A comparison of normalization effects on three whole-body cylindrical 3D PET systems.

Normalization coefficients in three-dimensional positron emission tomography (3D PET) are affected by parameters such as camera geometry and the design and arrangement of the block detectors. In this work, normalization components for three whole-body 3D-capable tomographs (the GE Advance, the Siemens/CTI962/HR+ and the Siemens/CTI951R) are compared by means of a series of scans using uniform cylindrical and rotating line sources. Where applicable, the manufacturers' normalization methods are validated, and it is shown that these methods can be improved upon by using previously published normalization protocols. Those architectural differences between the three tomographs that affect normalization are discussed with a view to drawing more general conclusions about the effect of machine architecture on normalization. The data presented suggest that uniformity of system response becomes easier to achieve as the uniformity of crystal response within the detector block is improved.

[1]  E. Hoffman,et al.  Fully three-dimensional reconstruction for a PET camera with retractable septa , 1991 .

[2]  E. Hoffman,et al.  Investigation of deadtime characteristics for simultaneous emission-transmission data acquisition in PET , 1997 .

[3]  Simon R. Cherry,et al.  Effects of scatter on model parameter estimates in 3D PET studies of the human brain , 1995 .

[4]  G Brix,et al.  Performance evaluation of a whole-body PET scanner using the NEMA protocol. National Electrical Manufacturers Association. , 1997, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[5]  Simon R. Cherry,et al.  A comparison of PET detector modules employing rectangular and round photomultiplier tubes , 1995 .

[6]  T J Spinks,et al.  Physical performance of a positron tomograph for brain imaging with retractable septa. , 1992, Physics in medicine and biology.

[7]  P K Marsden,et al.  Algorithms for calculating detector efficiency normalization coefficients for true coincidences in 3D PET. , 1998, Physics in medicine and biology.

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

[9]  P K Marsden,et al.  Developments in component-based normalization for 3D PET. , 1999, Physics in medicine and biology.

[10]  A Geissbuhler,et al.  A normalization technique for 3D PET data. , 1991, Physics in medicine and biology.

[11]  Charles C. Watson,et al.  A technique for measuring the energy response of a PET tomograph using a compact scattering source , 1996, 1996 IEEE Nuclear Science Symposium. Conference Record.

[12]  J. Ollinger Model-based scatter correction for fully 3D PET. , 1996, Physics in medicine and biology.

[13]  E. Hoffman,et al.  A Monte Carlo correction for the effect of Compton scattering in 3-D PET brain imaging , 1995 .

[14]  Nuno Ferreira,et al.  Influence of Malfunctioning Block Detectors on the Calculation of Single Detector Efficiencies in PET , 1998 .

[15]  J. M. Ollinger Detector efficiency and Compton scatter in fully 3D PET , 1995 .