Parametric image reconstruction using spectral analysis of PET projection data

S R Meikle, J C Matthews, V J Cunningham, D L Bailey, L Livieratos, Terry Jones, Pat Price

Research output: Contribution to journalArticle

61 Citations (Scopus)

Abstract

Spectral analysis is a general modelling approach that enables calculation of parametric images from reconstructed tracer kinetic data independent of an assumed compartmental structure. We investigated the validity of applying spectral analysis directly to projection data motivated by the advantages that: (i) the number of reconstructions is reduced by an order of magnitude and (ii) iterative reconstruction becomes practical which may improve signal-to-noise ratio (SNR). A dynamic software phantom with typical 2-[11C]thymidine kinetics was used to compare projection-based and image-based methods and to assess bias-variance trade-offs using iterative expectation maximization (EM) reconstruction. We found that the two approaches are not exactly equivalent due to properties of the non-negative least-squares algorithm. However, the differences are small (<5%) and mainly affect parameters related to early and late time points on the impulse response function (K1 and, to a lesser extent, VD). The optimal number of EM iteration was 15-30 with up to a two-fold improvement in SNR over filtered back projection. We conclude that projection-based spectral analysis with EM reconstruction yields accurate parametric images with high SNR and has potential application to a wide range of positron emission tomography ligands.
Original languageEnglish
Pages (from-to)651-66
Number of pages16
JournalPhysics in Medicine and Biology
Volume43
Issue number3
Publication statusPublished - 1998

Fingerprint

Computer-Assisted Image Processing
Signal-To-Noise Ratio
Least-Squares Analysis
Positron-Emission Tomography
Thymidine
Software
Ligands

Keywords

  • Algorithms
  • Astrocytoma
  • Biophysical Phenomena
  • Biophysics
  • Brain Neoplasms
  • Carbon Radioisotopes
  • Colonic Neoplasms
  • Female
  • Humans
  • Image Processing, Computer-Assisted
  • Least-Squares Analysis
  • Middle Aged
  • Models, Theoretical
  • Phantoms, Imaging
  • Software
  • Thymidine
  • Tomography, Emission-Computed

Cite this

Meikle, S. R., Matthews, J. C., Cunningham, V. J., Bailey, D. L., Livieratos, L., Jones, T., & Price, P. (1998). Parametric image reconstruction using spectral analysis of PET projection data. Physics in Medicine and Biology, 43(3), 651-66.

Parametric image reconstruction using spectral analysis of PET projection data. / Meikle, S R; Matthews, J C; Cunningham, V J; Bailey, D L; Livieratos, L; Jones, Terry; Price, Pat.

In: Physics in Medicine and Biology, Vol. 43, No. 3, 1998, p. 651-66.

Research output: Contribution to journalArticle

Meikle, SR, Matthews, JC, Cunningham, VJ, Bailey, DL, Livieratos, L, Jones, T & Price, P 1998, 'Parametric image reconstruction using spectral analysis of PET projection data', Physics in Medicine and Biology, vol. 43, no. 3, pp. 651-66.
Meikle SR, Matthews JC, Cunningham VJ, Bailey DL, Livieratos L, Jones T et al. Parametric image reconstruction using spectral analysis of PET projection data. Physics in Medicine and Biology. 1998;43(3):651-66.
Meikle, S R ; Matthews, J C ; Cunningham, V J ; Bailey, D L ; Livieratos, L ; Jones, Terry ; Price, Pat. / Parametric image reconstruction using spectral analysis of PET projection data. In: Physics in Medicine and Biology. 1998 ; Vol. 43, No. 3. pp. 651-66.
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