DocumentCode :
322817
Title :
Fully 3D Bayesian image reconstruction for the ECAT EXACT HR+
Author :
Qi, Jinyi ; Leahy, Richard M. ; Hsu, Chinghan ; Farquhar, Thomas H. ; Cherry, Simon R.
Author_Institution :
Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA
Volume :
2
fYear :
1997
fDate :
9-15 Nov 1997
Firstpage :
953
Abstract :
A fully 3D Bayesian method is described for high resolution reconstruction of images from the Siemens/CTI ECAT EXACT HR+ whole-body PET scanner. To maximize resolution recovery from the system the authors model depth dependent geometric efficiency, intrinsic detector efficiency, photon pair non-colinearity, crystal penetration and inter-crystal scatter. The authors also explicitly model the effects of axial rebinning and mashing on the detection probability or system matrix. By fully exploiting sinogram symmetries and using a factored system matrix and automated indexing schemes, the authors are able to achieve substantial savings in both the storage size and time required to compute forward and backward projections. Bayesian reconstructions are computed using a Huber prior and a shifted-Poisson likelihood model that accounts for the effects of randoms subtraction and scatter. Reconstructions of phantom data show that the 3D Bayesian method can achieve improved FWHM resolution and contrast recovery ratios at matched background noise levels compared to both the 3D reprojection method and an OSEM method based on the shifted-Poisson model
Keywords :
Bayes methods; image reconstruction; image resolution; medical image processing; positron emission tomography; ECAT EXACT HR+; Huber prior; backward projection; contrast recovery ratio; crystal penetration; depth dependent geometric efficiency; forward projection; fully 3D Bayesian image reconstruction; high resolution reconstruction; inter-crystal scatter; intrinsic detector efficiency; medical diagnostic imaging; nuclear medicine; phantom data; photon pair noncolinearity; resolution recovery maximization; shifted-Poisson likelihood model; sinogram symmetries; Bayesian methods; Detectors; Electromagnetic scattering; Image reconstruction; Image resolution; Mashups; Particle scattering; Photonic crystals; Solid modeling; Whole-body PET;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium, 1997. IEEE
Conference_Location :
Albuquerque, NM
ISSN :
1082-3654
Print_ISBN :
0-7803-4258-5
Type :
conf
DOI :
10.1109/NSSMIC.1997.670468
Filename :
670468
Link To Document :
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