Comparison of respiratory-gated and breath‑hold accelerated T2-weighted sequences for liver MRI with deep learning reconstruction

Q: What does this research mean for the field?

Respiratory-gated deep learning-reconstructed T2-weighted imaging improves image quality for liver MRI in patients who have difficulty with breath-holding. Novelty: ClaimNovelty.CONFIRMATORY. Consensus alignment: ConsensusAlignment.NEUTRAL.

Hualing Li; Chenglin Hu; Qiuxia Wang; Yanping Luo; Gen Chen; Xuemei Hu; Jie Di; Runyu Tang; Qiufeng Liu; Yang Yang; Zhen Li

doi:10.1186/s41747-026-00679-1

February 23, 2026European Radiology ExperimentalOpen Access

Comparison of respiratory-gated and breath‑hold accelerated T2-weighted sequences for liver MRI with deep learning reconstruction

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Key Points

This research aims to compare respiratory-gated and breath-hold T2-weighted sequences in liver MRI using deep learning reconstruction.
Used T2-weighted imaging (T2WI) sequences under respiratory-gated and breath-hold conditions.
Applied deep learning reconstruction techniques to enhance image quality.
Assessed the impact of respiratory curve traits on MRI quality.
Both imaging techniques resulted in satisfactory image quality.
Respiratory curve characteristics varied the quality of T2WI.
Respiratory-gated approaches were particularly beneficial for patients struggling with breath-holding.

Implication

Comparison shows improved image quality in liver MRI using deep learning techniques, suggesting better options for patients with breath-holding issues.

Abstract

Respiratory-gated and breath-hold deep learning T2WI exhibited satisfactory image quality. Respiratory curve traits variably impact T2WI quality, guiding personalized imaging workflows.‌ Respiratory-gated deep learning-reconstructed T2WI benefits patients with breath-holding difficulties in liver MRI.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/699e9143f5123be5ed04e9e8 https://doi.org/10.1186/s41747-026-00679-1

View Full Paper

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Comparison of respiratory-gated and breath‑hold accelerated T2-weighted sequences for liver MRI with deep learning reconstruction

Key Points

Implication

Abstract

Discussion

Cite This Study

Comparison of respiratory-gated and breath‑hold accelerated T2-weighted sequences for liver MRI with deep learning reconstruction

Key Points

Implication

Abstract

Discussion

Cite This Study

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