Generating PET Attenuation Maps via Sim2Real Deep Learning–Based Tissue Composition Estimation Combined with MLACF.

Deep learning (DL) has recently attracted attention for data processing in positron emission tomography (PET). Attenuation correction (AC) without computed tomography (CT) data is one of the interests. Here, we present, to our knowledge, the first attempt to generate an attenuation map of the human...

Descripción completa

Detalles Bibliográficos

Publicado en:	Journal of Digital Imaging Vol. 37; no. 1; pp. 167 - 180
Autores principales:	Kobayashi, Tetsuya, Shigeki, Yui, Yamakawa, Yoshiyuki, Tsutsumida, Yumi, Mizuta, Tetsuro, Hanaoka, Kohei, Watanabe, Shota, Morimoto‑Ishikawa, Daisuke, Yamada, Takahiro, Kaida, Hayato, Ishii, Kazunari
Formato:	diagnostic images research tables/charts Journal Article
Publicado:	Springer Nature Feb2024
Acceso en línea:	Ver este registro en EBSCOhost