide high-quality imaging by decreasing the sparse view imaging artefact from the computed tomography (CT) images, this study addresses a new artefact suppression technique for sparse data for both single material and multi-material objects that have diverse materials. It begins with a pre-reconstructed image and a network of target patches that have been trained beforehand and then uses the forward projection (FP) approach to resolve the structural mutation brought on by sparse-view projection. As an edge-preserving operator to commit to the forward operator for sinogram correction, the bilateral filter was used. Both simulated and actual data have been gathered and evaluated in experiments. The suggested forward operator and normalized compensation (FONC) method produce results that have far smaller artefact and errors than those of more traditional techniques. For simulation # blade, the Normalized Mean Square Distance (NMSD) of the proposed method was reduced by 8.94%, Structural Similarity Index (SSIM) and the Universal Quality Index (UQI) were increased by 78.17% and 80.49%, respectively, which also demonstrate better uniformity of the results to practical data # pan, where the root mean squared error was reduced by 13.93%. SSIM and UQI were increased by 25.66% and 37.02%, respectively. The results conclusively show that the planned strategies are successful in eliminating artefact for irregular objects.

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Section: Forward Projection Processing and Reconstructionmentioning

confidence: 99%