Data collected in two-dimensional projections give planar images of object at each projection angle. To obtain information along the depth of the object, tomographic images are reconstructed using these projections. There are basically two approaches to solve the problem of reconstruction: analytical and iterative, each one presenting its own advantages and limitations. This paper provides a detailed introduction and comparison to four analytical image reconstruction methods including Fourier transformation, simple back-projection, back-projection filtering and filtered back-projection.
Cite this paper
Asl, M. and Sadremomtaz, A. (2013) Analytical image reconstruction methods in emission tomography. Journal of Biomedical Science and Engineering, 6, 100-107. doi: 10.4236/jbise.2013.61013.
 Defrise, M. and Kinahan, P.E. (1998) Data acquisition and image reconstruction for 3D PET. In: Townsend, D.W. and Bendriem, B., Eds., The Theory and Practice of 3D PET, Developments in Nuclear Medicine, Kluwer Academic Publishers, Dordrecht, 32, 11-54.
 Jain A.K. (1988) Fundamentals of digital image processing. Prentice Hall, Upper Saddle River.
 Herman, G.T. (1980) Image reconstruction from projections. Academic Press, New York.
 J?hne, B. (1991) Digital image processing: Concepts, algorithms and scientific applications. Springer-Verlag, Berlin.
 Kak, A.C. (1984) Image reconstruction from projections. In: Ekstrom, M.P., Image Processing Techniques, Computational Techniques, Academic Press, Orlando, 2, 111- 169.
 Bruyant, P.P. (2002) Analytic and iterative reconstruction algorithms in SPECT. Journal of Nuclear Medicine, 43, 1343-1358.
 Kinahan, P.E. and Rogers, J.G. (1989) Analytic 3D image reconstruction using all detected events. IEEE Transactions on Medical Imaging, 36, 964-968.