Paper
1 May 1994 Contributions of statistical noise to spatial heterogeneity of PET images of pulmonary function
Jose Gabriel Venegas, Steven Treppo, Srboljub Mijailovich
Author Affiliations +
Abstract
We have recently developed methodologies to assess the local distributions of alveolar ventilation and pulmonary perfusion using positron emission tomography (PET) with 13NN gas as a tracer. In order to quantify the true regional heterogeneity in lung function from these images, it was important to assess the contributions of noise caused by finite count statistics and by imaging artifacts. To characterize these artifacts we collected multiple images with different total number of counts from a uniform phantom labeled with 11CO2 and assessed their heterogeneity as the mean normalized variance of the pixel by pixel data. We developed a novel disc phantom made of open cell foam with a density comparable to that of the lungs. Images of this phantom were reconstructed with a Hanning filter set for different resolution lengths (L). The mean normalized variance of these images was found to closely follow a linear relationship with the inverse of the average number of counts per pixel and L-3 having an intercept that represented the heterogeneity caused by imaging and reconstruction artifacts.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jose Gabriel Venegas, Steven Treppo, and Srboljub Mijailovich "Contributions of statistical noise to spatial heterogeneity of PET images of pulmonary function", Proc. SPIE 2168, Medical Imaging 1994: Physiology and Function from Multidimensional Images, (1 May 1994); https://doi.org/10.1117/12.174410
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Cameras

Positron emission tomography

Lung

Image resolution

Tissues

Foam

Spatial resolution

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