CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
Implementation of Feature Selection Using Correlation Matrix in Python

Ahmad Farhan AlShammari
Random Articles
Reseach Article

Article:Reconstruction with Parallel Projections using ART

by Nirvikar, Raghuvir Singh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 13 - Number 1
Year of Publication: 2011
Authors: Nirvikar, Raghuvir Singh
10.5120/1743-2373

Nirvikar, Raghuvir Singh . Article:Reconstruction with Parallel Projections using ART. International Journal of Computer Applications. 13, 1 ( January 2011), 36-39. DOI=10.5120/1743-2373

@article{ 10.5120/1743-2373,
author = { Nirvikar, Raghuvir Singh },
title = { Article:Reconstruction with Parallel Projections using ART },
journal = { International Journal of Computer Applications },
issue_date = { January 2011 },
volume = { 13 },
number = { 1 },
month = { January },
year = { 2011 },
issn = { 0975-8887 },
pages = { 36-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume13/number1/1743-2373/ },
doi = { 10.5120/1743-2373 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:38.641866+05:30
%A Nirvikar
%A Raghuvir Singh
%T Article:Reconstruction with Parallel Projections using ART
%J International Journal of Computer Applications
%@ 0975-8887
%V 13
%N 1
%P 36-39
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Algebraic Reconstruction Technique (ART) is most accurate method for image reconstruction. In present paper the accuracy of ART is shown with parallel projections, in all only 16 projections with about 60 iterations are used to obtain reconstruction.

References
  1. R. Gordon et al., “Three-Dimensional Reconstruction from Projections: A Review of Algorithms”, International Review of Cytology, Vol. 38, p. 111 (1974).
  2. R. Gordon, R. Bender, and G. T. Herman, “Algebraic reconstruction techniques (ART) for three-dimensional electron microscopy and X-ray photography,” J. Theoret. Biol., vol. 29, pp. 471-482, 1970.
  3. F.Natterer, “ The Mathematics of Computed Tomography”, John Wiley and Sons, New York, 1986.
  4. A.H. Andersen, “Algebraic Reconstruction in CT from Limited Views” , IEEE Trans. On Medical Imaging, Vol. 8, pp 50-55, 1989.
  5. S. Kaczmarz, “Angentihrte Auflosung von Systemen linearer Gleichungen,” Bull. Int. Acad. Pol. Sei. Lett., A, vol. 35, pp. 355-357, 1937.
  6. Flisch et al, ETH Zürich “Industrial Computed Tomography in Reverse Engineering Applications” Industrial Applications and Image Processing in Radiology March, 15 – 17, 1999 Berlin, Germany.
  7. J. Friedhoff, Aufbereitung von 3D-Digitalisierdaten für den Werkzeug-, Formen-und Modellbau, Vulkan Verlag, Essen 1997.
  8. Herman, G.T., Image Reconstruction from Projections: The Fundamentals of Compuerized Tomography, Academic Press, New York, 1980.
  9. C. N. Hounsfeld. ”A method of and apparatus for examination of a body by radiation such as or Gamma radiation.” Patent Specification 1283915, London, 1968.
  10. K. Tanabe, “Projection method for solving a singular system,” Numer. Math., vol. 17, pp. 03-214, 1971.
  11. A. H. Andersen and A. C. Kak, “Simultaneous algebraic reconstruction technique (SART): A superior implementation of the art algorithm,” Ultrason. Imaging, vol. 6, pp. 81-94, Jan. 1984.
  12. Tanuja Srivastava, Raghuveer Singh, Nirvikar, “ ART with 3 projections in CT”, CICON – 2010, pp. 1-3, May 8-9, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

ART CT Image processing Projections Reconstruction

Powered by PhDFocusTM