Preview

«System analysis and applied information science»

Advanced search

FAST ITERATIVE KILOVOLTAGE CONE BEAM TOMOGRAPHY

Abstract

Creating a fast parallel iterative tomographic algorithms based on the use of graphics accelerators, which simultaneously provide the minimization of residual and total variation of the reconstructed image is an important and urgent task, which is of great scientific and practical importance. Such algorithms can be used, for example, in the implementation of radiation therapy patients, because it is always done pre-computed tomography of patients in order to better identify areas which can then be subjected to radiation exposure.

 

About the Authors

S. A. Zolotarev
Institute of Applied Physics of the NAS of Belarus
Belarus


M. A. Mirzavand
Belarusian National Technical University
Belarus


References

1. Lange K., Fessler J. A. Globally Convergent Algorithms for Maximum a Posteriori Transmission Tomography / K. Lange, J. A. Fessler // IEEE Trans. on Image Processing – 1995. – Vol. 8. – No 10. – P. 1430–1438.

2. Andersen A. H., Algebraic reconstruction in CT from limited views / A. H. Andersen // IEEE Trans. Medical Imaging – 1989. – Vol. 8. – P. 50–55.

3. Венгринович В. Л. Итерационные методы томографии / В. Л. Венгринович, С. А. Золотарев // Минск: Белорусская наука, – 2009. – 227 с.

4. Segal M., Fast shadows and lighting effects using texture mapping / M. Segal, C. Korobkin, R. van Widenfelt, J. Foran, and P. E. Haeberli // SIGGRAPH’92. – 1992. – Vol. 26. – P. 249–252.

5. Jia R. Q., A fast algorithm for the total variation model of image denoising / H. Q. Zhao // Adv. Comput. Math. – 2010. – Vol. 33. – P. 231–241.


Review

For citations:


Zolotarev S.A., Mirzavand M.A. FAST ITERATIVE KILOVOLTAGE CONE BEAM TOMOGRAPHY. «System analysis and applied information science». 2015;(4):31-35. (In Russ.)

Views: 813


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2309-4923 (Print)
ISSN 2414-0481 (Online)