Suppr超能文献

在0.55 T磁场强度下,采用呼吸运动校正技术进行同步三维、[此处原文缺失部分内容]和脂肪信号分数映射,以实现对肝脏组织的全面表征。

Simultaneous 3D , , and fat-signal-fraction mapping with respiratory-motion correction for comprehensive liver tissue characterization at 0.55 T.

作者信息

Tripp Donovan P, Kunze Karl P, Crabb Michael G, Prieto Claudia, Neji Radhouene, Botnar René M

机构信息

School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK.

出版信息

Magn Reson Med. 2024 Dec;92(6):2433-2446. doi: 10.1002/mrm.30236. Epub 2024 Jul 29.

Abstract

PURPOSE

To develop a framework for simultaneous three-dimensional (3D) mapping of , , and fat signal fraction in the liver at 0.55 T.

METHODS

The proposed sequence acquires four interleaved 3D volumes with a two-echo Dixon readout. and are encoded into each volume via preparation modules, and dictionary matching allows simultaneous estimation of , , and for water and fat separately. 2D image navigators permit respiratory binning, and motion fields from nonrigid registration between bins are used in a nonrigid respiratory-motion-corrected reconstruction, enabling 100% scan efficiency from a free-breathing acquisition. The integrated nature of the framework ensures the resulting maps are always co-registered.

RESULTS

, , and fat-signal-fraction measurements in phantoms correlated strongly (adjusted ) with reference measurements. Mean liver tissue parameter values in 10 healthy volunteers were , , and for , , and fat signal fraction, giving biases of , , and percentage points, respectively, when compared to conventional methods.

CONCLUSION

A novel sequence for comprehensive characterization of liver tissue at 0.55 T was developed. The sequence provides co-registered 3D , , and fat-signal-fraction maps with full coverage of the liver, from a single nine-and-a-half-minute free-breathing scan. Further development is needed to achieve accurate proton-density fat fraction (PDFF) estimation in vivo.

摘要

目的

开发一种在0.55 T场强下对肝脏进行水、脂肪分数和脂肪信号分数同步三维(3D)成像的框架。

方法

所提出的序列通过双回波狄克逊读出采集四个交错的3D容积数据。水和脂肪通过准备模块编码到每个容积数据中,字典匹配允许分别对水和脂肪的水、脂肪分数和脂肪信号分数进行同步估计。二维图像导航器用于呼吸分箱,各分箱间非刚性配准得到的运动场用于非刚性呼吸运动校正重建,实现自由呼吸采集时100%的扫描效率。该框架的集成特性确保生成的图谱始终配准。

结果

模型中水、脂肪分数和脂肪信号分数测量值与参考测量值高度相关(调整后 )。10名健康志愿者肝脏组织参数的平均值,水、脂肪分数和脂肪信号分数分别为 、 和 ,与传统方法相比,偏差分别为 、 和 个百分点。

结论

开发了一种在0.55 T场强下对肝脏组织进行全面表征的新序列。该序列通过单次9分半钟的自由呼吸扫描,提供了覆盖整个肝脏的配准3D水、脂肪分数和脂肪信号分数图谱。在体内实现准确的质子密度脂肪分数(PDFF)估计还需要进一步改进。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验