Title :
PET attenuation correction using mean attenuation coefficients: a simulation study
Author_Institution :
Iowa Univ., Iowa City, IA, USA
Abstract :
It is desirable to use mean population attenuation coefficients to reduce the statistical fluctuations in measured attenuation maps. In addition, the use of mean attenuation coefficients is also expected to facilitate algorithmic approaches to attenuation correction. Because of the large variation in lung attenuation coefficients both within and among individuals, there is concern about the errors using mean attenuation might create. To test the magnitude of this problem, myocardial metabolic studies were simulated. Attenuated projections were generated from 20 emission and transmission distributions spanning the heart volume. The projections were corrected with both the actual attenuation map and with a mean attenuation map. Quantitative comparisons of the reconstructed images demonstrate no significant differences in the myocardial distributions. However, errors in the lung field exceeded 300% in some regions.
Keywords :
cardiology; gamma-ray absorption; lung; medical image processing; positron emission tomography; PET attenuation correction; attenuation correction; heart volume; lung field errors; mean attenuation coefficients; myocardial distribution; myocardial metabolic studies; nuclear medicine; reconstructed images; statistical fluctuations reduction; Attenuation measurement; Cities and towns; Fluctuations; Heart; Image reconstruction; Lungs; Myocardium; Positron emission tomography; Testing; Thorax;
Journal_Title :
Nuclear Science, IEEE Transactions on