The primary goal of the proposed research is to quantitate PET data acquired in 3-D-mode. The outstanding feature of PET is that it enables researchers and clinicians to assign a quantitative value or rate to an in vivo physiological process. These processes include such things as glucose utilization by tumors, blood supply to the heart, or-the ability of the brain to use neurotransmitters. By removing the collimating septa and acquiring PET data in 3D-mode, the sensitivity is increased by a factor of -6, compared to the conventional slice-mode. If 3D PET could be used on a quantitative basis, the 6-fold increase in sensitivity would translate directly to either a 6-fold decrease in patient dose, a 6-fold increase in statistics, or a 6-fold increase in patient throughput. While data can be acquired in 3D-mode today, it is not yet possible to assign a quantitative value to this data. The difficulties in quantitating 3D PET stem from the lack of collimation, which permits a greater number of undesirable scattered gama-rays to be detected. A tradeoff is made: more """"""""true"""""""" events are detected, but more scattered events are also detected, which makes quantitation more difficult. The research proposed here seeks to develop methods and algorithms to enable 3D PET quantitation. The specific areas to be addressed include: detector calibration (assigning an accurate muCi/ml tissue to each image pixel); detector normalization (correcting for differing sensitivities of individual detectors); scatter correction: (correcting for the undesirable scattered events); attenuation correction (since radioactive events originating deep in a tissue mass will be scattered more than those from a superficial location); and image reconstruction (transforming sinogram data into a recognizable image).

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
5F32CA067486-03
Application #
2390882
Study Section
Diagnostic Radiology Study Section (RNM)
Project Start
1997-03-10
Project End
Budget Start
1997-08-04
Budget End
1998-03-09
Support Year
3
Fiscal Year
1997
Total Cost
Indirect Cost
Name
University of British Columbia
Department
Type
DUNS #
800772162
City
Vancouver
State
BC
Country
Canada
Zip Code
V6 1-Z3
Sossi, V; Oakes, T R; Chan, G L et al. (1998) Quantitative comparison of three- and two-dimensional PET with human brain studies. J Nucl Med 39:1714-9
Sossi, V; Oakes, T R; Ruth, T J (1998) A phantom study evaluating the quantitative aspect of 3D PET imaging of the brain. Phys Med Biol 43:2615-30
Oakes, T R; Sossi, V; Ruth, T J (1998) Normalization for 3D PET with a low-scatter planar source and measured geometric factors. Phys Med Biol 43:961-72