Abstract
This paper presents a method for the improvement of transaxial spatial resolution in Positron Emission Tomography (PET) images in 2D acquisition mode. The method is based on the experimental measurement of the system blurring properties which are then inserted into an iterative reconstruction algorithm. In order to maintain acceptable the computation time, an Ordered Subset algorithm OSEM was used. The proposed algorithm was tested on different phantoms and on oncological patients. It showed good performances in terms of contrast improvement and partial volume recovery without increasing the image noise component. The application of the presented method is particularly important in whole body oncological studies, where there is the need to resolve small lesion which can be located at different distances from the scanner axis and in different blurring conditions.
Original language | English |
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Title of host publication | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Editors | R.S. Leder |
Pages | 975-977 |
Number of pages | 3 |
Volume | 1 |
Publication status | Published - 2003 |
Event | A New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico Duration: Sep 17 2003 → Sep 21 2003 |
Other
Other | A New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Country/Territory | Mexico |
City | Cancun |
Period | 9/17/03 → 9/21/03 |
Keywords
- Contrast Recovery
- Iterative Reconstruction Algorithm
- PET
- Spatial Resolution
ASJC Scopus subject areas
- Bioengineering