3D 31P MRSI of the human brain at 9.4 Tesla: Optimization and quantitative analysis of metabolic images

Loreen Ruhm; Johanna Dorst; Nikolai Avdievitch; Andrew Martin Wright; Anke Henning

doi:10.1002/mrm.28891

3D ³¹P MRSI of the human brain at 9.4 Tesla: Optimization and quantitative analysis of metabolic images

Loreen Ruhm, Johanna Dorst, Nikolai Avdievitch, Andrew Martin Wright, Anke Henning

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Purpose: To present ³¹P whole brain MRSI with a high spatial resolution to probe quantitative tissue analysis of ³¹P MRSI at an ultrahigh field strength of 9.4 Tesla. Methods: The study protocol included a ³¹P MRSI measurement with an effective resolution of 2.47 mL. For SNR optimization, the nuclear Overhauser enhancement at 9.4 Tesla was investigated. A sensitivity correction was achieved by applying a low rank approximation of the γ-adenosine triphosphate signal. Group analysis and regression on individual volunteers were performed to investigate quantitative concentration differences between different tissue types. Results: Differences in gray and white matter tissue ³¹P concentrations could be investigated for 12 different ³¹P resonances. In addition, the first highly resolved quantitative MRSI images measured at B₀ = 9.4 Tesla of ³¹P detectable metabolites with high SNR could be presented. Conclusion: With an ultrahigh field strength B₀ = 9.4 Tesla, ³¹P MRSI moves further toward quantitative metabolic imaging, and subtle differences in concentrations between different tissue types can be detected.

Original language	English (US)
Pages (from-to)	2368-2383
Number of pages	16
Journal	Magnetic resonance in medicine
Volume	86
Issue number	5
DOIs	https://doi.org/10.1002/mrm.28891
State	Published - Nov 2021

Keywords

9.4 T
MRSI
Phosphorus
chemical shift imaging
quantitative metabolic images
ultrahigh field

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

Access to Document

10.1002/mrm.28891

Cite this

@article{56edcdddfdc546beb77fc7ff346bbed0,

title = "3D 31P MRSI of the human brain at 9.4 Tesla: Optimization and quantitative analysis of metabolic images",

abstract = "Purpose: To present 31P whole brain MRSI with a high spatial resolution to probe quantitative tissue analysis of 31P MRSI at an ultrahigh field strength of 9.4 Tesla. Methods: The study protocol included a 31P MRSI measurement with an effective resolution of 2.47 mL. For SNR optimization, the nuclear Overhauser enhancement at 9.4 Tesla was investigated. A sensitivity correction was achieved by applying a low rank approximation of the γ-adenosine triphosphate signal. Group analysis and regression on individual volunteers were performed to investigate quantitative concentration differences between different tissue types. Results: Differences in gray and white matter tissue 31P concentrations could be investigated for 12 different 31P resonances. In addition, the first highly resolved quantitative MRSI images measured at B0 = 9.4 Tesla of 31P detectable metabolites with high SNR could be presented. Conclusion: With an ultrahigh field strength B0 = 9.4 Tesla, 31P MRSI moves further toward quantitative metabolic imaging, and subtle differences in concentrations between different tissue types can be detected.",

keywords = "9.4 T, MRSI, Phosphorus, chemical shift imaging, quantitative metabolic images, ultrahigh field",

author = "Loreen Ruhm and Johanna Dorst and Nikolai Avdievitch and Wright, {Andrew Martin} and Anke Henning",

note = "Funding Information: Funding by the European Research Council Starting Grant (SYNAPLAST MR, grant number: 679927) of the European Union and the Cancer Prevention and Research Institute of Texas (CPRIT, grant number: RR180056) is gratefully acknowledged. The authors also want to acknowledge Dr. Christian Mirkes for providing a predecessor version of the P MRSI sequence, Dr. Jonas Bause for providing the MP2RAGE sequence and Dr. Rolf Pohmann for measuring the T relaxation times. Open access funding enabled and organized by ProjektDEAL. 31 1 Funding Information: Funding provided by the European Research Council (ERC) Starting Grant, SYNAPLAST MR, grant number 679927 of the European Union; and the Cancer Prevention and Research Institute of Texas (CPRIT), grant number RR180056. Publisher Copyright: {\textcopyright} 2021 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine",

