The applicants proposed to explore a design concept for the development of economic, compact PET (Positron emission tomography) systems (ezPET) which promise high performance at low cost, as well as excellent design flexibility and user friendliness. The key to the new design concept is the use of non-iterative sinogram restoration techniques for exploiting the full information content made available by the use of the new-generation depth-of-interaction (DOI) detectors. Using this design concept, the goal is to develop PET systems that employ detector rings as small as their intended sizes of the field-of-view (FOV), but produce images of ultrahigh resolution ( aboutl mm) free of parallax errors with no need to resort to interactive reconstruction methods. In this research, the applicants propose to build a prototype benchtop unit for verifying the proposed design concept. This benchtop unit will also be used to examine various important design issues, including the selection of detector-ring radius for given FOV size and the effect of DOI-detector configuration on achievable image quality. In addition, they will also measure the system sensitivity, scatter fractions, and noise equivalent counts for various system configurations. From these measurements, they will form important design guideline and utilize them to design an ezPET system specifically for imaging small animals. Thus, the proposed ezPET systems will facilitate the penetration of PET technology into community hospitals as well as a wide area of biomedical research.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21CA088367-01
Application #
6190935
Study Section
Diagnostic Imaging Study Section (DMG)
Program Officer
Menkens, Anne E
Project Start
2000-09-14
Project End
2002-08-31
Budget Start
2000-09-14
Budget End
2001-08-31
Support Year
1
Fiscal Year
2000
Total Cost
$133,697
Indirect Cost
Name
University of Chicago
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
225410919
City
Chicago
State
IL
Country
United States
Zip Code
60637
Kao, Chien-Min; Pan, Xiaochuan; Chen, Chin-Tu (2004) An exact Fourier rebinning algorithm for 3D PET imaging using panel detectors. Phys Med Biol 49:2407-23