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采用敏感度编码(SENSE)对人乳水中水共振结构进行的 echo-planar 波谱成像(EPSI)。

Echo-planar spectroscopic imaging (EPSI) of the water resonance structure in human breast using sensitivity encoding (SENSE).

机构信息

Department of Radiology, University of Chicago, Chicago, Illinois 60637, USA.

出版信息

Magn Reson Med. 2010 Jun;63(6):1557-63. doi: 10.1002/mrm.22332.

Abstract

High spectral and spatial resolution MRI, based on echo-planar spectroscopic imaging, has been applied successfully in diagnostic breast imaging, but acquisition times are long. One way of increasing acquisition speed is to apply the sensitivity encoding algorithm for complex high spectral and spatial resolution data. We demonstrate application of a complex sensitivity encoding algorithm to high spectral and spatial resolution MRI data, in a phantom and human breast, with 7- and 16-channel dedicated breast phased-array coils. Very low g factors are obtained using the breast coils, and the signal-to-noise ratio (SNR) penalty for water resonance peak height and water resonance asymmetry images is small at acceleration factors of up to 6 and 4, respectively, as evidenced by high Pearson correlation factors between fully sampled and accelerated data. This is the first application of the sensitivity encoding algorithm to characterize the structure of the water resonance at high spatial resolution.

摘要

基于回波平面波谱成像的高光谱和空间分辨率 MRI 已成功应用于诊断性乳腺成像,但采集时间较长。提高采集速度的一种方法是应用复杂的高光谱和空间分辨率数据的灵敏度编码算法。我们在一个体模和人体乳房中演示了复杂灵敏度编码算法在 7 通道和 16 通道专用乳腺相控阵线圈的高光谱和空间分辨率 MRI 数据中的应用。使用乳腺线圈获得了非常低的 g 因子,并且在高达 6 和 4 的加速因子下,水共振峰高和水共振不对称图像的信噪比(SNR)损失很小,这可以通过全采样和加速数据之间的高 Pearson 相关系数证明。这是灵敏度编码算法首次应用于高空间分辨率下水共振结构的特征描述。

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