Performance of the Fourier rebinning algorithm for PET with large acceptance angles.

The recently proposed Fourier rebinning (FORE) technique of 3D PET reconstruction is investigated over a wide range of axial acceptance angles. In this study we evaluate the performance of the FORE technique using spatial resolution, contrast and noise figures of merit and compare reconstruction performance of the FORE (followed by multislice 2D reconstruction) to the 3D-RP technique for large-acceptance-angle data (+/-26.25 degrees). Our results show that the FORE technique does not affect the transverse resolution. On the other hand the axial resolution using FORE deteriorates faster, compared with the 3D-RP, at large radii as the acceptance angle increases. Concerning the noise behaviour, we have found that filtering has better ability to suppress the noise in the FORE reconstruction, compared with the 3D-RP reconstruction, especially in the slices near the edge of the axial field of view. Overall, the combination of good performance and fast reconstruction time makes the FORE technique a practical choice for 3D PET applications.

[1]  Kjell Erlandsson,et al.  3D reconstruction for a multi-ring PET scanner by single-slice rebinning and axial deconvolution , 1994 .

[2]  Robert M. Lewitt,et al.  A comparison of transform and iterative reconstruction techniques for a volume-imaging PET scanner with a large axial acceptance angle , 1995 .

[3]  Paul R. Edholm,et al.  Novel Properties Of The Fourier Decomposition Of The Sinogram , 1986, Other Conferences.

[4]  Michel Defrise,et al.  3D PET reconstruction with the ECAT EXACT HR using Fourier rebinning , 1995, 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record.

[5]  Robert M. Lewitt,et al.  Fourier correction for spatially variant collimator blurring in SPECT , 1995, IEEE Trans. Medical Imaging.

[6]  M. Daube-Witherspoon,et al.  Treatment of axial data in three-dimensional PET. , 1987, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[7]  Robert M. Lewitt,et al.  Fourier Method For Correction Of Depth-Dependent Collimator Blurring , 1989, Medical Imaging.

[8]  Paul Kinahan,et al.  Analytic 3D image reconstruction using all detected events , 1989 .

[9]  G Muehllehner,et al.  Three-dimensional imaging characteristics of the HEAD PENN-PET scanner. , 1997, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[10]  M. Defrise A factorization method for the 3D X-ray transform , 1995 .

[11]  Michel Defrise,et al.  Exact and approximate rebinning algorithms for 3-D PET data , 1997, IEEE Transactions on Medical Imaging.

[12]  G. Muehllehner,et al.  Three-dimensional image reconstruction for PET by multi-slice rebinning and axial image filtering , 1994, Physics in medicine and biology.