Browse > Article
http://dx.doi.org/10.7742/jksr.2017.11.7.655

Image Reconstruction of Sinogram Restoration using Inpainting method in Sparse View CT  

Kim, Daehong (Department of Radiological Science, Eulji University)
Baek, Cheol-Ha (Department of Radiological Science, Dongseo University)
Publication Information
Journal of the Korean Society of Radiology / v.11, no.7, 2017 , pp. 655-661 More about this Journal
Abstract
Sparse view CT has been widely used to reduce radiation dose to patient in radiation therapy. In this work, we performed sinogram restoration from sparse sampling data by using inpainting method for simulation and experiment. Sinogram restoration was performed in accordance with sampling angle and restoration method, and their results were validated with root mean square error (RMSE) and image profiles. Simulation and experiment are designed to fan beam scan for various projection angles. Sparse data in sinogram were restored by using linear interpolation and inpainting method. Then, the restored sinogram was reconstructed with filtered backprojection (FBP) algorithm. The results showed that RMSE and image profiles were depended on the projection angles and restoration method. Based on the simulation and experiment, we found that inpainting method could be improved for sinogram restoration in comparison to linear interpolation method for estimating RMSE and image profiles.
Keywords
Sparse view CT; Sinogram; Inpainting;
Citations & Related Records
연도 인용수 순위
  • Reference
1 E. Y. Sidky, Y. Duchin, X. Pan, C. Ullberq, "A constrained, total-variation minimization algorithm for low-intensity x-ray CT", Medical. Physics. Vol. 38, pp. 117-125, 2011.   DOI
2 H. Wang, A Kaestner, Y. Zou, Y. Lu, Z. Guo, "Sparse-view reconstruction of dynamic processes by neutron tomography", Physics Procedia, Vol. 88, pp. 290-298, 2017.   DOI
3 H. Zhang, M. Kruis, JJ. Sonke, "Directional sinogram interpolation for motion weighted 4D cone-beam CT reconstruction", Physics in Medicine & Biology, Vol. 62, No. 6, pp. 2254-2275, 2017.   DOI
4 C. Zhe, B. Parker, D. Feng, "Temporal compression for dynamic positron emission tomography via principal component analysis in the sinogram domain," IEEE nuclear science symposium conference record, 2003.
5 H. Kostler, M. Prummer, U. Rude, J. Hornegger, "A daptive variational sinogram interpolation of sparsely sampled CT data", The 18thInternational conference on Pattern recognition, 2006.
6 A. Rosa, "Study and evaluation of text inpainting techniques for images and video", https://fenix.tecnico.ulisboa.pt/downloadFile/1126295043834175/ResumoAdelcioRosa.pdf
7 M. Bertalmio et al., Image inpainting, 27th Conf. on Computer graphics and interactive techniques. USA, 2000.
8 R. A. Brooks, G. H. Weiss, A. J. Talbert, "A new approach to interpolation in computed, J. Comput. Assisted Tomography", Vol. 2, No. 5, pp. 577-585, 1978.   DOI
9 M. Kalke, S. Siltance, "Sinogram interpolation method for sparse-angle tomography", Applied Mathematics, Vol. 5, pp. 423-441, 2014.   DOI