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Excitation and geometrically matched local encoding of curved slices

Weber, Hans, Gallichan, Daniel, Schultz, Gerrit, Cocosco, Chris A., Littin, Sebastian, Reichardt, Wilfried, Welz, Anna, Witschey, Walter, Hennig, Jürgen and Zaitsev, Maxim 2013. Excitation and geometrically matched local encoding of curved slices. Magnetic Resonance in Medicine 69 (5) , pp. 1317-1325. 10.1002/mrm.24364

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Abstract

In this work, the concept of excitation and geometrically matched local in-plane encoding of curved slices (ExLoc) is introduced. ExLoc is based on a set of locally near-orthogonal spatial encoding magnetic fields, thus maintaining a local rectangular shape of the individual voxels and avoiding potential problems arising due to highly irregular voxel shapes. Unlike existing methods for exciting curved slices based on multidimensional radiofrequency-pulses, excitation and geometrically matched local encoding of curved slices does not require long duration or computationally expensive radiofrequency-pulses. As each encoding field consists of a superposition of potentially arbitrary (spatially linear or nonlinear) magnetic field components, the resulting field shape can be adapted with high flexibility to the specific region of interest. For extended nonplanar structures, this results in improved relevant volume coverage for fewer excited slices and thus increased efficiency. In addition to the mathematical description for the generation of dedicated encoding fields and data reconstruction, a verification of the ExLoc concept in phantom experiments and examples for in vivo curved single and multislice imaging are presented

Item Type: Article
Date Type: Publication
Status: Published
Schools: Cardiff University Brain Research Imaging Centre (CUBRIC)
Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords: MRI; curved slice; functional MRI; nonlinear encoding fields; spatial encoding; image reconstruction; PatLoc; ExLoc
Publisher: John Wiley & Sons
ISSN: 0740-3194
Date of Acceptance: 13 May 2012
Last Modified: 04 Jun 2017 09:42
URI: http://orca.cf.ac.uk/id/eprint/98399

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