A novel CT imaging structure based on compressive sensing (CS) is proposed. The main goal is to mitigate the CT imaging time and thus x-ray radiation dosage without compromising the image quality. The utilized compressive sensing approach is based on radial Fourier sampling. Thanks to the intrinsic relation between captured radon samples in a CT imaging process and the radial Fourier samples, partial Fourier sampling could be implemented systematically. This systematic compressive sampling helps in better control of required conditions such as incoherence and sparsity to guarantee adequate image quality in comparison to previous CS based CT imaging structures. Simulation results prove the superior quality of the proposed approach (about 4% better PSNR), achieving the smallest CT scan time and the best image quality.
Abbasi,H , Kavehvash,Z and Shabany,M . (2016). Improved CT Image Reconstruction Through Partial Fourier Sampling. Scientia Iranica, 23(6), 2908-2916. doi: 10.24200/sci.2016.4000
MLA
Abbasi,H , , Kavehvash,Z , and Shabany,M . "Improved CT Image Reconstruction Through Partial Fourier Sampling", Scientia Iranica, 23, 6, 2016, 2908-2916. doi: 10.24200/sci.2016.4000
HARVARD
Abbasi H, Kavehvash Z, Shabany M. (2016). 'Improved CT Image Reconstruction Through Partial Fourier Sampling', Scientia Iranica, 23(6), pp. 2908-2916. doi: 10.24200/sci.2016.4000
CHICAGO
H Abbasi, Z Kavehvash and M Shabany, "Improved CT Image Reconstruction Through Partial Fourier Sampling," Scientia Iranica, 23 6 (2016): 2908-2916, doi: 10.24200/sci.2016.4000
VANCOUVER
Abbasi H, Kavehvash Z, Shabany M. Improved CT Image Reconstruction Through Partial Fourier Sampling. Scientia Iranica. 2016;23(6):2908-2916. doi: 10.24200/sci.2016.4000
