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...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 37; no. 1; pp. 167 - 180
Main Authors:	Kobayashi, Tetsuya, Shigeki, Yui, Yamakawa, Yoshiyuki, Tsutsumida, Yumi, Mizuta, Tetsuro, Hanaoka, Kohei, Watanabe, Shota, Morimoto‑Ishikawa, Daisuke, Yamada, Takahiro, Kaida, Hayato, Ishii, Kazunari
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Feb2024
Online Access:	View this record in EBSCOhost