Ultrafast Simultaneous T₁, T₂, T₂*, PD, ΔB₀, and B₁ Mapping via Longitudinal Magnetization Controlled MOLED Acquisition.

IF 4.5 2区医学 Q2 ENGINEERING, BIOMEDICAL

IEEE Transactions on Biomedical Engineering Pub Date : 2025-07-18 DOI:10.1109/TBME.2025.3590286

Weikun Chen, Taishan Kang, Qing Lin, Xinyu Guo, Jian Wu, Simin Li, Yuchen Zheng, Jianzhong Lin, Liangjie Lin, Jiazheng Wang, Xiaobo Qu, Zhong Chen, Shuhui Cai, Congbo Cai

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引用次数: 0

Abstract

Objective: Multi-parametric quantitative mag- netic resonance imaging (mqMRI) provides comprehensive and accurate information about tissue microstructure and holds significant clinical value for the diagnosis and treatment of diseases. However, conventional methods require long scan time, leading to registration errors and physiological variability between different sequence acqui- sitions. This study aims to propose an advanced imaging method that addresses these limitations.

Methods: A novel approach called longitudinal magnetization controlled multiple overlapping-echo detachment (LMC-MOLED) imaging was proposed. LMC-MOLED leverages a deep neural network trained on synthetic data generated from Bloch simulation, incorporating non-ideal factors such as B0 and B1 inhomogeneities to efficiently reconstruct parametric maps.

Results: LMC-MOLED enables simulta- neous quantification of T1, T2, T2*, proton density (PD), ΔB0, and B1 parameters in approximately 1.2 seconds per slice. Validation experiments using numerical brain, phantom, and human brains demonstrate its excellent performance, particularly in terms of acquisition speed, image quality, and robustness. Additionally, LMC-MOLED effectively corrects distortions introduced by long echo train acquisition.

Conclusion and significance: LMC-MOLED offers a rapid, robust solution for mqMRI, providing multi-parametric mapping in a single scan with signify- cantly reduced acquisition time. It holds potential to improve diagnostic accuracy and alleviate patient burden.

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超高速同时T1， T2, T2*， PD， ΔB0和B1映射通过纵向磁化控制MOLED采集。

目的：多参数定量磁共振成像技术（mqMRI）提供全面、准确的组织微观结构信息，对疾病的诊断和治疗具有重要的临床价值。然而，传统的方法需要较长的扫描时间，导致配准错误和不同序列获取之间的生理差异。本研究旨在提出一种先进的成像方法来解决这些限制。方法：提出一种纵向磁化控制多重重叠回波分离成像方法。LMC-MOLED利用由Bloch模拟生成的合成数据训练的深度神经网络，结合非理想因素（如B0和B1非均匀性）来有效地重建参数图。结果：LMC-MOLED可以在大约1.2秒的时间内同时定量T1、T2、T2*、质子密度（PD）、ΔB0和B1参数。使用数值脑、幻影和人脑的验证实验证明了其出色的性能，特别是在获取速度、图像质量和鲁棒性方面。此外，LMC-MOLED有效地纠正了长回波序列采集带来的畸变。结论和意义：LMC-MOLED为mqMRI提供了一种快速、强大的解决方案，在单次扫描中提供多参数映射，显著缩短了采集时间。它具有提高诊断准确性和减轻患者负担的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Biomedical Engineering 工程技术-工程：生物医学

CiteScore

9.40

自引率

4.30%

发文量

880

审稿时长

2.5 months

期刊介绍： IEEE Transactions on Biomedical Engineering contains basic and applied papers dealing with biomedical engineering. Papers range from engineering development in methods and techniques with biomedical applications to experimental and clinical investigations with engineering contributions.