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International Journal of Biomedical Imaging
Volume 2007, Article ID 38516, 12 pages
http://dx.doi.org/10.1155/2007/38516
Research Article

Experimental Investigation of Angular Stackgram Filtering for Noise Reduction of SPECT Projection Data: Study with Linear and Nonlinear Filters

1Department of Clinical Physiology, Medical Imaging Center, Tampere University Hospital, P.O. Box 2000, Tampere 33521, Finland
2Institute of Signal Processing, Tampere University of Technology, P.O. Box 553, Tampere 33101, Finland

Received 6 October 2006; Revised 16 January 2007; Accepted 7 March 2007

Academic Editor: Jyh-Cheng Chen

Copyright © 2007 Antti P. Happonen and Matti O. Koskinen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Antti P. Happonen, and Matti O. Koskinen, “Assessment of automated scintigram alignment in the stackgram domain for cardiac stress-rest SPECT studies,” Computerized Medical Imaging And Graphics, vol. 31, no. 8, pp. 595–606, 2007. View at Publisher · View at Google Scholar
  • Musa Alrefaya, Hichem Sahli, Iris Vanhamel, and Dinh Nho Hao, “A nonlinear probabilistic curvature motion filter for positron emission tomography images,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5567, pp. 212–223, 2009. View at Publisher · View at Google Scholar
  • Sari Peltonen, and Ulla Ruotsalainen, “Exact formulation of stackgram filters in sinogram domain,” IEEE Nuclear Science Symposium Conference Record, pp. 3361–3365, 2010. View at Publisher · View at Google Scholar
  • Musa Alrefaya, and Hichem Sahli, “A Novel Adaptive Probabilistic Nonlinear Denoising Approach for Enhancing PET Data Sinogram,” Journal of Applied Mathematics, vol. 2013, pp. 1–14, 2013. View at Publisher · View at Google Scholar
  • E. P. Petrov, E. V. Medvedeva, N. L. Kharina, and M. K. Tchobanou, “Intra frame compression and video restoration based on conditional markov processes theory,” Multidimensional Systems and Signal Processing, 2016. View at Publisher · View at Google Scholar
  • Hana Rabbouch, Foued Saâdaoui, and Athanasios Vasilakos, “A Wavelet-Assisted Subband Denoising for Tomographic Image Reconstruction,” Journal of Visual Communication and Image Representation, 2018. View at Publisher · View at Google Scholar