مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

243
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

138
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

DEVELOPMENT AND EVALUATION OF IMAGE RECONSTRUCTION ALGORITHMS FOR A NOVEL DESKTOP SPECT SYSTEM

Pages

  120-133

Abstract

 Objective(s): Various iterative reconstruction algorithms in nuclear medicine have been introduced in the last three decades. For each new imaging system, it is wise to select appropriate IMAGE RECONSTRUCTION algorithms and evaluate their performance. In this study, three approaches of IMAGE RECONSTRUCTION were developed for a novel desktop open-gantry SPECT system, PERSPECT, to assess their performance in terms of the quality of the resultant reconstructed images.Methods: In the present work, a proposed IMAGE RECONSTRUCTION algorithm for the PERSPECT, referred to as quasi-simultaneous multiplicative algebraic reconstruction technique (qSMART), together with two popular IMAGE RECONSTRUCTION methods, maximum-likelihood expectation-maximization (MLEM) and ordered-subsets EM (OSEM), were implemented and compared. Analytic and Monte Carlo simulations were applied for data acquisition of various phantoms including a micro-Derenzo phantom. All acquired data were reconstructed by the three algorithms using different number of iterations (1-40). A thorough set of figures-of-merit was utilized to quantitatively compare the generated images.Results: OSEM depicted reconstructed images of higher (or matching) quality in comparison to qSMART. MLEM also reached nearly similar quality as OSEM but at higher number of iterations. The graph of data discrepancy revealed that the ranking of the three approaches in terms of convergence speed is as qSMART, OSEM, and MLEM. Furthermore, bias-versus-noise curves indicated that optimal bias-noise results were achieved using OSEM.Conclusion: The results showed that although qSMART can be applied for IMAGE RECONSTRUCTION if being halted in the early iterations (up to 5), the best achievable quality of images is obtained using the OSEM.

Multimedia

  • No record.
  • Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    ZERAATKAR, NAVID, RAHMIM, ARMAN, SARKAR, SAEED, & AY, MOHAMMAD REZA. (2017). DEVELOPMENT AND EVALUATION OF IMAGE RECONSTRUCTION ALGORITHMS FOR A NOVEL DESKTOP SPECT SYSTEM. ASIA OCEANIA JOURNAL OF NUCLEAR MEDICINE AND BIOLOGY, 5(2), 120-133. SID. https://sid.ir/paper/342144/en

    Vancouver: Copy

    ZERAATKAR NAVID, RAHMIM ARMAN, SARKAR SAEED, AY MOHAMMAD REZA. DEVELOPMENT AND EVALUATION OF IMAGE RECONSTRUCTION ALGORITHMS FOR A NOVEL DESKTOP SPECT SYSTEM. ASIA OCEANIA JOURNAL OF NUCLEAR MEDICINE AND BIOLOGY[Internet]. 2017;5(2):120-133. Available from: https://sid.ir/paper/342144/en

    IEEE: Copy

    NAVID ZERAATKAR, ARMAN RAHMIM, SAEED SARKAR, and MOHAMMAD REZA AY, “DEVELOPMENT AND EVALUATION OF IMAGE RECONSTRUCTION ALGORITHMS FOR A NOVEL DESKTOP SPECT SYSTEM,” ASIA OCEANIA JOURNAL OF NUCLEAR MEDICINE AND BIOLOGY, vol. 5, no. 2, pp. 120–133, 2017, [Online]. Available: https://sid.ir/paper/342144/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button