Reconstruction Image Quality Theory

We have developed an image quality theory for reconstruction that we apply to filtered back-projection (FBP) and statistical reconstruction (OSEM) for Single Photon Emission Computed Tomography (SPECT). Quantitative measures of reconstruction performance are given in terms of signal and noise power spectra, SPS and NPS, that we derive from phantom images. This allows evaluating the properties of statistical reconstruction, especially signal recovery, noise, impact of phantom size, and detector resolution. Our analysis shows how noise in reconstructed images is reduced by iterative resolution recovery.

[1]  T. E. Allibone,et al.  Advances in Electronics , 1949, Nature.

[2]  Til Aach,et al.  Thallium-Stress, Technetium-Rest Protokoll für Cardiac SPECT , 2010, Bildverarbeitung für die Medizin.

[3]  L. Shepp,et al.  Maximum Likelihood Reconstruction for Emission Tomography , 1983, IEEE Transactions on Medical Imaging.

[4]  H. Wieczorek,et al.  Analytical model for SPECT detector concepts , 2006, IEEE Transactions on Nuclear Science.

[5]  H. Malcolm Hudson,et al.  Accelerated image reconstruction using ordered subsets of projection data , 1994, IEEE Trans. Medical Imaging.

[6]  M. Glas,et al.  Principles of Computerized Tomographic Imaging , 2000 .