A New Approach for Scatter Removal and Attenuation Compensation from SPECT/CT Images

Authors

  • Faraz Kalantari Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran
  • Hadi Noori Eskandari Department of Applied Mathematics, School of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
  • Mohsen Hajizadeh Saffar Department of Medical Physics, Mashhad University of Medical Science, Mashhad, Iran
  • Peter Knoll Department of Nuclear Medicine Wilhelminenspital Vienna, Austria
  • Seyed Rasoul Zakavi Nuclear Medicine Research Center, Imam Reza Hospital, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
  • Shabnam Oloomi Department of Medical Physics, Mashhad University of Medical Science, Mashhad, Iran
Abstract:

  Objective(s): In SPECT, the sinogram contains scatter and lack of attenuated counts that degrade the reconstructed image quality and quantity. Many techniques for attenuation and scatter correction have been proposed. An acceptable method of correction is to incorporate effects into an iterative statistical reconstruction. Here, we propose new Maximum Likelihood Expectation Maximization (MLEM) formula to correct scattering and attenuating photons during reconstruction.   Materials and Methods: In this work, scatters are estimated through Klein-Nishina formula in all iterations and CT images are used for accurate attenuation correction. Reconstructed images resulted from different MLEM reconstruction formula have been compared considering profile agreement, contrast, mean square error, signal-to-noise ratio, contrast-to-noise ratio and computational time. Results: The proposed formula has a good profile agreement, increased contrast, signal-to-noise (SNR) & contrast-to-noise ratio (CNR), computational time and decreased mean square error (MSE) compared with uncorrected images and/or images from conventional formula. Conclusion: In conclusion, by applying the proposed formula we were able to correct attenuation and scatter via MLEM and improve the image quality, which is a necessary step for both qualitative and quantitative SPECT images.

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Journal title

volume 16  issue 11

pages  1181- 1189

publication date 2013-11-01

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