Feasibility of transient nuclear Overhauser effect imaging in brain at 7 T
Purpose The nuclear Overhauser effect (NOE) quantification from the steady‐state NOE imaging suffers from multiple confounding non‐NOE‐specific sources, including direct saturation, magnetization transfer, and relevant chemical exchange species, and is affected by B0 and B1+ inhomogeneities. The B0‐...
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Veröffentlicht in: | Magnetic resonance in medicine 2023-04, Vol.89 (4), p.1357-1367 |
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creator | Kumar, Dushyant Benyard, Blake Soni, Narayan Datt Swain, Anshuman Wilson, Neil Reddy, Ravinder |
description | Purpose
The nuclear Overhauser effect (NOE) quantification from the steady‐state NOE imaging suffers from multiple confounding non‐NOE‐specific sources, including direct saturation, magnetization transfer, and relevant chemical exchange species, and is affected by B0 and B1+ inhomogeneities. The B0‐dependent and B1+‐dependent data needed for deconvolving these confounding effects would increase the scan time substantially, leading to other issues such as patient tolerability. Here, we demonstrate the feasibility of brain lipid mapping using an easily implementable transient NOE (tNOE) approach.
Methods
This 7T study used a frequency‐selective inversion pulse at a range of frequency offsets between 1.0 and 5.0 parts per million (ppm) and −5.0 and −1.0 ppm relative to bulk water peak. This was followed by a fixed/variable mixing time and then a single‐shot 2D turbo FLASH readout. The feasibility of tNOE measurements is demonstrated on bovine serum albumin phantoms and healthy human brains.
Results
The tNOE measurements from bovine serum albumin phantoms were found to be independent of physiological pH variations. Both bovine serum albumin phantoms and human brains showed broad tNOE contributions centered at approximately −3.5 ppm relative to water peak, with presumably aliphatic moieties in lipids and proteins being the dominant contributors. Less prominent tNOE contributions of approximately +2.5 ppm relative to water, presumably from aromatic moieties, were also detected. These aromatic signals were free from any CEST signals.
Conclusion
In this study, we have demonstrated the feasibility of tNOE in human brain at 7 T. This method is more scan‐time efficient than steady‐state NOE and provides NOE measurement with minimal confounders. |
doi_str_mv | 10.1002/mrm.29519 |
format | Article |
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The nuclear Overhauser effect (NOE) quantification from the steady‐state NOE imaging suffers from multiple confounding non‐NOE‐specific sources, including direct saturation, magnetization transfer, and relevant chemical exchange species, and is affected by B0 and B1+ inhomogeneities. The B0‐dependent and B1+‐dependent data needed for deconvolving these confounding effects would increase the scan time substantially, leading to other issues such as patient tolerability. Here, we demonstrate the feasibility of brain lipid mapping using an easily implementable transient NOE (tNOE) approach.
Methods
This 7T study used a frequency‐selective inversion pulse at a range of frequency offsets between 1.0 and 5.0 parts per million (ppm) and −5.0 and −1.0 ppm relative to bulk water peak. This was followed by a fixed/variable mixing time and then a single‐shot 2D turbo FLASH readout. The feasibility of tNOE measurements is demonstrated on bovine serum albumin phantoms and healthy human brains.
Results
The tNOE measurements from bovine serum albumin phantoms were found to be independent of physiological pH variations. Both bovine serum albumin phantoms and human brains showed broad tNOE contributions centered at approximately −3.5 ppm relative to water peak, with presumably aliphatic moieties in lipids and proteins being the dominant contributors. Less prominent tNOE contributions of approximately +2.5 ppm relative to water, presumably from aromatic moieties, were also detected. These aromatic signals were free from any CEST signals.
