Development of three-dimensional MR neurography using an optimized combination of compressed sensing and parallel imaging

Aoike, Takuya; Fujima, Noriyuki; Yoneyama, Masami; Fujiwara, Taro; Takamori, Sayaka; Aoike, Suzuko; Ishizaka, Kinya; Kudo, Kohsuke

Development of three-dimensional MR neurography using an optimized combination of compressed sensing and parallel imaging

Aoike, Takuya; Fujima, Noriyuki; Yoneyama, Masami et al.

Magnetic resonance imaging, 2022, 87, 32-37

Permalink : https://hdl.handle.net/2115/88788

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論文情報

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アクセス権	open access
URI	https://hdl.handle.net/2115/88788
タイトル	Development of three-dimensional MR neurography using an optimized combination of compressed sensing and parallel imaging
著者	Aoike, Takuya ; Fujima, Noriyuki ; Yoneyama, Masami ; Fujiwara, Taro ; Takamori, Sayaka ; Aoike, Suzuko ; Ishizaka, Kinya ; Kudo, Kohsuke
著者名 Aoike, Takuya
e-Rad_Researcher 80431360 著者名 Fujima, Noriyuki
著者名 Yoneyama, Masami
著者名 Fujiwara, Taro
著者名 Takamori, Sayaka
著者名 Aoike, Suzuko
著者名 Ishizaka, Kinya
e-Rad_Researcher 10374232 著者名 Kudo, Kohsuke
言語	英語
キーワード	Magnetic resonance neurography
	Compressed sensing
	Sensitivity encoding
	Cervical nerve
発行日	2022-04-01
出版者	Elsevier
収録物名	Magnetic resonance imaging
巻(号)	87
ページ	32-37
抄録	Purpose: To assess the cervical magnetic resonance neurography (MRN) imaging quality obtained with compressed sensing and sensitivity-encoding (compressed SENSE; CS-SENSE) technique in comparison to that obtained with the conventional parallel imaging (i.e., SENSE) technique. Materials and methods: Five healthy volunteers underwent a three-dimensional (3D) turbo spin-echo (TSE)-based cervical MRN examination using a 3.0 Tesla MR-unit. All MRN acquisitions were performed with CS-SENSE and conventional SENSE. We used four acceleration factors (4, 8, 16 and 32) in CS-SENSE. The image quality in MRN was evaluated by assessing the degree of cervical nerve depiction using the contrast ratio (CR) and contrast-noise ratio (CNR) between the cervical nerve and the background signal intensity and a visual scoring system (1: poor, 2: moderate, 3: good). In all of the CR, CNR and visual score, we calculated the ratio of the CS-SENSE-based MRN to that from SENSE-based MRN plus the 95% confidence intervals (CIs) of these ratios. Results: In the multiple comparison of MRN images with the control of conventional SENSE-based MRN, both the quantitative CR values and the visual score for the CS-SENSE factors of 16 and 32 were significantly lower, whereas the CS-SENSE factors of 4 and 8 showed a non-significant difference. In addition, the quantitative CNR values obtained with the CS-SENSE factors of 4 and 8 were significantly higher than that obtained with the conventional SENSE-based MRN while the CS-SENSE factor of 32 was significantly lower, in contrast, the CS SENSE factors of 16 showed a non-significant difference. For CS-SENSE factors of 4 and 8, all ratios of the CS SENSE-based MRN values for CR, CNR and visual scores to those from SENSE-based MRN were above 0.95. Conclusion: CS-SENSE-based MRN can accomplish fast scanning with sufficient image quality when using a high acceleration factor.
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	© 2022. 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.2021.12.002