Skip to main content

Advertisement

SpringerLink
Log in

Impact of reconstruction parameters on lesion detection and localization in joint ictal/inter-ictal SPECT reconstruction

  • Original Article
  • Published:
Annals of Nuclear Medicine Aims and scope Submit manuscript

Abstract

Purpose

Previously, a joint ictal/inter-ictal SPECT reconstruction was proposed to reconstruct a differential image representing the change of brain SPECT image from an inter-ictal to an ictal study. The so-called joint method yielded better performance for epileptic foci localization than the conventional subtraction method. In this study, we evaluated the performance of different reconstruction settings of the joint reconstruction of ictal/inter-ictal SPECT data, which creates a differential image showing the difference between ictal and inter-ictal images, in lesion detection and localization in epilepsy imaging.

Methods

Differential images reconstructed from phantom data using the joint and the subtraction methods were compared based on lesion detection performance (channelized Hotelling observer signal-to-noise ratio (SNRCHO) averaged across four lesion-to-background contrast levels) at the optimal iteration. The joint-initial method which was the joint method that was initialized by the subtraction method at optimal iteration was also used to reconstruct differential images. These three methods with respective optimal iteration and the subtraction method with four iterations were applied to epileptic patient datasets. A human observer lesion localization study was performed based on localization receiver operating characteristic (LROC) analysis.

Results

From the phantom study, at their respective optimal iteration, the joint method yielded an improvement in lesion detection performance over the subtraction method of 26%, which increased to 145% when using the joint-initial method. From the patient study, the joint-initial method yielded the highest area under the LROC curve as compared with those of the joint and the subtraction methods with optimal iteration and with 4 iterations (0.44 vs 0.41, 0.39 and 0.36, respectively).

Conclusions

In lesion detection and localization, the joint method at optimal iteration outperformed the subtraction method at optimal iteration and at iteration typically used in clinical practice. Furthermore, initialization by the subtraction method improved the performance of the joint method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Fisher RS, van Emde BW, Blume W, Elger C, Genton P, Lee P, et al. Seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia. 2005;46:470–2.

    Article  Google Scholar 

  2. Picot MC, Baldy-Moulinier M, Daurès JP, Dujols P, Crespel A. The prevalence of epilepsy and pharmacoresistant epilepsy in adults: a population-based study in a Western European country. Epilepsia. 2008;49:1230–8.

    Article  Google Scholar 

  3. Wiebe S, Blume WT, Girvin JP, Eliasziw M. A randomized, controlled trial of surgery for temporal-lobe epilepsy. N Engl J Med. 2001;345:311–8.

    Article  CAS  Google Scholar 

  4. Paesschen WV. Ictal SPECT. Epilepsia. 2004;45:35–40.

    Article  Google Scholar 

  5. Spanaki MV, Spencer SS, Corsi M, MacMullan J, Seibyl J, Zubal IG. Sensitivity and specificity of quantitative difference SPECT analysis in seizure localization. J Nucl Med. 1999;40:730–6.

    CAS  PubMed  Google Scholar 

  6. Duncan JS. Imaging in the surgical treatment of epilepsy. Nat Rev Neurol. 2010;6:537–50.

    Article  Google Scholar 

  7. Duncan JS, Winston GP, Koepp MJ, Ourselin S. Brain imaging in the assessment for epilepsy surgery. Lancet Neurol. 2016;15:420–33.

    Article  Google Scholar 

  8. Lee HW, Hong SB, Tae WS. Opposite ictal perfusion patterns of subtracted SPECT: hyperperfusion and hypoperfusion. Brain. 2000;123:2150–9.

    Article  Google Scholar 

  9. Zubal IG, Spencer SS, Imam K, Seibyl J, Smith EO, Wisniewski G, et al. Difference images calculated from ictal and interictal technetium-99m-HMPAO SPECT scans of epilepsy. J Nucl Med. 1995;36:684–9.

    CAS  PubMed  Google Scholar 

  10. O’Brien TJ, So EL, Mullan BP, Hauser MF, Brinkmann BH, Bohnen NI, et al. Subtraction ictal SPECT co-registered to MRI improves clinical usefulness of SPECT in localizing the surgical seizure focus. Neurology. 1998;50:445–54.

    Article  CAS  Google Scholar 

  11. Rakvongthai Y, Fahey F, Borvorntanajanya K, Tepmongkol S, Vutrapongwatana U, Zukotynski K, et al. Joint reconstruction of ictal/inter-ictal SPECT data for improved epileptic foci localization. Med Phys. 2017;44:1437–48.

    Article  Google Scholar 

  12. Cherry SR, Sorenson JA, Phelps ME. Physics in Nuclear Medicine. 4th ed. Philadelphia: Saunders; 2012.

    Google Scholar 

  13. Lai X, Petibon Y, El Fakhri G, Ouyang J. Joint reconstruction of rest/stress myocardial perfusion SPECT. Phys Med Biol. 2018;63:135019.

