Suppr超能文献

广义SMASH成像。

Generalized SMASH imaging.

作者信息

Bydder Mark, Larkman David J, Hajnal Joseph V

机构信息

Robert Steiner MR Unit, MRC Clinical Sciences Centre, Imperial College School of Medicine, Hammersmith Hospital, London, UK.

出版信息

Magn Reson Med. 2002 Jan;47(1):160-70. doi: 10.1002/mrm.10044.

Abstract

A generalized parallel imaging method has been developed that uses coil profiles to generate missing k-space lines. The proposed method is an extension of SMASH, which uses linear combinations of coil sensitivity profiles to synthesize spatial harmonics. In the generalized SMASH approach described here, coil sensitivity profiles are represented directly in the Fourier domain to provide a general description of the spatial properties of the coils. This removes restrictions imposed by conventional SMASH, so that the choice and position of the receiver coils can be made on the basis of sensitivity to the volume of interest rather than suitability for constructing spatial harmonics. Generalized SMASH also intrinsically allows the freedom to accommodate acquisitions with uniform or nonuniform k-space sampling. The proposed method places SMASH on an equal footing with other parallel imaging techniques (SENSE and SPACE-RIP), while combining strengths from each. The method was tested on phantom and human data and provides a robust method of data recovery.

摘要

已经开发出一种广义并行成像方法,该方法利用线圈轮廓来生成缺失的k空间线。所提出的方法是SMASH的扩展,SMASH使用线圈灵敏度轮廓的线性组合来合成空间谐波。在这里描述的广义SMASH方法中,线圈灵敏度轮廓直接在傅里叶域中表示,以提供对线圈空间特性的一般描述。这消除了传统SMASH所施加的限制,从而可以基于对感兴趣体积的灵敏度而不是构建空间谐波的适用性来选择接收线圈及其位置。广义SMASH还本质上允许自由适应均匀或非均匀k空间采样的采集。所提出的方法使SMASH与其他并行成像技术(SENSE和SPACE-RIP)处于同等地位,同时结合了每种技术的优势。该方法在体模和人体数据上进行了测试,并提供了一种强大的数据恢复方法。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验