@article{oai:repo.qst.go.jp:00085244,
 author = {Wagatsuma, Kei and Miwa, Kenta and Kamitaka, Yuto and Koike, Emiya and Yamao, Tensho and Yoshii, Tokiya and Kobayashi, Rinya and Nezu, Shogo and Sugamata, Yuta and Miyaji, Noriaki and Imabayashi, Etsuko and Ishibashi, Kenji and Toyohara, Jun and Ishii, Kenji and Yuto, Kamitaka and Etsuko, Imabayashi},
 issue = {5},
 journal = {Medical physics},
 month = {Mar},
 note = {The Bayesian penalized likelihood (BPL) reconstruction algorithm, Q.Clear, can achieve a higher signal-to-noise ratio on images and more accurate quantitation than ordered subset-expectation maximization (OSEM). The reconstruction parameter (β) in BPL requires optimization according to the radiopharmaceutical tracer. The present study aimed to define the optimal β value in BPL required to diagnose Alzheimer disease from brain positron emission tomography (PET) images acquired using  F-fluoro-2-deoxy-D-glucose ([ F]FDG) and  C-labeled Pittsburg compound B ([ C]PiB).},
 pages = {2995--3005},
 title = {Determination of optimal regularization factor in Bayesian penalized likelihood reconstruction of brain PET images using [ F]FDG and [ C]PiB.},
 volume = {49},
 year = {2022}
}