Conclusion
In this study, we have demonstrated the feasibility of tNOE in human brain at 7 T. This method is more scan‐time efficient than steady‐state NOE and provides NOE measurement with minimal confounders.</description><identifier>ISSN: 0740-3194</identifier><identifier>EISSN: 1522-2594</identifier><identifier>DOI: 10.1002/mrm.29519</identifier><identifier>PMID: 36372994</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Algorithms ; Bovine serum albumin ; Brain ; Brain - diagnostic imaging ; Brain - metabolism ; Brain mapping ; Cattle ; Feasibility ; Feasibility Studies ; Humans ; lipid imaging ; Lipids ; Magnetic Resonance Imaging - methods ; myelin imaging ; Neuroimaging ; NOE ; nuclear Overhauser effect ; Overhauser effect ; Phantoms, Imaging ; selective inversion recovery ; Sensitivity and Specificity ; Serum albumin ; Serum Albumin, Bovine ; transient nuclear Overhauser effect ; Water - metabolism</subject><ispartof>Magnetic resonance in medicine, 2023-04, Vol.89 (4), p.1357-1367</ispartof><rights>2022 International Society for Magnetic Resonance in Medicine.</rights><rights>2023 International Society for Magnetic Resonance in Medicine</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2509-94c5f4201e869903f89a5db1dc3db27442bdd21da1d05cb3f3b7925d9d31f2723</citedby><cites>FETCH-LOGICAL-c2509-94c5f4201e869903f89a5db1dc3db27442bdd21da1d05cb3f3b7925d9d31f2723</cites><orcidid>0000-0002-2480-4164 ; 0000-0001-6436-7299 ; 0000-0002-1617-6399</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fmrm.29519$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fmrm.29519$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36372994$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kumar, Dushyant</creatorcontrib><creatorcontrib>Benyard, Blake</creatorcontrib><creatorcontrib>Soni, Narayan Datt</creatorcontrib><creatorcontrib>Swain, Anshuman</creatorcontrib><creatorcontrib>Wilson, Neil</creatorcontrib><creatorcontrib>Reddy, Ravinder</creatorcontrib><title>Feasibility of transient nuclear Overhauser effect imaging in brain at 7 T</title><title>Magnetic resonance in medicine</title><addtitle>Magn Reson Med</addtitle><description>Purpose
The nuclear Overhauser effect (NOE) quantification from the steady‐state NOE imaging suffers from multiple confounding non‐NOE‐specific sources, including direct saturation, magnetization transfer, and relevant chemical exchange species, and is affected by B0 and B1+ inhomogeneities. The B0‐dependent and B1+‐dependent data needed for deconvolving these confounding effects would increase the scan time substantially, leading to other issues such as patient tolerability. Here, we demonstrate the feasibility of brain lipid mapping using an easily implementable transient NOE (tNOE) approach.
Methods
This 7T study used a frequency‐selective inversion pulse at a range of frequency offsets between 1.0 and 5.0 parts per million (ppm) and −5.0 and −1.0 ppm relative to bulk water peak. This was followed by a fixed/variable mixing time and then a single‐shot 2D turbo FLASH readout. The feasibility of tNOE measurements is demonstrated on bovine serum albumin phantoms and healthy human brains.
Results
The tNOE measurements from bovine serum albumin phantoms were found to be independent of physiological pH variations. Both bovine serum albumin phantoms and human brains showed broad tNOE contributions centered at approximately −3.5 ppm relative to water peak, with presumably aliphatic moieties in lipids and proteins being the dominant contributors. Less prominent tNOE contributions of approximately +2.5 ppm relative to water, presumably from aromatic moieties, were also detected. These aromatic signals were free from any CEST signals.
Conclusion
In this study, we have demonstrated the feasibility of tNOE in human brain at 7 T. This method is more scan‐time efficient than steady‐state NOE and provides NOE measurement with minimal confounders.</description><subject>Algorithms</subject><subject>Bovine serum albumin</subject><subject>Brain</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - metabolism</subject><subject>Brain mapping</subject><subject>Cattle</subject><subject>Feasibility</subject><subject>Feasibility Studies</subject><subject>Humans</subject><subject>lipid imaging</subject><subject>Lipids</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>myelin imaging</subject><subject>Neuroimaging</subject><subject>NOE</subject><subject>nuclear Overhauser effect</subject><subject>Overhauser effect</subject><subject>Phantoms, Imaging</subject><subject>selective inversion recovery</subject><subject>Sensitivity and Specificity</subject><subject>Serum albumin</subject><subject>Serum Albumin, Bovine</subject><subject>transient nuclear Overhauser effect</subject><subject>Water - metabolism</subject><issn>0740-3194</issn><issn>1522-2594</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kMtKAzEUQIMotlYX_oAEXLmYNs-mWUqxPmgpSF2HZJLUlHnUZEbp3zs66s7NvZvDuZcDwCVGY4wQmZSxHBPJsTwCQ8wJyQiX7BgMkWAoo1iyAThLaYcQklKwUzCgUyqIlGwInhZOp2BCEZoDrD1soq5ScFUDqzYvnI5w_e7iq26Ti9B57_IGhlJvQ7WFoYIm6m7qBgq4OQcnXhfJXfzsEXhZ3G3mD9lyff84v11mOeFIZpLl3DOCsJtNpUTUz6Tm1mCbU2uIYIwYawm2GlvEc0M9NUISbqWl2BNB6Ahc9959rN9alxq1q9tYdScVEQLxGadT1lE3PZXHOqXovNrH7vF4UBipr2qqq6a-q3Xs1Y-xNaWzf-Rvpg6Y9MBHKNzhf5NaPa965SfuVnVQ</recordid><startdate>202304</startdate><enddate>202304</enddate><creator>Kumar, Dushyant</creator><creator>Benyard, Blake</creator><creator>Soni, Narayan