Paper Abstract and Keywords |
Presentation |
2013-01-25 13:10
Influence of MRI-based attenuation correction methods on quantitative analysis of brain PET Hiroshi Kawaguchi (NIRS), Asuka Tanigawa, Mikio Suga (Chiba Univ.), Yoshiyuki Hirano, Takahiro Shiraishi, Eiji Yoshida, Yasuyuki Kimura, Katsuyuki Tanimoto, Takayuki Obata, Hiroshi Ito, Taiga Yamaya (NIRS) MI2012-108 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The quantitative capability is fundamental for PET in the human brain. Several attenuation correction methods for PET/MRI scanner have been reported, however, the influence of the methods on quantitative values in reconstructed PET images has not been investigated well. In addition, the adequacy in attenuation coefficient being assigned is also ambiguous. In this study, we evaluated the effects of attenuation correction methods on the quantification of 18F-FDG-PET in the human brain. Furthermore, the dependency of quantitative value was also investigated by perturbing the assignment of attenuation coefficient. The results indicated that the quantitative values on reconstructed PET image depended on the attenuation correction methods. The error in attenuation coefficient of the brain caused larger error in the quantitative PET value than that of the bone and soft tissues did. Moreover, the influence of an incorrect attenuation coefficient for brain is larger in deep gray matter, such as the striatum and thalamus, than in the occipital and temporal cortices. In contrast, an incorrect attenuation coefficient for bone and superficial soft tissue has a larger influence on cortical pixel intensities than on those in deep gray matter. The 10% error in the attenuation coefficients being assigned to brain regions caused around 6 to 8% error on the radioactivity of PET images. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
PET/MRI / attenuation correction for PET / human brain PET / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 411, MI2012-108, pp. 239-244, Jan. 2013. |
Paper # |
MI2012-108 |
Date of Issue |
2013-01-17 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MI2012-108 |
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