Virtual Improvement of Angular Resolution of a Tomographic Acquisition System


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


This paper suggests an algorithm that improves the tomographic reconstruction quality of a parallel acquisition geometry through a virtual, yet substantial increase in the angular resolution of the measuring physical device responsible for acquiring the set of projections either by X-rays attenuation, as in the case of CT scanners, or by counting gamma photon as in  tomographic mode of a gamma camera with a rotating flat panel detector. The suggested method is based on an estimated calculation of a virtual projection using the zero-padding. The results show a significant reduction of the star effect noise on the reconstructed image. Our algorithm was experimented with a R×R (R number of pixels in row and column) value phantom simulating the human body while the programming is carried out in MATLAB 6.5.
Copyright © 2014 Praise Worthy Prize - All rights reserved.

Keywords


Filtered Back Projection; Computed Tomography; Zero Padding; Radon Projection Estimations

Full Text:

PDF


References


R.GORDON ,Reconstruction of surfaces from profils, in proc , IEEE 1st int conf. Comput vision , 1987 PP136-144.

W. wagner, Rconstructions From Restricted Region Scan Data-New Means To Reduce The Patient Dose , IEEE transactions on nuclear science, Vol, ns26 No,2 April 1979.

M. Li, H. Yang, H. Kudo, An accurate iterative reconstruction Algorithm for sparse objects: Application to 3-D blood vessel reconstruction from a limited number of projections, Phys. Med. Biol., vol.47, pp. 2599–2609, 2002.

A. C. Kak and M. Slaney, Principles of Computerized Tomographic Imaging. (New York: IEEE Press, 1988).

G. H. Weiss, A. J. Talbert, and R. A. Brooks, “The use of phantom views to reduce CT streaks due to insufficient angular sampling, Phys. Med. Biol., vol. 27, no. 9, pp. 1151–1162, 1982.

R. R. Galigekere, K. Wiesent, and D. W. Holdsworth, “Techniques to alleviate the effects of viewaliasing artifacts in computed tomography,” Med. Phys., vol. 26, no. 6, pp. 896–904, 1999.

K. P. Prasad and P. Satyanarayana, "Fast interpolation algorithm using FFT," Electron. Lett. 22, pp. 185—187, 1986.

T. J. Cavicchi, DFT time-domain interpolation, lEE Proceedings-F 139, pp. 207—211, 1992.

P. J. La Rivière and X. Pan, Mathematical equivalence of zero-padding and circular sampling thorem interpolation with implications for direct Fourier image reconstruction, in Proc. SPIE, vol. 3338, pp. 1117—1126, 1998.

M. Endo, S. Mori, T. Tsunoo, S. Kandatsu, S. Tanada, H. Aradate, Y. Saito, H. Miyazaki, K. Satoh, S. Matsusita,and M. Kusakabe, Development and Performance Evaluation of the First Model of 4-D CT-Scanner, IEEE TRANSACTIONS ON NUCLEAR SCIENCE, VOL. 50, NO. 5, OCTOBER 2003.

Y.LI, Interpolation based reconstruction methods for tomographic imaging in 3D positron emission Tomography, Int J.APPL . MATH. Comput Sci.2008 Vol. 18 NO. 1 63-73.

Patrick J. La Riviere and Xiaochuan Pan. Comparison of angular interpolation approaches in few-view tomography using statistical hypothesis testing. volume 3661, pages 398–407. SPIE, 1999.

M. Bertram, J. Wiegert, D. Schafer, T. Aach and G. Rose, Directional View Interpolation for Compensation of Sparse Angular Sampling in Cone-Beam CT, IEEE Transactions on Medical Imaging 28(7), 2009, pp. 1011-1022.

Kim, S.D., Lee, S.E., Multi-energy X-ray imaging system using single photon counting, (2013) International Review on Computers and Software (IRECOS), 8 (7), pp. 1517-1521.

Ahmed Bacha, M.R., Oukebdanne, A., Belbachir, A., Bi-dimensional zero padding angular interpolation for arc handling in computed tomography scanner, (2013) International Review on Computers and Software (IRECOS), 8 (12), pp. 2985-2991.

Benzarti, F., Amiri, H., Computed tomography images restoration using anisotropic diffusion regularization, (2013) International Review on Computers and Software (IRECOS), 8 (10), pp. 2515-2520.

Fan, H., Zhu, H., Zhu, G., Wang, Y., Improvement wood computerized tomography images with ultrasonic wave parallel translation, (2013) International Review on Computers and Software (IRECOS), 8 (1), pp. 17-20.

Fesharaki, N.J., Pourghassem, H., Medical X-ray image clustering using a new gabor function-based image representation, (2012) International Review on Computers and Software (IRECOS), 7 (3), pp. 1100-1106.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2023 Praise Worthy Prize