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Density‐weighted concentric circle trajectories for high resolution brain magnetic resonance spectroscopic imaging at 7T

PURPOSE: Full‐slice magnetic resonance spectroscopic imaging at [Formula: see text] T is especially vulnerable to lipid contaminations arising from regions close to the skull. This contamination can be mitigated by improving the point spread function via higher spatial resolution sampling and k‐spac...

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Autores principales: Hingerl, Lukas, Bogner, Wolfgang, Moser, Philipp, Považan, Michal, Hangel, Gilbert, Heckova, Eva, Gruber, Stephan, Trattnig, Siegfried, Strasser, Bernhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5873433/
https://www.ncbi.nlm.nih.gov/pubmed/29106742
http://dx.doi.org/10.1002/mrm.26987
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author Hingerl, Lukas
Bogner, Wolfgang
Moser, Philipp
Považan, Michal
Hangel, Gilbert
Heckova, Eva
Gruber, Stephan
Trattnig, Siegfried
Strasser, Bernhard
author_facet Hingerl, Lukas
Bogner, Wolfgang
Moser, Philipp
Považan, Michal
Hangel, Gilbert
Heckova, Eva
Gruber, Stephan
Trattnig, Siegfried
Strasser, Bernhard
author_sort Hingerl, Lukas
collection PubMed
description PURPOSE: Full‐slice magnetic resonance spectroscopic imaging at [Formula: see text] T is especially vulnerable to lipid contaminations arising from regions close to the skull. This contamination can be mitigated by improving the point spread function via higher spatial resolution sampling and k‐space filtering, but this prolongs scan times and reduces the signal‐to‐noise ratio (SNR) efficiency. Currently applied parallel imaging methods accelerate magnetic resonance spectroscopic imaging scans at 7T, but increase lipid artifacts and lower SNR‐efficiency further. In this study, we propose an SNR‐efficient spatial‐spectral sampling scheme using concentric circle echo planar trajectories (CONCEPT), which was adapted to intrinsically acquire a Hamming‐weighted k‐space, thus termed density‐weighted‐CONCEPT. This minimizes voxel bleeding, while preserving an optimal SNR. THEORY AND METHODS: Trajectories were theoretically derived and verified in phantoms as well as in the human brain via measurements of five volunteers (single‐slice, field‐of‐view 220 × 220 mm(2), matrix 64 × 64, scan time 6 min) with free induction decay magnetic resonance spectroscopic imaging. Density‐weighted‐CONCEPT was compared to (a) the originally proposed CONCEPT with equidistant circles (here termed e‐CONCEPT), (b) elliptical phase‐encoding, and (c) 5‐fold Controlled Aliasing In Parallel Imaging Results IN Higher Acceleration accelerated elliptical phase‐encoding. RESULTS: By intrinsically sampling a Hamming‐weighted k‐space, density‐weighted‐CONCEPT removed Gibbs‐ringing artifacts and had in vivo +9.5%, +24.4%, and +39.7% higher SNR than e‐CONCEPT, elliptical phase‐encoding, and the Controlled Aliasing In Parallel Imaging Results IN Higher Acceleration accelerated elliptical phase‐encoding (all P < 0.05), respectively, which lead to improved metabolic maps. CONCLUSION: Density‐weighted‐CONCEPT provides clinically attractive full‐slice high‐resolution magnetic resonance spectroscopic imaging with optimal SNR at 7T. Magn Reson Med 79:2874–2885, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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spelling pubmed-58734332018-03-31 Density‐weighted concentric circle trajectories for high resolution brain magnetic resonance spectroscopic imaging at 7T Hingerl, Lukas Bogner, Wolfgang Moser, Philipp Považan, Michal Hangel, Gilbert Heckova, Eva Gruber, Stephan Trattnig, Siegfried Strasser, Bernhard Magn Reson Med Full Papers—Spectroscopic Methodology PURPOSE: Full‐slice magnetic resonance spectroscopic imaging at [Formula: see text] T is especially vulnerable to lipid contaminations arising from regions close to the skull. This contamination can be mitigated by improving the point spread function via higher spatial resolution sampling and k‐space filtering, but this prolongs scan times and reduces the signal‐to‐noise ratio (SNR) efficiency. Currently applied parallel imaging methods accelerate magnetic resonance spectroscopic imaging scans at 7T, but increase lipid artifacts and lower SNR‐efficiency further. In this study, we propose an SNR‐efficient spatial‐spectral sampling scheme using concentric circle echo planar trajectories (CONCEPT), which was adapted to intrinsically acquire a Hamming‐weighted k‐space, thus termed density‐weighted‐CONCEPT. This minimizes voxel bleeding, while preserving an optimal SNR. THEORY AND METHODS: Trajectories were theoretically derived and verified in phantoms as well as in the human brain via measurements of five volunteers (single‐slice, field‐of‐view 220 × 220 mm(2), matrix 64 × 64, scan time 6 min) with free induction decay magnetic resonance spectroscopic imaging. Density‐weighted‐CONCEPT was compared to (a) the originally proposed CONCEPT with equidistant circles (here termed e‐CONCEPT), (b) elliptical phase‐encoding, and (c) 5‐fold Controlled Aliasing In Parallel Imaging Results IN Higher Acceleration accelerated elliptical phase‐encoding. RESULTS: By intrinsically sampling a Hamming‐weighted k‐space, density‐weighted‐CONCEPT removed Gibbs‐ringing artifacts and had in vivo +9.5%, +24.4%, and +39.7% higher SNR than e‐CONCEPT, elliptical phase‐encoding, and the Controlled Aliasing In Parallel Imaging Results IN Higher Acceleration accelerated elliptical phase‐encoding (all P < 0.05), respectively, which lead to improved metabolic maps. CONCLUSION: Density‐weighted‐CONCEPT provides clinically attractive full‐slice high‐resolution magnetic resonance spectroscopic imaging with optimal SNR at 7T. Magn Reson Med 79:2874–2885, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. John Wiley and Sons Inc. 2017-11-06 2018-06 /pmc/articles/PMC5873433/ /pubmed/29106742 http://dx.doi.org/10.1002/mrm.26987 Text en © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Full Papers—Spectroscopic Methodology
Hingerl, Lukas
Bogner, Wolfgang
Moser, Philipp
Považan, Michal
Hangel, Gilbert
Heckova, Eva
Gruber, Stephan
Trattnig, Siegfried
Strasser, Bernhard
Density‐weighted concentric circle trajectories for high resolution brain magnetic resonance spectroscopic imaging at 7T
title Density‐weighted concentric circle trajectories for high resolution brain magnetic resonance spectroscopic imaging at 7T
title_full Density‐weighted concentric circle trajectories for high resolution brain magnetic resonance spectroscopic imaging at 7T
title_fullStr Density‐weighted concentric circle trajectories for high resolution brain magnetic resonance spectroscopic imaging at 7T
title_full_unstemmed Density‐weighted concentric circle trajectories for high resolution brain magnetic resonance spectroscopic imaging at 7T
title_short Density‐weighted concentric circle trajectories for high resolution brain magnetic resonance spectroscopic imaging at 7T
title_sort density‐weighted concentric circle trajectories for high resolution brain magnetic resonance spectroscopic imaging at 7t
topic Full Papers—Spectroscopic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5873433/
https://www.ncbi.nlm.nih.gov/pubmed/29106742
http://dx.doi.org/10.1002/mrm.26987
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