Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Open Engineering

formerly Central European Journal of Engineering

Editor-in-Chief: Ritter, William

CiteScore 2017: 0.70

SCImago Journal Rank (SJR) 2017: 0.211
Source Normalized Impact per Paper (SNIP) 2017: 0.787

ICV 2017: 100.00

Open Access
See all formats and pricing
More options …

Mitigating motion artifacts in FDK based 3D Cone-beam Brain Imaging System using markers

Ujjal Bhowmik
  • Department of Electrical and Computer Engineering, University of Alabama in Huntsville, Huntsville, AL, 35899, USA
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ M. Zafar Iqbal
  • Department of Computer Science and Engineering, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Reza Adhami
  • Department of Electrical and Computer Engineering, University of Alabama in Huntsville, Huntsville, AL, 35899, USA
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2012-07-01 | DOI: https://doi.org/10.2478/s13531-012-0011-7


Head motion during Computed Tomographic (CT) brain imaging studies can adversely affect the reconstructed image through distortion, loss of resolution and other related artifacts. In this paper, we propose a marker based innovative approach to detect and mitigate motion artifacts in three dimensional cone-beam brain CT systems without using any external motion tracking sensor. Motion is detected using correlations between the adjacent projections. Once motion is detected, motion parameters (i.e. six degrees-of-freedom of motions) are estimated using a numerical optimization technique. Artifacts, caused by motions, are mitigated by using a modified form Feldkemp-Davis-Kress (FDK) algorithm which uses the estimated motion parameters in back-projection stage. The proposed approach has been evaluated on a modified three-dimensional Shepp-Logan phantom with a range of simulated motions. Simulation results demonstrate a quantitative and qualitative validation of motion detection and artifacts mitigation technique.

Keywords: Three-dimensional CT; FDK algorithm; Cone-beam CT; Motion detection; Motion artifacts

  • [1] Linney N.C., Gregson P.H., Organ motion detection in ct images using opposite rays in fan-beam projection systems, IEEE Trans. Med. Imaging, Vol. 20, 2001, 1109–1122 http://dx.doi.org/10.1109/42.963814CrossrefGoogle Scholar

  • [2] Green M.V., Seidel J., Stein S.D., Tedder T.E., et al., Head movement in normal subjects during simulated PET brain imaging with and without head restraint, J. Nucl. Med., Vol. 35, No. 9, Sept. 1994, 1538–1546 Google Scholar

  • [3] Ritchie C.J., Methods for reducing motion artifacts in computed tomography scans of the chest, Ph.D. Dissertation, Univ. Washington, Seattle, 1993 Google Scholar

  • [4] Boyd D.P., Lipton M.J., Cardiac computed tomography, Proc. IEEE, Vol. 71, Mar. 1983, 298–307 http://dx.doi.org/10.1109/PROC.1983.12588CrossrefGoogle Scholar

  • [5] Robb R.A., Hoffman E.A., Sinak L.J., Harris L.D., et al., High speed three-dimensional X-ray computed tomography: The dynamic spatial reconstructor, Proc. IEEE, Vol. 71, Mar. 1983, 308–319 http://dx.doi.org/10.1109/PROC.1983.12589CrossrefGoogle Scholar

  • [6] Crawford C.R., Godwin J.D., Pelc N.J., Reduction of motion artifacts in computed tomography, in Proc. IEEE Engineering Medicine and Biology Society, Vol. 11, 1989, 485–486 Google Scholar

  • [7] Crawford C.R., Pelc N.J., Method for Reducing Motion Induced Artifacts in Projection Imaging, US Patent 4 994 965, 1991 Google Scholar

  • [8] Menke M., Atkins M.S., Buckley K.R., Compensation methods for head motion detected during PET imaging, IEEE Trans. Nucl. Sci., Vol. 43, Feb. 1996, 310–317 http://dx.doi.org/10.1109/23.485971CrossrefGoogle Scholar

  • [9] Goldstein R., Margaret E., Dube W., A Head Motion Measurement System Suitable for Emission Computed Tomography, IEEE Trans. Of Medical Imaging, Vol. 16, No. 1, February 1997, 17–27 http://dx.doi.org/10.1109/42.552052CrossrefGoogle Scholar

  • [10] Fulton R.R., Eberl S., Meikle S.R., Braun M., A Practical 3D Tomographic Method for Correcting Patient Head Motion in Clinical SPECT, IEEE Trans. On Nuclear Science, Vol. 46, No. 3, June 1999 Google Scholar

