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International Journal of Biomedical Imaging
Volume 2007 (2007), Article ID 46846, 10 pages
doi:10.1155/2007/46846
Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution
1Faculty of Biomedical Engineering, Technion – Israel Institute of Technology, Haifa 32000, Israel
2Department of Nuclear Medicine, Rambam Health Care Campus, Haifa 35245, Israel
3The Ruth and Bruce Rappaport Faculty of Medicine, Technion – Israel Institute of Technology, Efron Street 1, P.O. Box 9649 Bat Galim, Haifa 31096, Israel
Received 11 June 2006; Revised 3 September 2006; Accepted 17 October 2006
Academic Editor: David Townsend
Copyright © 2007 John A. Kennedy et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Purpose. To provide PET/CT image fusion with an improved PET resolution and better contrast ratios than standard reconstructions. Method. Using a super-resolution algorithm, several PET acquisitions were combined to
improve the resolution. In addition, functional PET data was smoothed with a hybrid
computed tomography algorithm (HCT), in which anatomical edge information taken from
the CT was employed to retain sharper edges. The combined HCT and super-resolution
technique were evaluated in phantom and patient studies using a clinical PET scanner.
Results. In the phantom studies, 3 mm