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The Influence of Noise in Dynamic PET Direct Reconstruction

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XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016

Part of the book series: IFMBE Proceedings ((IFMBE,volume 57))

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Abstract

In the present work a study is carried out in order to assess the efficiency of the direct reconstruction algorithms on noisy dynamic PET data. The study is performed via Monte Carlo simulations of a uniform cylindrical phantom whose emission values change in time according to a kinetic law. After generating the relevant projection data and properly adding the effects of different noise sources on them, the direct reconstruction and parametric estimation algorithm is applied. The resulting kinetic parameters and reconstructed images are then quantitatively evaluated with appropriate indexes. The simulation is repeated considering different sources of noise and different values of them. The results obtained allow us to affirm that the direct reconstruction algorithm tested maintains a good efficiency also in presence of noise.

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References

  1. Rowe R W, Dai S. "A pseudo-Poisson noise model for simulation of positron emission tomographic projection data" Med Phys. 1992;19(4):1113-9.

    Google Scholar 

  2. Kimura Y, Naganawa M et al. "MAP-based kinetic analysis for voxel-by-voxel compartment model estimation: detailed imaging of the cerebral glucose metabolism using FDG" Neuroimage. 2006;29(4):1203-11.

    Google Scholar 

  3. Santarelli M F, Positano V, Landini L. "Dynamic PET data generation and analysis software tool for evaluating the SNR dependence on kinetic parameters estimation" IFMBE Proceedings. 2014;45(4):204-7.

    Google Scholar 

  4. Tsoumpas C, Turkheimer F E, Thielemans K. "A survey of approaches for direct parametric image reconstruction in emission tomography" Med Phys. 2008;35(9):3963-71.

    Google Scholar 

  5. Zhu W, Li Q et al. "Patlak Image Estimation From Dual Time-Point List-Mode PET Data" IEEE Trans. Med. Imag.. 2014;33(4):913-24.

    Google Scholar 

  6. Wang G, Qi J. "An optimization transfer algorithm for nonlinear parametricm image reconstruction from dynamic PET data" IEEE Trans. Med. Imag.. 2012;31:1977-88.

    Google Scholar 

  7. Yavuz M, Fessler J A. "Statistical Tomographic Recon methods for randoms precorrected PET scans" Medical Imaging Analysis. 1998;2:369-78.

    Google Scholar 

  8. Ahn S, Fessler J A. "Emission Image Reconstruction for Randoms-Precorrected PET Allowing Negative Sinogram Values" IEEE Transactions on Medical Imaging. 2004;23(5):591-601.

    Google Scholar 

  9. Schmidt K C, Turkheimer F E. "Kinetic modeling in positron emission tomography" Journal of Nuclear Medicine. 2002;46(1):70-85.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Information Engineering, University of Pisa, Pisa, PI, Italy

    Michele Scipioni & Luigi Landini

  2. Fondazione G. Monasterio,CNR-Regione Toscana, via Moruzzi, 1, 56124, Pisa, PI, Italy

    Michele Scipioni, Maria Filomena Santarelli, Vincenzo Positano & Luigi Landini

  3. Institute of Clinical Physiology, CNR, Pisa, PI, Italy

    Maria Filomena Santarelli

Authors
  1. Michele Scipioni
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  2. Maria Filomena Santarelli
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  3. Vincenzo Positano
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  4. Luigi Landini
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Corresponding author

Correspondence to Michele Scipioni .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Frederick University, Nicosia, Cyprus

    Efthyvoulos Kyriacou

  2. Biomedical Research Foundation, Nicosia, Cyprus

    Stelios Christofides

  3. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    Constantinos S. Pattichis

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© 2016 Springer International Publishing Switzerland

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Scipioni, M., Santarelli, M.F., Positano, V., Landini, L. (2016). The Influence of Noise in Dynamic PET Direct Reconstruction. In: Kyriacou, E., Christofides, S., Pattichis, C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-32703-7_61

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  • DOI: https://doi.org/10.1007/978-3-319-32703-7_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32701-3

  • Online ISBN: 978-3-319-32703-7

  • eBook Packages: EngineeringEngineering (R0)

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