  • [11] Beach R.D., Gifford H.C., Shazeeb S., Bruyant P.P., et al., Stereo Infrared Tracking to Monitor and Characterize rigidbody Motion and Respiration During Cardiac SPECT Imaging: Progress Towards Robust Clinical Utilization, in Proc. Of IEEE Nuclear Science Symp. Conf. Rec., Vol. 3, Oct. 23–29, 2005, 1731–1735 http://dx.doi.org/10.1109/NSSMIC.2005.1596654CrossrefGoogle Scholar

  • [12] Sarkar S., Oghabian M.A., Mohammadi I., Mohammadpour A., et al., A linogram/Sinogram Cross-Correlation Method for Motion Correction in Planar and SPECT Imaging, IEEE Trans. On Nuclear Science, Vol. 54, No. 1, February 2007 Web of ScienceGoogle Scholar

  • [13] Weiguo L., Mackie R., Tomographic Motion Detection and Correction Directly in Sinogram space, Phys. Med. Biol., Vol. 47, 2002, 1267–1284 http://dx.doi.org/10.1088/0031-9155/47/8/304CrossrefGoogle Scholar

  • [14] Ens S., Müller J., Kratz B., Buzug T.M., Sinogram-Based Motion Detection in Transmission Computed Tomography, Proc. 4th European Congress for Medical and Biomedical Engineering, Springer IFMBE Series, Vol. 22, 2008, 505–508 Google Scholar

  • [15] Rahmim A., Bloomfield P., Houle S., Lenox M., et al., Motion Compensation in Histogram-Mode and List-Mode EM Reconstruction: Beyond the Event-Driven Approach, IEEE. Trans. Nucl. Sci., Vol. 51, 2004, 2588–2596 http://dx.doi.org/10.1109/TNS.2004.835763CrossrefGoogle Scholar

  • [16] Rezvani N., Arullah D., Jackson K., Mosley D., An Open Source Cone-Beam CT Reconstruction Tool for Imaging Research, Poster AAPM, 2007 Google Scholar

  • [17] Bhowmik U., Aravetti S., Adhami R., An Innovative Approach to Reduce Streaking Artifacts in FDK Based 3D Cone-beam Tomography, IEEE Southeastcon 2011, Nashville, USA Google Scholar

  • [18] Zhu J., Lee S.W., Ye Y., Zhao S., et al., X-ray Transform and 3D Radon Transform for ellipsoids and tetrahedral, J. X-ray Sci. and Tech, Vol. 12, 2004, 215–229 Google Scholar

  • [19] Shepp L.A., Logan B.F., The Fourier Reconstruction of a Head Section, IEEE Trans. on Nuclear Science, Vol. 21, 1974, 21–43 http://dx.doi.org/10.1109/TNS.1974.4327466CrossrefGoogle Scholar

  • [20] Kak A.C., Slaney M., Principle of Tomographic Imaging, IEEE Press, 1999 Google Scholar

  • [21] Dean S.R., The Radon Transform and Some of its Application, Dover Publications, Inc, Mineola, NY, 1993 Google Scholar

  • [22] Feldkamp L., Davix L., Kress J., Practical Cone-beam Algorithm, J. Opt. Soc. Am., Vol. A1, 1984, 612–619 http://dx.doi.org/10.1364/JOSAA.1.000612CrossrefGoogle Scholar

  • [23] Foley J.D., Van Dam A., Feiner S.K., Hughes J.F., Computer Graphics Principle and Applications, Addison-Wesley Publishing Company, 2nd Edition, 1996 Google Scholar

About the article

Published Online: 2012-07-01

Published in Print: 2012-09-01

Citation Information: Open Engineering, Volume 2, Issue 3, Pages 369–382, ISSN (Online) 2391-5439, DOI: https://doi.org/10.2478/s13531-012-0011-7.

Export Citation

© 2012 Versita Warsaw. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

Citing Articles

Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.

Mianyi Chen, Peng He, Peng Feng, Baodong Liu, Qingsong Yang, Biao Wei, and Ge Wang
Optical Engineering, 2018, Volume 57, Number 02, Page 1
J-H Kim, J Nuyts, A Kyme, Z Kuncic, and R Fulton
Physics in Medicine and Biology, 2015, Volume 60, Number 5, Page 2047
Jung-Ha Kim, Johan Nuyts, Zdenka Kuncic, and Roger Fulton
Medical Physics, 2013, Volume 40, Number 4, Page 041903

Comments (0)

Please log in or register to comment.
Log in