Article Article
Optimal Spatial Filtering Schemes and Compact Tomography Setups

Three compact computerized tomography (CT) scanner prototypes are established and tested for acceptable reconstruction results. Performance of conventional iterative reconstruction algorithm is enhanced via incorporating a spatial filtering/masking step. Generally, these masking strategies incorporate an arbitrary (3  3 or 2  2) size of square averaging mask to subdue the ill-posedness. Three different spatial filtering schemes are tested in this work. The objective is to remove any dependency on a user for deciding an appropriate masking parameter. The outcome of the simulation study is successfully verified for three real data situations using three specimens with pre-assigned/known inner profile. Such austere scanning situations arise in real-time environment especially for undetachable/fixed small size objects situated in inaccessible locations. The present study encourages the development of low budget CT setups.

References
  • M. Goswami, P. Munshi, and A. Saxena. Nuclear Science and Engineering 176(2):240–253 (2014).
  • D. L. Donoho and Tanner, J. Proceedings of the IEEE 98: 913–924 (2010).
  • M. Goswami, S. Shakya, A. Saxena, and P. Munshi. NDT and E International. 72:17–24 (2015).
  • A. K. Louis and P. Maass. Inverse Problems 6:427–440 (1990). Available at http://dx.doi.org/10.1088/0266-5611/6/3/011. Accessed April 7, 2016.
  • M. Eryigit. Journal of Inequalities and Applications 428 (2013). Available at http://dx.doi.org/10.1186/1029-242X-2013-428. Accessed April 7, 2016.
  • A. Savitzky and M. J. E. Golay. Analytical Chemistry 36(8):1627–1639 (1964). Available at http://dx.doi.org/10.1021/ac60214a047. Accessed April 7, 2016.
  • G. S. Watson. The Indian Journal of Statistics, Series A 26(4):359–372 (1964).
  • E. A. Nadaraya. Theory Probab. Appl. 9(1):141–142. Available at http://dx.doi.org/10.1137/1109020. Accessed April 7, 2016.
  • D. W. Parreira, J. C. M. Bermudez, C. Richard, and J.-Y. Tourneret. IEEE Transactions on Signal Processing 60(5):2208–2222 (2012).
  • M. Goswami, A. Saxena, and P. Munshi. Proceedings of 52nd Annual Conference of BINDT, NDT 2013, Telford, U.K., 98 (2013).
  • M. Goswami, P. Munshi, A. Saxena, M. K. Gupta, and A. Kumar. Fusion Engineering and Design 89(11):2659–2665 (2014).
  • C. R. Vogel. Computational Methods in Inverse Problems. SIAM, Providence (2002).
  • X. Li, W. Huang, and W. D. Rooney. Magnetic Resonance Imaging 30(9):1313–1322 (2012).
  • M. Welvaert and Y. Rosseel. PLOS ONE 8(11):e77089 (2013). doi:10.1371/journal. pone.0077089.
  • M. Goswami, P. Munshi, A. Khanna, and Saxena. Sensors Journal, IEEE 15(2) (2015).
  • J. H. Hubbell. Int. J. Appl. Radiat. Isot. 33:1269–1290 (1982).
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