Interleaved diffusion-weighted improved by adaptive partial-Fourier and multiband multiplexed sensitivity-encoding reconstruction.
Interleaved diffusion-weighted improved by adaptive partial-Fourier and multiband multiplexed sensitivity-encoding reconstruction.
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DOI：
10.1002/mrm.25318
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发表时间：
2015-05
影响因子：
3.3
通讯作者：
Chen, Nan-kuei
中科院分区：
文献类型：
--
作者：
Chang, Hing-Chiu;Guhaniyogi, Shayan;Chen, Nan-kuei
关键词：
我们报告了一系列技术来可靠地消除基于交错回波平面成像(EPI)的扩散加权成像(DWI)中的伪影。首先，我们将以前报道的多路敏感编码(MUSE)算法与一种新的自适应零差部分傅立叶重建算法相结合，使得从交织的部分傅立叶DWI数据重建的图像即使在a)运动引起的k空间能量峰值位移或b)磁化率梯度引起的快速相变的情况下也没有伪影。其次，我们将已报道的单波段MUSE框架推广到多波段MUSE，从而有效地消除了多波段多激发交织DWI数据中的穿面和面内混叠伪影。新的自适应零差-缪斯重建算法可靠地产生高质量和高分辨率的DWI，消除了以前报道的方法重建的图像中的残留伪影。此外，推广的MUSE算法与多频段和高通量的DWI兼容。多波段和自适应零差补偿算法的结合显著提高了交织DWI的空间分辨率、图像质量和扫描吞吐量。我们期望报道的重建框架将在神经科学研究和临床应用的高分辨率弥散加权成像方面发挥重要作用。
We report a series of techniques to reliably eliminate artifacts in interleaved echo-planar imaging (EPI) based diffusion weighted imaging (DWI). First, we integrate the previously reported multiplexed sensitivity encoding (MUSE) algorithm with a new adaptive Homodyne partial-Fourier reconstruction algorithm, so that images reconstructed from interleaved partial-Fourier DWI data are free from artifacts even in the presence of either a) motion-induced k-space energy peak displacement, or b) susceptibility field gradient induced fast phase changes. Second, we generalize the previously reported single-band MUSE framework to multi-band MUSE, so that both through-plane and in-plane aliasing artifacts in multi-band multi-shot interleaved DWI data can be effectively eliminated. The new adaptive Homodyne-MUSE reconstruction algorithm reliably produces high-quality and high-resolution DWI, eliminating residual artifacts in images reconstructed with previously reported methods. Furthermore, the generalized MUSE algorithm is compatible with multi-band and high-throughput DWI. The integration of the multi-band and adaptive Homodyne-MUSE algorithms significantly improves the spatial-resolution, image quality, and scan throughput of interleaved DWI. We expect that the reported reconstruction framework will play an important role in enabling high-resolution DWI for both neuroscience research and clinical uses.
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影响因子：
3.3
作者：
Chen, Nan-Kuei;Avram, Alexandru V.;Song, Allen W.
通讯作者：
Song, Allen W.
影响因子：
3.3
作者：
Miller, KL;Pauly, JM
通讯作者：
Pauly, JM
影响因子：
5.7
作者：
Chen, Nan-kuei;Guidon, Arnaud;Chang, Hing-Chiu;Song, Allen W.
通讯作者：
Song, Allen W.
影响因子：
3.3
作者：
Jeong, Ha-Kyu;Gore, John C.;Anderson, Adam W.
通讯作者：
Anderson, Adam W.
影响因子：
3.7
作者：
Feinberg DA;Moeller S;Smith SM;Auerbach E;Ramanna S;Gunther M;Glasser MF;Miller KL;Ugurbil K;Yacoub E
通讯作者：
Yacoub E