Skip to main content
Log in

Spatial resolution is dependent on image content for SPECT with iterative reconstruction incorporating distance dependent resolution (DDR) correction

  • Scientific Paper
  • Published:
Australasian Physical & Engineering Sciences in Medicine Aims and scope Submit manuscript

Abstract

The aim of this study is to determine the dependence of single photon emission computed tomography (SPECT) spatial resolution on the content of images for iterative reconstruction with distance dependent resolution (DDR) correction. An experiment was performed using a perturbation technique to measure change in resolution of line sources in simple and complex images with iterative reconstruction with increasing iteration. Projections of the line sources were reconstructed alone and again after the addition of projections of a uniform flood or a complex phantom. An alternative experiment used images of a realistic brain phantom and evaluated an effective spatial resolution by matching the images to the digital version of the phantom convolved with 3D Gaussian kernels. The experiments were performed using ordered subset expectation maximisation iterative reconstruction with and without the use of DDR correction. The results show a significant difference in reconstructed resolution between images of line sources depending on the content of the added image. The full width at half maximum of images of a line source reconstructed using DDR correction increased by 20–30 % when the added image was complex. Without DDR this difference was much smaller and disappeared with increasing iteration. Reported SPECT resolution should be taken as indicative only with regard to clinical imaging if the measurement is made using a point or line source alone and an iterative reconstruction algorithm is used.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Stamos JA, Rogers WL, Clinthorne NH, Koral KF (1988) Object dependent performance comparison of two iterative reconstruction algorithms. IEEE Trans Nucl Sci 35:611–614

    Article  CAS  Google Scholar 

  2. Yokoi T, Shinohara H, Onishi H (2002) Performance evaluation of OSEM reconstruction algorithm incorporating three-dimensional distance-dependent resolution compensation for brain SPECT: a simulation study. Ann Nucl Med 16:11–18

    Article  PubMed  Google Scholar 

  3. Daou D, Pointurier I, Coaguila C, Vilain D, Benada A, Lebtahi R, Fourme T, Slama M, Le Guludec D (2003) Performance of OSEM and depth-dependent resolution recovery algorithms for the evaluation of global left ventricular function in 201Tl gated myocardial perfusion SPECT. J Nucl Med 44:155–162

    PubMed  Google Scholar 

  4. Williams R, Lichtenstein M, and Westcott J (2005) 3d resolution recovery iterative SPECT reconstruction and its impact on image quality and collimator choice. In: Australian & New Zealand Society of Nuclear Medicine 35th Annual Scientific Meeting

  5. Venero C, Heller G, Bateman T, McGhie A, Ahlberg A, Katten D, Courter S, Golub R, Case J, Cullom S (2009) A multicenter evaluation of a new post-processing method with depth dependent collimator resolution applied to full-time and half-time acquisitions without and with simultaneously acquired attenuation correction. J Nucl Cardiol 16:120–126

    Article  Google Scholar 

  6. Cantinho G, Pena H, Cerqueira D, Clemente J, and Godinho F (2010) Half dose MIBG cardiac SPECT clinical evaluation of resolution recovery methods, World Molecular Imaging Congress

  7. Dickson J, Tossici Bolt L, Sera T, Erlandsson K, Varrone A, Tatsch K, Hutton B (2010) The impact of reconstruction method on the quantification of DaTSCAN images. Eur J Nucl Med Mol Imaging 37:23–25

    Article  PubMed  Google Scholar 

  8. Knoll P, Kotalova D, Köchle G, Kuzelka I, Minear G, Mirzaei S, Samal M, Zadrazil L, Bergmann H (2011) Comparison of advanced iterative reconstruction methods for spect/ct. Z Med Phys 22:58–69

    Article  PubMed  Google Scholar 

  9. O’Mahoney E, Murray I (2013) Evaluation of a matched filter resolution recovery reconstruction algorithm for SPECT-CT imaging. Nucl Med Commun 34(3):240–248

    Article  PubMed  Google Scholar 

  10. Frey E, Tsui B (2006) Collimator-detector response compensation in SPECT. In: Zaidi H (ed) Quantitative analysis in nuclear medicine imaging. Springer, Berlin, pp 141–166

    Chapter  Google Scholar 

  11. Erlandsson K, Kacperski K, van Gramberg D, Hutton BF (2009) Performance evaluation of D-SPECT: a novel SPECT system for nuclear cardiology. Phys Med Biol 54:2635

    Article  PubMed  Google Scholar 

  12. El Fakhri G, Surti S, Trott CM, Scheuermann J, Karp JS (2011) Improvement in lesion detection with whole-body oncologic time-of-flight PET. J Nucl Med 52(3):347–353

    Article  PubMed  PubMed Central  Google Scholar 

  13. Hoffman EJ, Cutler PD, Digby WM, Mazziotta JC (1990) 3-D phantom to simulate cerebral blood flow and metabolic images for PET. EEE Trans Nucl Sci 37:616–620

    Article  Google Scholar 

  14. Hudson H, Larkin R (1994) Accelerated image reconstruction using ordered subsets of projection data. IEEE Trans Med Imaging 13:601–609

    Article  PubMed  CAS  Google Scholar 

  15. Barnden L, Dickson J, Hutton B (2006) Detection and validation of the body edge in low count emission tomography images. Comput Methods Prog Biomed 84:153–161

    Article  Google Scholar 

  16. Barnden L, Hatton R, Behin Ain S, Hutton B, Goble E (2004) Optimization of brain SPET and portability of normal databases. Eur J Nucl Med Mol Imaging 31:378–387

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daniel Badger.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Badger, D., Barnden, L. Spatial resolution is dependent on image content for SPECT with iterative reconstruction incorporating distance dependent resolution (DDR) correction. Australas Phys Eng Sci Med 37, 551–557 (2014). https://doi.org/10.1007/s13246-014-0287-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13246-014-0287-4

Keywords

Navigation