波谱学杂志

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5.0 T 磁共振脂肪酸定量成像的参数优化与精度验证

马璐瑶1,2,3,程传力2,4,彭浩2,4,刘新2,4,梁栋2,4,邹超2,4,郑海荣2,4   

  1. 1. 南方科技大学生物医学工程系,广东 深圳 518055;2. 保罗C劳特伯生物医学成像研究中心,中国科学院深圳先进技术研究院,  广东 深圳 518055;3. 深圳理工大学,广东 深圳 518055,4. 医学成像科学与技术系统全国重点实验室,广东 深圳 518055
  • 收稿日期:2026-05-12 修回日期:2026-07-10 接受日期:2026-07-27
  • 通讯作者: 邹超 E-mail:chao.zou@siat.ac.cn
  • 基金资助:
    国家自然科学基金项目资助(62125111, 52293425);中国科学院磁共振技术联盟科研仪器设备研发与功能开发项目(2023GZL001)

Parameter Optimization and Accuracy Validation of Fatty Acid Quantification at 5.0 T MRI

MA Luyao1,2,3,CHENG Chuanli2,4,PENG Hao2,4,LIU Xin2,4,LIANG Dong2,4,ZOU Chao2,4*,ZHENG Hairong2,4   

  1. 1. Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China; 2. Paul C. Lauterbur Research Center For Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; 3. Shenzhen University of Advanced Technology, Shenzhen 518055, China; 4. State Key Laboratory of Biomedical Imaging Science and System, Shenzhen 518055, China
  • Received:2026-05-12 Revised:2026-07-10 Accepted:2026-07-27
  • Contact: ZOU Chao E-mail:chao.zou@siat.ac.cn

摘要: 为评价5.0 T超高场磁共振下脂肪酸成分(fatty acid composition, FAC)定量的准确性,本研究通过系统评估成像维度、读出极性及回波时间组合等关键参数对化学位移编码FAC定量结果的影响,建立适用于人体脂肪组织的成像方案。采用多回波梯度回波序列采集油模与在体数据,基于脂肪多峰先验约束模型稳定拟合不饱和双键数(ndb)、亚甲基中断双键数(nmidb),以磁共振波谱作为参照验证准确性。结果显示,三维成像定量结果更接近NMR参考值;单、双极性读出FAC数值无明显差异;TE1<1.9 ms、ΔTE=0.6~1.0 ms的回波组合可显著提升拟合精度。人体腹部皮下脂肪测得ndb=2.817±0.067、nmidb=0.858±0.087,具有良好的一致性与稳定性。研究结果为5.0 T超高场磁共振FAC精准定量及其代谢疾病应用提供了技术基础。

关键词: 化学位移编码磁共振成像, 脂肪酸成分, 多回波梯度回波, 5.0T磁共振, 成像参数选择

Abstract: This study evaluated the accuracy of fatty acid composition (FAC) quantification at 5.0 T ultra-high-field MRI by systematically assessing the effects of imaging dimensionality, readout polarity, and echo-time combination, and establishing a protocol for human adipose tissue. Multi-echo gradient-echo imaging was performed in oil phantoms and in vivo. The number of double bonds (ndb) and methylene-interrupted double bonds (nmidb) were stably estimated using a multi-peak fat prior-constrained model, with magnetic resonance spectroscopy as reference. Three-dimensional imaging yielded estimates closer to NMR values, while monopolar and bipolar readouts showed no significant differences. An echo-time combination of TE1<1.9 ms and ΔTE=0.6~1.0 ms significantly improved fitting accuracy. In human abdominal subcutaneous adipose tissue, ndb and nmidb were 2.817±0.067 and 0.858±0.087, respectively, demonstrating good consistency and stability. These results provide a technical basis for accurate FAC quantification at 5.0 T MRI and its application in metabolic disease research.

Key words: chemical shift-encoded MRI, fatty acid composition, multi-echo gradient echo, 5.0?T magnetic resonance, imaging parameter selection