Literature DB >> 30575119

Size-adaptable "Trellis" structure for tailored MRI coil arrays.

Bei Zhang1,2, Ryan Brown1,2,3, Martijn Cloos1,2,3,4, Riccardo Lattanzi1,2,3, Daniel Sodickson1,2,3,4, Graham Wiggins.   

Abstract

PURPOSE: We present a novel, geometrically adjustable, receive coil array whose diameter can be tailored to the subject in order to maximize sensitivity for a range of body sizes. THEORY AND METHODS: A key mechanical feature of the size-adaptable receive array is its trellis structure that was motivated by similar structures found in gardening and fencing. Our implementation is a cylindrical trellis that features encircling, diagonally interleaved slats, which are linked together at intersecting points. The ensemble allows expansion or contraction to be controlled with the angle between the slats. This mechanical frame provides a base for radiofrequency coils wherein approximately constant overlap, and therefore coupling between adjacent elements, is maintained when the trellis is expanded or contracted. We demonstrate 2 trellis coil concepts for imaging lower extremity at 3T: a single-row 8-channel array built on a trellis support structure and a multirow 24-channel array in which the coil elements themselves form the trellis structure.
RESULTS: We show that the adjustable trellis array can accommodate a range of subject sizes with robust signal-to-noise ratio, loading, and coupling.
CONCLUSION: The trellis coil concept enables an array of surface coils to expand and contract with negligible effect on tuning, matching, and decoupling. This allows an encircling array to conform closely to anatomy of various sizes, which provides significant gains in signal-to-noise ratio.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  coupling; phased-array; preamplifier noise; stretchable; trellis

Year:  2018        PMID: 30575119      PMCID: PMC6484426          DOI: 10.1002/mrm.27637

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


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