The influence of tomograph sensitivity on kinetic parameter estimation in positron emission tomography imaging studies of the rat brain.

We investigated the influence of tomograph sensitivity on reliability of parameter estimation in positron emission tomography studies of the rat brain. The kinetics of two tracers in rat striatum and cerebellum were simulated. A typical injected dose of 10 MBq and a reduced dose of 1 MBq were assumed. Kinetic parameters were estimated using a region of interest (ROI) analysis and two pixel-by-pixel analyses. Striatal binding potential was estimated as a function of effective tomograph sensitivity (S(eff)) using a simplified reference tissue model. A S(eff) value of > or =1% was required to ensure reliable parameter estimation for ROI analysis and a S(eff) of 3-6% was required for pixel-by-pixel analysis. We conclude that effective tomograph sensitivity of 3% may be an appropriate design goal for rat brain imaging.

[1]  T. Yamashita,et al.  A high resolution PET for animal studies , 1991, Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference.

[2]  B. Tsui,et al.  Noise properties of the EM algorithm: II. Monte Carlo simulations. , 1994, Physics in medicine and biology.

[3]  Vincent J. Cunningham,et al.  Parametric Imaging of Ligand-Receptor Binding in PET Using a Simplified Reference Region Model , 1997, NeuroImage.

[4]  P. Green Bayesian reconstructions from emission tomography data using a modified EM algorithm. , 1990, IEEE transactions on medical imaging.

[5]  D. Townsend,et al.  The Theory and Practice of 3D PET , 1998, Developments in Nuclear Medicine.

[6]  Arthur W. Toga,et al.  A 3D digital map of rat brain , 1995, Brain Research Bulletin.

[7]  H. Malcolm Hudson,et al.  Accelerated image reconstruction using ordered subsets of projection data , 1994, IEEE Trans. Medical Imaging.

[8]  Francesco Scopinaro,et al.  First Results from a YAP:Ce Gamma Camera for Small Animal Studies , 1995, 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record.

[9]  Roger Lecomte,et al.  Initial results from the Sherbrooke avalanche photodiode positron tomograph , 1996 .

[10]  Michel Defrise,et al.  Statistical noise in three-dimensional positron tomography , 1990 .

[11]  S. Tavernier,et al.  DESIGN AND PHYSICAL CHARACTERISTICS OF A SMALL ANIMAL PET USING BAF2 CRYSTALS AND A PHOTOSENSITIVE WIRE CHAMBER , 1996 .

[12]  Steven R. Meikle,et al.  Effective sensitivity in 3D PET: the impact of detector dead time on 3D system performance , 1996 .

[13]  Benjamin M. W. Tsui,et al.  Noise properties of filtered-backprojection and ML-EM reconstructed emission tomographic images , 1992 .

[14]  A. Lammertsma,et al.  Simplified Reference Tissue Model for PET Receptor Studies , 1996, NeuroImage.

[15]  Bernd J. Pichler,et al.  Studies with a prototype high resolution PET scanner based on LSO-APD modules , 1997 .

[16]  S. Cherry,et al.  Performance evaluation of microPET: a high-resolution lutetium oxyorthosilicate PET scanner for animal imaging. , 1999, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[17]  M. S. Kaplan,et al.  Preliminary Experience With The Photon History Generator Module Of A Public-domain Simulation System For Emission Tomography , 1993, 1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference.

[18]  T J Spinks,et al.  The design and physical characteristics of a small animal positron emission tomograph. , 1995, Physics in medicine and biology.

[19]  J. G. Rogers,et al.  A count rate model for PET and its application to an LSO HR PLUS scanner , 1996, 1996 IEEE Nuclear Science Symposium. Conference Record.

[20]  K. Lange,et al.  EM reconstruction algorithms for emission and transmission tomography. , 1984, Journal of computer assisted tomography.

[21]  Richard E. Carson,et al.  Comment: The EM Parametric Image Reconstruction Algorithm , 1985 .

[22]  L. Shepp,et al.  Maximum Likelihood Reconstruction for Emission Tomography , 1983, IEEE Transactions on Medical Imaging.

[23]  Roger N. Gunn,et al.  Pharmacological constraints associated with positron emission tomographic scanning of small laboratory animals , 1998, European Journal of Nuclear Medicine.

[24]  Michel Defrise,et al.  Data Acquisition and Image Reconstruction for 3D PET , 1998 .

[25]  G.T. Gullberg,et al.  A maximum a posteriori algorithm for the reconstruction of dynamic SPECT data , 1998, 1998 IEEE Nuclear Science Symposium Conference Record. 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.98CH36255).

[26]  Donald W. Wilson,et al.  Noise properties of the EM algorithm. I. Theory , 1994 .

[27]  James F. Young,et al.  MicroPET: a high resolution PET scanner for imaging small animals , 1996, IEEE Nuclear Science Symposium Conference Record.