MULTI-ECHO PHASE-BASED FAT/WATER SEPARATION

基于多回波相位的脂肪/水分离

• 批准号: 7358789
• 负责人: WENXIAO LU
• 金额: $ 0.94万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-06-01 至 2007-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7358789
• 关键词: MULTI; ECHO; PHASE; BASED; FAT

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Introduction: Fat suppression is crucial to numerous clinical applications of MRI, including cardiovascular, abdominal and musculoskeletal imaging. In previous work, partially supported by this research resource, investigators have developed a robust iterative reconstruction technique, ¿IDEAL,¿ to separate water from fat using several MR images with different echo times resulting in different phase difference between fat and water signals. Initial clinical evaluation of IDEAL has been successful. However, the technique can benefit from scan time reduction, and improved efficiency, which are both goals of the present work. Methods and Discussion: IDEAL (Iterative Decomposition of water and fat with Echo Asymmetry and Least squares estimation) is a robust algorithm for separation of water and fat using images with at least 3 different echo times. Normally, a full acquisition is used for each echo time. In this work we use a multi-echo readout, that acquires data for all three echo times in a single acquisition. This reduces total scan time by about a factor of two, without reducing SNR significantly, and improves robustness to patient motion. We have applied this technique to musculoskeletal imaging to produce a sub-five-minute 3D cartilage imaging sequence, and to 3D liver imaging, which enables imaging within a breath-hold. Results show excellent fat/water separation in most cases, though as the echo spacing increases, there are cases where the fat/water swaps occur. Future work will involve improving the robustness of the reconstruction as the echo spacing increases, allowing higher resolution imaging. We will also apply this technique to rapid cardiac imaging, where motion makes the standard IDEAL technique difficult.

该主题是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。子弹和调查员（PI）可能已经从其他NIH来源获得了主要资金，因此可以在其他清晰的条目中代表。列出的机构是针对该中心的，这不是调查人员的机构。简介：抑制脂肪对于MRI的众多临床应用至关重要，包括心血管，腹部和肌肉骨骼成像。在以前的工作中，在该研究资源的部分支持下，研究人员开发了一种强大的迭代重建技术，``理想，````理想，''，使用几个具有不同回声时间的MR图像将水与脂肪分开，从而导致脂肪和水信号之间的相差不同。理想的最初临床评估已经成功。但是，该技术可以从缩短扫描时间和提高效率中受益，这都是当前工作的目标。方法和讨论：理想（与回声不对称和最小二乘估计的水和脂肪的迭代分解）是一种适合使用至少3个不同回声时间的图像分离水和脂肪的鲁棒算法。通常，每个回声时间都会使用全部收购。在这项工作中，我们使用多回波读数，该读数将在一次收购中获取所有三个回声时间的数据。这将总扫描时间减少了约2倍，而不会显着降低SNR，并提高了患者运动的鲁棒性。我们已经将此技术应用于肌肉骨骼成像，以产生低于五分钟的3D软骨成像序列，并将其用于3D肝脏成像，从而在呼吸中实现成像。结果在大多数情况下显示出极好的脂肪/水分分离，尽管随着回声间距的增加，在某些情况下会发生脂肪/水交易。未来的工作将涉及改善重建的鲁棒性，随着回声间距的增加，可以提高分辨率成像。我们还将将此技术应用于快速心脏成像，其中运动使标准理想技术变得困难。