The fast spiral-SelMQC technique for in vivo MR spectroscopic imaging of polyunsaturated fatty acids in human breast tissue.

The fast spiral-SelMQC technique for in vivo MR spectroscopic imaging of polyunsaturated fatty acids in human breast tissue.
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DOI:
10.1002/mrm.22901
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发表时间:
2012-01
影响因子:
3.3
通讯作者:
He, Qiuhong
He, Qiuhong
中科院分区:
医学3区
文献类型:
--
作者:
Zhu, He;Rubin, Denis;He, Qiuhong

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选择性多量子相干转移(Sel-MQC)方法已被应用于人体乳腺组织中的多不饱和脂肪酸(PUFA)分布图像,用于癌症检测,在单次扫描中完全抑制不需要的脂质和水信号。然而,使用Sel-MQC CSI技术的体内PUFA的笛卡尔k空间映射需要过多的MR扫描时间。在这篇文章中,我们报告了一个快速螺旋SelMQC序列采用快速螺旋k空间采样方案。在3 T GE Signa MRI扫描仪上使用两个交错螺旋获得人乳腺PUFA分布的Spiral-SelMQC图像。与具有相同扫描次数的相应Sel-MQC CSI方法相比,观察到采集时间减少约160倍,允许在几分钟内采集高分辨率PUFA图像。重建的人乳腺组织Spiral-SelMQC PUFA图像在FOV = 14或16 cm时的分辨率分别为0.54×0.54或0.63× 0.63mm 2/pixel。在2D Sel-MQC实验中优化了用于PUFA检测的Spiral-SelMQC参数,以抑制单不饱和脂肪酸(MUFA)和其他脂质信号。该快速活体Spiral-SelMQC成像方法将应用于研究人类乳腺癌和其他人类颅外器官疾病。
The Selective Multiple-Quantum Coherence Transfer (Sel-MQC) method has been applied to image polyunsaturated fatty acids (PUFA) distributions in human breast tissues in vivo for cancer detection, with complete suppression of the unwanted lipid and water signals in a single scan. The Cartesian k-space mapping of PUFA in vivo using the Sel-MQC CSI technique, however, requires excessive MR scan time. In this article, we report a fast Spiral-SelMQC sequence employing a rapid spiral k-space sampling scheme. The Spiral-SelMQC images of PUFA distribution in human breast were acquired using two-interleaved spirals on a 3T GE Signa MRI scanner. Approximately 160-fold reduction of acquisition time was observed as compared to the corresponding Sel-MQC CSI method with an equivalent number of scans, permitting acquisition of high-resolution PUFA images in minutes. The reconstructed Spiral-SelMQC PUFA images of human breast tissues achieved a sub-millimeter resolution of 0.54×0.54 or 0.63×0.63mm2/pixel for FOV = 14 or 16cm, respectively. The Spiral-SelMQC parameters for PUFA detection were optimized in 2D Sel-MQC experiments to suppress monounsaturated fatty acids (MUFA) and other lipid signals. The fast in vivo Spiral-SelMQC imaging method will be applied to study human breast cancer and other human diseases in extracranial organs.
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