Coil compression in simultaneous multislice functional MRI with concentric ring slice-GRAPPA and SENSE.

Coil compression in simultaneous multislice functional MRI with concentric ring slice-GRAPPA and SENSE.
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DOI:
10.1002/mrm.26032
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发表时间:
2016-10
影响因子:
3.3
通讯作者:
Noll DC
Noll DC
中科院分区:
医学3区
文献类型:
--
作者:
Chu A;Noll DC

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同步多层 (SMS) 成像是加速功能磁共振成像的有效方法。随着加速变得更加激进,需要越来越多的接收线圈来分离切片,这显着增加了计算负担。我们提出了一种线圈压缩方法,该方法适用于同心环非笛卡尔 SMS 成像,并且也应适用于笛卡尔 SMS。我们在几个受试者的功能磁共振成像扫描上评估该方法,并将其与标准线圈压缩方法进行比较。所提出的方法使用切片分离k空间内核将线圈数据同时压缩成一组虚拟线圈。使用非 SMS fMRI 和 SMS fMRI 扫描 5 名受试者,同时进行 3 个切片。 SMS fMRI 扫描使用所提出的方法以及其他传统方法进行处理。代码可在 https://github.com/alcu/sms 获取。与标准 SMS 线圈压缩方法相比,所提出的方法用更少数量的虚拟线圈来维持功能激活。非SMS fMRI 的压缩以比所提出的方法略少的虚拟线圈数量维持激活,但不具有SMS fMRI 的加速优势。所提出的方法是压缩和重建同心环 SMS 数据的实用方法,并且比功能磁共振成像中的标准线圈压缩方法更好地保留了功能激活。
Simultaneous multislice (SMS) imaging is a useful way to accelerate fMRI. As acceleration becomes more aggressive, an increasingly larger number of receive coils are required to separate the slices, which significantly increases the computational burden. We propose a coil compression method that works with concentric ring non-Cartesian SMS imaging and should work with Cartesian SMS as well. We evaluate the method on fMRI scans of several subjects and compare it to standard coil compression methods. The proposed method uses a slice-separation k-space kernel to simultaneously compress coil data into a set of virtual coils. Five subjects were scanned using both non-SMS fMRI and SMS fMRI with 3 simultaneous slices. The SMS fMRI scans were processed using the proposed method, along with other conventional methods. Code is available at https://github.com/alcu/sms. The proposed method maintained functional activation with a fewer number of virtual coils than standard SMS coil compression methods. Compression of non-SMS fMRI maintained activation with a slightly lower number of virtual coils than the proposed method, but does not have the acceleration advantages of SMS fMRI. The proposed method is a practical way to compress and reconstruct concentric ring SMS data and improves the preservation of functional activation over standard coil compression methods in fMRI.