Improved image quality in contrast-enhanced 3D-T1 weighted sequence by compressed sensing-based deep-learning reconstruction for the evaluation of head and neck

Fujima, Noriyuki; Nakagawa, Junichi; Ikebe, Yohei; Kameda, Hiroyuki; Harada, Taisuke; Shimizu, Yukie; Tsushima, Nayuta; Kano, Satoshi; Homma, Akihiro; Kwon, Jihun; Yoneyama, Masami; Kudo, Kohsuke

Improved image quality in contrast-enhanced 3D-T1 weighted sequence by compressed sensing-based deep-learning reconstruction for the evaluation of head and neck

Fujima, Noriyuki; Nakagawa, Junichi; Ikebe, Yohei et al.

Magnetic resonance imaging, 2024, 108, 111-115

Permalink : https://hdl.handle.net/2115/94663

このアイテムのアクセス数:177件（2026-07-12 14:34 集計）

閲覧可能ファイル

ファイル	フォーマット	サイズ	閲覧回数	説明
HUSCAP_Manuscript_MainR1_ClearVersion	pdf	526 KB	125

論文情報

ファイル出力 EndNote Basic出力 Mendeley出力

アクセス権	open access
URI	https://hdl.handle.net/2115/94663
タイトル	Improved image quality in contrast-enhanced 3D-T1 weighted sequence by compressed sensing-based deep-learning reconstruction for the evaluation of head and neck
著者	Fujima, Noriyuki ; Nakagawa, Junichi ; Ikebe, Yohei ; Kameda, Hiroyuki ; Harada, Taisuke ; Shimizu, Yukie ; Tsushima, Nayuta ; Kano, Satoshi ; Homma, Akihiro ; Kwon, Jihun ; Yoneyama, Masami ; Kudo, Kohsuke
e-Rad_Researcher 80431360 著者名 Fujima, Noriyuki
著者名 Nakagawa, Junichi
著者名 Ikebe, Yohei
著者名 Kameda, Hiroyuki
著者名 Harada, Taisuke
著者名 Shimizu, Yukie
e-Rad_Researcher 50547643 著者名 Tsushima, Nayuta
e-Rad_Researcher 00374421 著者名 Kano, Satoshi
e-Rad_Researcher 30312359 著者名 Homma, Akihiro
著者名 Kwon, Jihun
著者名 Yoneyama, Masami
e-Rad_Researcher 10374232 著者名 Kudo, Kohsuke
言語	英語
キーワード	Head and neck
	Contrast-enhanced 3D-T1WI
	Compressed sensing
	Deep learning
	Reconstruction
発行日	2024-02-10
出版者	Elsevier
収録物名	Magnetic resonance imaging
巻(号)	108
ページ	111-115
抄録	Purpose To assess the utility of deep learning (DL)-based image reconstruction with the combination of compressed sensing (CS) denoising cycle by comparing images reconstructed by conventional CS-based method without DL in fat-suppressed (Fs)-contrast enhanced (CE) three-dimensional (3D) T1-weighted images (T1WIs) of the head and neck. Materials and methods We retrospectively analyzed the cases of 39 patients who had undergone head and neck Fs-CE 3D T1WI applying reconstructions based on conventional CS and CS augmented by DL, respectively. In the qualitative assessment, we evaluated overall image quality, visualization of anatomical structures, degree of artifacts, lesion conspicuity, and lesion edge sharpness based on a five-point system. In the quantitative assessment, we calculated the signal-to-noise ratios (SNRs) of the lesion and the posterior neck muscle and the contrast-to-noise ratio (CNR) between the lesion and the adjacent muscle. Results For all items of the qualitative analysis, significantly higher scores were awarded to images with DL-based reconstruction (p < 0.001). In the quantitative analysis, DL-based reconstruction resulted in significantly higher values for both the SNR of lesions (p < 0.001) and posterior neck muscles (p < 0.001). Significantly higher CNRs were also observed in images with DL-based reconstruction (p < 0.001). Conclusion DL-based image reconstruction integrating into the CS-based denoising cycle offered superior image quality compared to the conventional CS method. This technique will be useful for the assessment of patients with head and neck disease.
資源タイプ	学術雑誌論文
出版タイプ	Accepted Manuscript
権利情報	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
権利情報	© 2024. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
PISSN	0730-725X
関連情報 (isVersionOf)	出版社版DOI https://doi.org/10.1016/j.mri.2024.02.006