Characterization of sampling schemes for whole body PET imaging

Whole body PET images suffer from relatively high noise levels due to inherently poor counting statistics in the emission data. Optimization of acquisition parameters is essential, to minimize any additional noise contamination. It has previously been shown that by using a continuous or redundant ax...

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Bibliographic Details
Published in:IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States) 1994-08, Vol.41 (4), p.1571-1576
Main Authors: Dahlbom, M., Cutler, P.D., Digby, W.M., Luk, W.K., Reed, J.
Format: Article
Language:English
Subjects:
550601 - Medicine- Unsealed Radionuclides in Diagnostics
Biological and medical sciences
COMPUTERIZED TOMOGRAPHY
Contamination
COUNTING TECHNIQUES
DATA ACQUISITION
Data handling
Detectors
DIAGNOSTIC TECHNIQUES
EMISSION COMPUTED TOMOGRAPHY
IMAGE PROCESSING
Image quality
Image sampling
Investigative techniques, diagnostic techniques (general aspects)
Medical sciences
Miscellaneous. Technology
NOISE
Noise level
Noise reduction
POSITRON COMPUTED TOMOGRAPHY
PROCESSING
RADIOLOGY AND NUCLEAR MEDICINE
Radionuclide investigations
RESOLUTION
Sampling methods
SPATIAL RESOLUTION
Statistics
TOMOGRAPHY
WHOLE-BODY COUNTING
Whole-body PET
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Summary:Whole body PET images suffer from relatively high noise levels due to inherently poor counting statistics in the emission data. Optimization of acquisition parameters is essential, to minimize any additional noise contamination. It has previously been shown that by using a continuous or redundant axial sampling scheme, a reduction in statistical noise and improvement in image quality are possible. In this work, the continuous axial sampling technique is further characterized and compared to the conventional step-and-shoot technique. The main source of additional noise contamination with conventional sampling is the detector sensitivity normalization procedure which is applied to the emission data. With continuous axial sampling and a single normalization matrix for all planes, the statistical noise in the normalization factors is reduced by factor close to the number of planes in the scanner. The continuous sampling technique is shown to be less sensitive to small patient movements (
ISSN:0018-9499
1558-1578
DOI:10.1109/23.322951