AI-assisted compressed sensing and parallel imaging sequences for MRI of patients with nasopharyngeal carcinoma: comparison of their capabilities in terms of examination time and image quality.

Authors:
Liu H; Deng D; Zeng W; Huang Y; Zheng C and 5 more

Journal:
Eur Radiol

Publication Year: 2023

DOI:
10.1007/s00330-023-09742-6

PMCID:
PMC10598173

PMID:
37219618

Journal Information

Full Title: Eur Radiol

Abbreviation: Eur Radiol

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Radiology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"Declarations GuarantorThe scientific guarantor of this publication is Guixiao Xu (corresponding author). Conflict of interestThe authors declare that there is no conflict of interest. Statistics and biometryNo complex statistical methods were necessary for this paper. Informed consentWritten informed consent was obtained from all patients in this study. Ethical approvalInstitutional review board approval was obtained. Methodology• retrospective• observational study• performed at one institution Conflict of interest The authors declare that there is no conflict of interest."

Evidence found in paper:

"Funding The authors state that this work has not received any funding."

Protocol Registration
Open Access
Paper is freely available to read
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Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025