year = "2021",

month = nov,

doi = "10.1002/mrm.28891",

language = "English (US)",

volume = "86",

pages = "2368--2383",

journal = "Magnetic resonance in medicine",

issn = "0740-3194",

publisher = "John Wiley and Sons Inc.",

number = "5",

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T1 - 3D 31P MRSI of the human brain at 9.4 Tesla

T2 - Optimization and quantitative analysis of metabolic images

AU - Ruhm, Loreen

AU - Dorst, Johanna

AU - Avdievitch, Nikolai

AU - Wright, Andrew Martin

AU - Henning, Anke

N1 - Funding Information: Funding by the European Research Council Starting Grant (SYNAPLAST MR, grant number: 679927) of the European Union and the Cancer Prevention and Research Institute of Texas (CPRIT, grant number: RR180056) is gratefully acknowledged. The authors also want to acknowledge Dr. Christian Mirkes for providing a predecessor version of the P MRSI sequence, Dr. Jonas Bause for providing the MP2RAGE sequence and Dr. Rolf Pohmann for measuring the T relaxation times. Open access funding enabled and organized by ProjektDEAL. 31 1 Funding Information: Funding provided by the European Research Council (ERC) Starting Grant, SYNAPLAST MR, grant number 679927 of the European Union; and the Cancer Prevention and Research Institute of Texas (CPRIT), grant number RR180056. Publisher Copyright: © 2021 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine

PY - 2021/11

Y1 - 2021/11

N2 - Purpose: To present 31P whole brain MRSI with a high spatial resolution to probe quantitative tissue analysis of 31P MRSI at an ultrahigh field strength of 9.4 Tesla. Methods: The study protocol included a 31P MRSI measurement with an effective resolution of 2.47 mL. For SNR optimization, the nuclear Overhauser enhancement at 9.4 Tesla was investigated. A sensitivity correction was achieved by applying a low rank approximation of the γ-adenosine triphosphate signal. Group analysis and regression on individual volunteers were performed to investigate quantitative concentration differences between different tissue types. Results: Differences in gray and white matter tissue 31P concentrations could be investigated for 12 different 31P resonances. In addition, the first highly resolved quantitative MRSI images measured at B0 = 9.4 Tesla of 31P detectable metabolites with high SNR could be presented. Conclusion: With an ultrahigh field strength B0 = 9.4 Tesla, 31P MRSI moves further toward quantitative metabolic imaging, and subtle differences in concentrations between different tissue types can be detected.

AB - Purpose: To present 31P whole brain MRSI with a high spatial resolution to probe quantitative tissue analysis of 31P MRSI at an ultrahigh field strength of 9.4 Tesla. Methods: The study protocol included a 31P MRSI measurement with an effective resolution of 2.47 mL. For SNR optimization, the nuclear Overhauser enhancement at 9.4 Tesla was investigated. A sensitivity correction was achieved by applying a low rank approximation of the γ-adenosine triphosphate signal. Group analysis and regression on individual volunteers were performed to investigate quantitative concentration differences between different tissue types. Results: Differences in gray and white matter tissue 31P concentrations could be investigated for 12 different 31P resonances. In addition, the first highly resolved quantitative MRSI images measured at B0 = 9.4 Tesla of 31P detectable metabolites with high SNR could be presented. Conclusion: With an ultrahigh field strength B0 = 9.4 Tesla, 31P MRSI moves further toward quantitative metabolic imaging, and subtle differences in concentrations between different tissue types can be detected.

KW - 9.4 T

KW - MRSI

KW - Phosphorus

KW - chemical shift imaging

KW - quantitative metabolic images

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