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使用传统读出梯度对人脑进行N-乙酰天门冬氨酸加权成像。

NAA-weighted imaging of the human brain using a conventional readout gradient.

作者信息

Wald L L, Frederick B, Renshaw P F

机构信息

Brain Imaging Center, McLean Hospital, and Consolidated Department of Psychiatry, Harvard Medical School, Belmont, Massachusetts, USA.

出版信息

Magn Reson Med. 1999 Jan;41(1):187-92. doi: 10.1002/(sici)1522-2594(199901)41:1<187::aid-mrm26>3.0.co;2-r.

Abstract

An imaging sequence incorporating two complementary forms of water suppression was used in conjunction with conventional readout and phase-encoding gradients to acquire images of N-acetylaspartate (NAA) in human brain. The sequence consisted of CHESS water suppression pulses followed by dual echo sequence to select the imaging volume and frequency-selective refocusing pulses with asymmetric crushers to further reduce the water signal. Spectra and conventional spectroscopic images acquired with the sequence demonstrated robust suppression of water and other resonances down field from the 2.0-ppm NAA resonance with 98% of the brain signal resulting from the 3.0-ppm to 2.0-ppm region. The technique was found to provide NAA maps with a large (256 x 128) imaging matrix and to allow a flexible tradeoff between signal to noise ratio (SNR), matrix size, data acquisition window length, and imaging time. Since spectral information is not directly obtained, the length of the data acquisition window is not determined by the spectral resolution needed to resolve the components of the brain spectrum, allowing a significantly shorter readout period. The shorter acquisition window could potentially facilitate the acquisition of multi-echo or multi-slice brain NAA maps.

摘要

一种结合了两种互补形式水抑制的成像序列与传统的读出和相位编码梯度一起使用,以获取人脑N-乙酰天门冬氨酸(NAA)的图像。该序列由CHESS水抑制脉冲组成,随后是双回波序列以选择成像体积,以及带有非对称粉碎器的频率选择性重聚焦脉冲以进一步降低水信号。用该序列采集的光谱和传统光谱图像显示,在2.0 ppm NAA共振以下,水和其他共振得到了有力抑制,大脑信号的98%来自3.0 ppm至2.0 ppm区域。发现该技术能提供具有大(256×128)成像矩阵的NAA图,并允许在信噪比(SNR)、矩阵大小、数据采集窗口长度和成像时间之间进行灵活权衡。由于没有直接获得光谱信息,数据采集窗口的长度不由解析大脑光谱成分所需的光谱分辨率决定,从而允许显著缩短读出周期。较短的采集窗口可能有助于获取多回波或多层大脑NAA图。

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