Datt</creator><creator>Swain, Anshuman</creator><creator>Wilson, Neil</creator><creator>Reddy, Ravinder</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>M7Z</scope><scope>P64</scope><orcidid>https://orcid.org/0000-0002-2480-4164</orcidid><orcidid>https://orcid.org/0000-0001-6436-7299</orcidid><orcidid>https://orcid.org/0000-0002-1617-6399</orcidid></search><sort><creationdate>202304</creationdate><title>Feasibility of transient nuclear Overhauser effect imaging in brain at 7 T</title><author>Kumar, Dushyant ; Benyard, Blake ; Soni, Narayan Datt ; Swain, Anshuman ; Wilson, Neil ; Reddy, Ravinder</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2509-94c5f4201e869903f89a5db1dc3db27442bdd21da1d05cb3f3b7925d9d31f2723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Bovine serum albumin</topic><topic>Brain</topic><topic>Brain - diagnostic imaging</topic><topic>Brain - metabolism</topic><topic>Brain mapping</topic><topic>Cattle</topic><topic>Feasibility</topic><topic>Feasibility Studies</topic><topic>Humans</topic><topic>lipid imaging</topic><topic>Lipids</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>myelin imaging</topic><topic>Neuroimaging</topic><topic>NOE</topic><topic>nuclear Overhauser effect</topic><topic>Overhauser effect</topic><topic>Phantoms, Imaging</topic><topic>selective inversion recovery</topic><topic>Sensitivity and Specificity</topic><topic>Serum albumin</topic><topic>Serum Albumin, Bovine</topic><topic>transient nuclear Overhauser effect</topic><topic>Water - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kumar, Dushyant</creatorcontrib><creatorcontrib>Benyard, Blake</creatorcontrib><creatorcontrib>Soni, Narayan Datt</creatorcontrib><creatorcontrib>Swain, Anshuman</creatorcontrib><creatorcontrib>Wilson, Neil</creatorcontrib><creatorcontrib>Reddy, Ravinder</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biochemistry Abstracts 1</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Magnetic resonance in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kumar, Dushyant</au><au>Benyard, Blake</au><au>Soni, Narayan Datt</au><au>Swain, Anshuman</au><au>Wilson, Neil</au><au>Reddy, Ravinder</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Feasibility of transient nuclear Overhauser effect imaging in brain at 7 T</atitle><jtitle>Magnetic resonance in medicine</jtitle><addtitle>Magn Reson Med</addtitle><date>2023-04</date><risdate>2023</risdate><volume>89</volume><issue>4</issue><spage>1357</spage><epage>1367</epage><pages>1357-1367</pages><issn>0740-3194</issn><eissn>1522-2594</eissn><abstract>Purpose
The nuclear Overhauser effect (NOE) quantification from the steady‐state NOE imaging suffers from multiple confounding non‐NOE‐specific sources, including direct saturation, magnetization transfer, and relevant chemical exchange species, and is affected by B0 and B1+ inhomogeneities. The B0‐dependent and B1+‐dependent data needed for deconvolving these confounding effects would increase the scan time substantially, leading to other issues such as patient tolerability. Here, we demonstrate the feasibility of brain lipid mapping using an easily implementable transient NOE (tNOE) approach.
Methods
This 7T study used a frequency‐selective inversion pulse at a range of frequency offsets between 1.0 and 5.0 parts per million (ppm) and −5.0 and −1.0 ppm relative to bulk water peak. This was followed by a fixed/variable mixing time and then a single‐shot 2D turbo FLASH readout. The feasibility of tNOE measurements is demonstrated on bovine serum albumin phantoms and healthy human brains.
Results
The tNOE measurements from bovine serum albumin phantoms were found to be independent of physiological pH variations. Both bovine serum albumin phantoms and human brains showed broad tNOE contributions centered at approximately −3.5 ppm relative to water peak, with presumably aliphatic moieties in lipids and proteins being the dominant contributors. Less prominent tNOE contributions of approximately +2.5 ppm relative to water, presumably from aromatic moieties, were also detected. These aromatic signals were free from any CEST signals.
Conclusion
In this study, we have demonstrated the feasibility of tNOE in human brain at 7 T. This method is more scan‐time efficient than steady‐state NOE and provides NOE measurement with minimal confounders.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>36372994</pmid><doi>10.1002/mrm.29519</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-2480-4164</orcidid><orcidid>https://orcid.org/0000-0001-6436-7299</orcidid><orcidid>https://orcid.org/0000-0002-1617-6399</orcidid></addata></record> |
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subjects | Algorithms Bovine serum albumin Brain Brain - diagnostic imaging Brain - metabolism Brain mapping Cattle Feasibility Feasibility Studies Humans lipid imaging Lipids Magnetic Resonance Imaging - methods myelin imaging Neuroimaging NOE nuclear Overhauser effect Overhauser effect Phantoms, Imaging selective inversion recovery Sensitivity and Specificity Serum albumin Serum Albumin, Bovine transient nuclear Overhauser effect Water - metabolism |
title | Feasibility of transient nuclear Overhauser effect imaging in brain at 7 T |
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