Development of image reconstruction using FPGA

Muji, Siti Zarina Mohd; Amirulah, Rahman; Ambar, Radzi; Rahim, Ruzairi Abdul; Rahiman, Mohd Hafiz Fazalul

doi:10.1109/iccsce.2016.7893538

Cited by 1 publication

(2 citation statements)

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“…Billions of LORs (depending on scanning time) saved in a group of parallel sinograms are recombined and reconstructed into tomographic images. As each single slice of the image reconstruction is independent, a group of sinograms can be reconstructed to image slices in parallel by using the multi-FPGA system [15][16][17]. The parallel processing used to reconstruct the image slices is shown in Figure 2.…”

Section: Tomographic Images Reconstructed In Fpgamentioning

confidence: 99%

See 1 more Smart Citation

Fast γ Photon Imaging for Inner Surface Defects Detecting

Yao

Luo

Zhao

et al. 2021

Sensors

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Only a few effective methods can detect internal defects and monitor the internal state of complex structural parts. On the basis of the principle of PET (positron emission computed tomography), a new measurement method, using γ photon to detect defects of an inner surface, is proposed. This method has the characteristics of strong penetration, anti-corrosion and anti-interference. With the aim of improving detection accuracy and imaging speed, this study also proposes image reconstruction algorithms, combining the classic FBP (filtered back projection) with MLEM (maximum likelihood expectation Maximization) algorithm. The proposed scheme can reduce the number of iterations required, when imaging, to achieve the same image quality. According to the operational demands of FPGAs (field-programmable gate array), a BPML (back projection maximum likelihood) algorithm is adapted to the structural characteristics of an FPGA, which makes it feasible to test the proposed algorithms therein. Furthermore, edge detection and defect recognition are conducted after reconstructing the inner image. The effectiveness and superiority of the algorithm are verified, and the performance of the FPGA is evaluated by the experiments.

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Section: Tomographic Images Reconstructed In Fpgamentioning

confidence: 99%

“…group of sinograms can be reconstructed to image slices in parallel by using the multi-FPGA system [15][16][17]. The parallel processing used to reconstruct the image slices is shown in Figure 2.…”

Section: Tomographic Images Reconstructed In Fpgamentioning

confidence: 99%