    Article  CAS  Google Scholar 

  14. Penny W, Friston K, Ashburner J, Kiebel S, Nichols T. Statistical Parametric Mapping: The Analysis of Functional Brain Images. London: Elsevier; 2006.

    Google Scholar 

  15. Gifford HC, King MA, de Vries DJ, Soares EJ. Channelized Hotelling and human observer correlation for lesion detection in hepatic SPECT imaging. J Nucl Med. 2000;41:514–21.

    CAS  PubMed  Google Scholar 

  16. Abbey CK, Barrett HH. Human-and model-observer performance in ramp-spectrum noise: effect of regularization and object variability. J Opt Soc Am A Opt Image Sci Vis. 2001;18:473–88.

    Article  CAS  Google Scholar 

  17. Gifford HC, Kinahan PE, Lartizien C. King MA Evaluation of multiclass model observers in PET LROC studies. IEEE Trans Nucl Sci. 2007;54:116–23.

    Article  CAS  Google Scholar 

  18. Schaefferkoetter J, Ouyang J, Rakvongthai Y, Nappi C. El Fakhri G Effect of time-of-flight and point spread function modeling on detectability of myocardial defects in PET. Med Phys. 2014;41:062502.

    Article  Google Scholar 

  19. Bordonne M, Chawki MB, Marie PY, Zaragori T, Roch V, Grignon R, et al. High-quality brain perfusion SPECT images may be achieved with a high-speed recording using 360° CZT camera. EJNMMI Phys. 2020;7:65.

    Article  Google Scholar 

  20. Swensson R. Unified measurement of observer performance in detecting and localizing target objects on images. Med Phys. 1996;23:1709–25.

    Article  CAS  Google Scholar 

  21. Zeng GL. Maximum-likelihood expectation-maximization algorithm versus windowed filtered backprojection algorithm: a case study. J Nucl Med Technol. 2018;46:129–32.

    Article  Google Scholar 

  22. Pareto D, Pavía J, Falcón C, Juvells I, Cot A, Ros D. Characterisation of fan-beam collimators. Euro J Nucl Med. 2001;28:144–9.

    Article  CAS  Google Scholar 

  23. Tan KM, Britton JW, Buchhalter JR, Worrell GA, Lagerlund TD, Shin C, et al. Influence of subtraction ictal SPECT on surgical management in focal epilepsy of indeterminate localization: a prospective study. Epilepsy Res. 2008;82:190–3.

    Article  Google Scholar 

  24. von Oertzen TJ, Mormann F, Urbach H, Reichmann K, Koenig R, Clusmann H, et al. Prospective use of subtraction ictal SPECT coregistered to MRI (SISCOM) in pre-surgical evaluation of epilepsy. Epilepsia. 2011;52:2239–44.

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the Research Grant for New Scholar Ratchadaphiseksomphot Endowment Fund Chulalongkorn University. Jaruwan Onwanna was supported by the 100th Anniversary Chulalongkorn University Fund for Doctoral Scholarship, and by the 90th Anniversary Chulalongkorn University Fund (Ratchadaphiseksomphot Endowment Fund). The authors would also like to thank Katherine Zukotynski, MD, PhD for assembling patient data. The authors declare that there is no conflict of interest in conducting this research.

Author information

Authors and Affiliations

  1. Biomedical Engineering Program, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand

    Jaruwan Onwanna

  2. Chulalongkorn University Biomedical Imaging Group, Department of Radiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand

    Jaruwan Onwanna, Supatporn Tepmongkol & Yothin Rakvongthai

  3. Division of Nuclear Medicine, Department of Radiology, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand

    Maythinee Chantadisai

  4. Division of Nuclear Medicine, Department of Radiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand

    Supatporn Tepmongkol & Yothin Rakvongthai

  5. Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Boston Children’s Hospital, Boston, USA

    Frederic Fahey

  6. Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, USA

    Jinsong Ouyang

  7. Department of Radiology, Harvard Medical School, Boston, USA

    Frederic Fahey & Jinsong Ouyang

Authors
  1. Jaruwan Onwanna
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Maythinee Chantadisai
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Supatporn Tepmongkol
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Frederic Fahey
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jinsong Ouyang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Yothin Rakvongthai
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yothin Rakvongthai.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Onwanna, J., Chantadisai, M., Tepmongkol, S. et al. Impact of reconstruction parameters on lesion detection and localization in joint ictal/inter-ictal SPECT reconstruction. Ann Nucl Med 36, 24–32 (2022). https://doi.org/10.1007/s12149-021-01680-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12149-021-01680-x

Keywords

Search

Navigation