Ho Ruo-Jing, Lam Fan
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:1465-1468. doi: 10.1109/EMBC44109.2020.9176633.
This work presents a new method to achieve accelerated, high-resolution magnetic resonance spectroscopic imaging (MRSI) with spin-echo excitations. A new data acquisition strategy is proposed that integrates adiabatic refocusing, elimination of lipid suppression, rapid spatiospectral encoding with sparse (k,t)-space sampling, and interleaved water navigators. This integration leads to a significantly improved combination of volume coverage, spatial resolution (approximately 3 × 3.4 × 4 mm) and speed (< 10 minutes), while eliminating additional scans for field mapping and coil sensitivity estimation. A data processing strategy that integrates parallel imaging reconstruction and subspace-based processing is devised to produce high-SNR spatiospectral reconstruction from the sparsely sampled, noisy and highresolution MRSI data. Promising in vivo results have been obtained to demonstrate the potential of the proposed method.Clinical relevance- The proposed method enabled volumetric MRSI with a nominal resolution of 3 × 3.4 × 4 mm in less than 10 minutes. With further developments and optimizations, the proposed method is expected to be useful for providing molecular-level information of brain functions and diseases, and has the potential to provide new biomarkers for disease diagnosis and treatment monitoring.
这项工作提出了一种利用自旋回波激发实现加速、高分辨率磁共振波谱成像(MRSI)的新方法。提出了一种新的数据采集策略,该策略整合了绝热重聚焦、消除脂肪抑制、采用稀疏(k,t)空间采样的快速空间谱编码以及交错式水导航器。这种整合显著改善了体积覆盖、空间分辨率(约3×3.4×4毫米)和速度(<10分钟)的组合,同时无需额外进行场图绘制和线圈灵敏度估计扫描。设计了一种整合并行成像重建和基于子空间处理的数据处理策略,以从稀疏采样、有噪声且高分辨率的MRSI数据中生成高信噪比的空间谱重建。已获得了有前景的体内结果,以证明所提出方法的潜力。临床相关性——所提出的方法能够在不到10分钟的时间内实现标称分辨率为3×3.4×4毫米的容积MRSI。随着进一步的发展和优化,预计所提出的方法将有助于提供脑功能和疾病的分子水平信息,并有可能为疾病诊断和治疗监测提供新的生物标志物。