| Literature DB >> 25771358 |
Dirk Oligschläger1, Sören Lehmkuhl2, Jan Watzlaw3, Stefan Benders2, Eva de Boever4, Christian Rehorn2, Manuel Vossel3, Uwe Schnakenberg3, Bernhard Blümich2.
Abstract
Nowadays most low-field NMR sensors, such as the single-sided Profile NMR-MOUSE®, still suffer from poor sensitivity, either resulting from low magnetic field strengths and correspondingly low NMR frequencies, or lack of sensitivity. Generally, micro-coils can improve sensitivity, but due to their small size, and thus small inductance, they are mainly used for high-field NMR. Their main application field is parallel imaging, where those coils are typically assembled to receive-only coil-arrays and increase the field-of-view. Prominent signal combination techniques such as GRAPPA and SENSE are used to combine the spatially independent NMR signals to images in order to increase acquisition speed. A decisive disadvantage of today's single-sided NMR probes is the limited accessibility for NMR imaging. Although it is possible to use flat gradient coils on top of the NMR-MOUSE® to apply imaging techniques, such images can only be recorded with very long acquisition times, excluding the NMR-MOUSE® for lateral imaging of time-dependent processes. In this study sensitivity improved micro-structured RF coils, optimized for low frequencies, and correspondingly arrays of these coils, were employed to improve sensitivity and gave access to lateral spatial resolution within the sensitive plane at several observation points at the same time. Recently developed three- and four-coil arrays were combined with a Profile NMR-MOUSE® and characterized in terms of coil coupling, noise correlation and signal combination. The three-coil array was used for lateral imaging of moisture transport in travertine rock samples and to study the one-dimensional drying of paint.Entities:
Keywords: Lateral imaging; Micro coil-arrays; Single-sided NMR
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Year: 2015 PMID: 25771358 DOI: 10.1016/j.jmr.2015.02.001
Source DB: PubMed Journal: J Magn Reson ISSN: 1090-7807 Impact factor: 2.229