Synthetic Low-Energy Monochromatic Image Generation in Single-Energy Computed Tomography System Using a Transformer-Based Deep Learning Model.

While dual-energy computed tomography (DECT) technology introduces energy-specific information in clinical practice, single-energy CT (SECT) is predominantly used, limiting the number of people who can benefit from DECT. This study proposed a novel method to generate synthetic low-energy virtual mon...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 37; no. 5; pp. 2688 - 2698
Main Authors:	Koike, Yuhei, Ohira, Shingo, Kihara, Sayaka, Anetai, Yusuke, Takegawa, Hideki, Nakamura, Satoaki, Miyazaki, Masayoshi, Konishi, Koji, Tanigawa, Noboru
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Oct2024
Online Access:	View this record in EBSCOhost