Annals of nuclear medicine · 2022
Initial evaluation of a new maximum-likelihood attenuation correction factor-based attenuation correction for time-of-flight brain PET.
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Mizuta Tetsuro, Kobayashi Tetsuya, Yamakawa Yoshiyuki, Hanaoka Kohei, Watanabe Shota, Morimoto-Ishikawa Daisuke, Yamada Takahiro, Kaida Hayato, Ishii Kazunari
Аннотация
AIM: The aim of this study was to evaluate an image reconstruction algorithm, including a new maximum-likelihood attenuation correction factor (ML-ACF) for time of flight (TOF) brain positron emission tomography (PET).
METHODS: The implemented algorithm combines an ML-ACF method that simultaneously estimates both the emission image and attenuation sinogram from TOF emission data, and a scaling method based on anatomical features. To evaluate the algorithm's quantitative accuracy, three-dimensional brain phantom images were acquired and soft-tissue attenuation coefficients and emission values were analyzed.
RESULTS: The heterogeneous distributions of attenuation coefficients in soft tissue, skull, and nasal cavity were sufficiently visualized. The attenuation coefficient of soft tissue remained within 5% of theoretical value. Attenuation-corrected emission showed no lateral differences, and significant differences among soft tissue were within the error range.
CONCLUSION: The ML-ACF-based attenuation correction implemented for TOF brain PET worked well and obtained practical levels of accuracy.
METHODS: The implemented algorithm combines an ML-ACF method that simultaneously estimates both the emission image and attenuation sinogram from TOF emission data, and a scaling method based on anatomical features. To evaluate the algorithm's quantitative accuracy, three-dimensional brain phantom images were acquired and soft-tissue attenuation coefficients and emission values were analyzed.
RESULTS: The heterogeneous distributions of attenuation coefficients in soft tissue, skull, and nasal cavity were sufficiently visualized. The attenuation coefficient of soft tissue remained within 5% of theoretical value. Attenuation-corrected emission showed no lateral differences, and significant differences among soft tissue were within the error range.
CONCLUSION: The ML-ACF-based attenuation correction implemented for TOF brain PET worked well and obtained practical levels of accuracy.