Rosette spectroscopic imaging for whole-brain metabolite mapping at 7T: acceleration potential and reproducibility
Whole-brain proton magnetic resonance spectroscopic imaging (1H-MRSI) is a non-invasive technique for assessing neurochemical distribution in the brain, offering valuable insights into brain functions and neural diseases. It greatly benefits from the improved SNR at ultrahigh field strengths ($\geq$...
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creator | Huang, Zhiwei Emir, Uzay Doring, Andre Klauser, Antoine Xiao, Ying Widmaier, Mark Xin, Lijing |
description | Whole-brain proton magnetic resonance spectroscopic imaging (1H-MRSI) is a
non-invasive technique for assessing neurochemical distribution in the brain,
offering valuable insights into brain functions and neural diseases. It greatly
benefits from the improved SNR at ultrahigh field strengths ($\geq$7T).
However, 1H-MRSI still faces several challenges, such as long acquisition time
and severe signal contaminations from water and lipids. In this study, 2D and
3D short TR/TE 1H-FID-MRSI sequences using rosette trajectories were developed
with spatial resolutions of 4.48$\times$4.48 mm$^2$ and
4.48$\times$4.48$\times$4.50 mm$^3$, respectively. Water signals were
suppressed using an optimized
Five-variable-Angle-gaussian-pulses-with-ShorT-total-duration of 76 ms (FAST)
water suppression scheme, and lipid signals were removed using the L2
regularization method. Metabolic maps of major 1H metabolites were obtained
within 5:40 min with 16 averages and 1 average for the 2D and 3D acquisitions,
respectively. Excellent inter-session reproducibility was shown, with the
coefficients of variance (CV) being lower than 6% for N-Acetyle-L-aspartic acid
(NAA), Glutamate (Glu), Choline Chloride and glycerophosphocholine (tCho),
Creatine and Phosphocreatine (tCr), and Glycine and Myo-inositol (Gly+Ins). To
explore the potential of further accelerating the acquisition, compressed
sensing was applied retrospectively to the 3D datasets. The structural
similarity index (SSIM) remained above 0.85 and 0.8 until $R = 2$ and $R = 3$
for the metabolite maps of Glu, NAA, tCr, and tCho, indicating the possibility
for further reduction of acquisition time to around 2min. |
doi_str_mv | 10.48550/arxiv.2410.05245 |
format | Article |
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non-invasive technique for assessing neurochemical distribution in the brain,
offering valuable insights into brain functions and neural diseases. It greatly
benefits from the improved SNR at ultrahigh field strengths ($\geq$7T).
However, 1H-MRSI still faces several challenges, such as long acquisition time
and severe signal contaminations from water and lipids. In this study, 2D and
3D short TR/TE 1H-FID-MRSI sequences using rosette trajectories were developed
with spatial resolutions of 4.48$\times$4.48 mm$^2$ and
4.48$\times$4.48$\times$4.50 mm$^3$, respectively. Water signals were
suppressed using an optimized
Five-variable-Angle-gaussian-pulses-with-ShorT-total-duration of 76 ms (FAST)
water suppression scheme, and lipid signals were removed using the L2
regularization method. Metabolic maps of major 1H metabolites were obtained
within 5:40 min with 16 averages and 1 average for the 2D and 3D acquisitions,
respectively. Excellent inter-session reproducibility was shown, with the
coefficients of variance (CV) being lower than 6% for N-Acetyle-L-aspartic acid
(NAA), Glutamate (Glu), Choline Chloride and glycerophosphocholine (tCho),
Creatine and Phosphocreatine (tCr), and Glycine and Myo-inositol (Gly+Ins). To
explore the potential of further accelerating the acquisition, compressed
sensing was applied retrospectively to the 3D datasets. The structural
similarity index (SSIM) remained above 0.85 and 0.8 until $R = 2$ and $R = 3$
for the metabolite maps of Glu, NAA, tCr, and tCho, indicating the possibility
for further reduction of acquisition time to around 2min.</description><identifier>DOI: 10.48550/arxiv.2410.05245</identifier><language>eng</language><subject>Physics - Medical Physics</subject><creationdate>2024-10</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2410.05245$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2410.05245$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Huang, Zhiwei</creatorcontrib><creatorcontrib>Emir, Uzay</creatorcontrib><creatorcontrib>Doring, Andre</creatorcontrib><creatorcontrib>Klauser, Antoine</creatorcontrib><creatorcontrib>Xiao, Ying</creatorcontrib><creatorcontrib>Widmaier, Mark</creatorcontrib><creatorcontrib>Xin, Lijing</creatorcontrib><title>Rosette spectroscopic imaging for whole-brain metabolite mapping at 7T: acceleration potential and reproducibility</title><description>Whole-brain proton magnetic resonance spectroscopic imaging (1H-MRSI) is a
non-invasive technique for assessing neurochemical distribution in the brain,
offering valuable insights into brain functions and neural diseases. It greatly
benefits from the improved SNR at ultrahigh field strengths ($\geq$7T).
However, 1H-MRSI still faces several challenges, such as long acquisition time
and severe signal contaminations from water and lipids. In this study, 2D and
3D short TR/TE 1H-FID-MRSI sequences using rosette trajectories were developed
with spatial resolutions of 4.48$\times$4.48 mm$^2$ and
4.48$\times$4.48$\times$4.50 mm$^3$, respectively. Water signals were
suppressed using an optimized
Five-variable-Angle-gaussian-pulses-with-ShorT-total-duration of 76 ms (FAST)
water suppression scheme, and lipid signals were removed using the L2
regularization method. Metabolic maps of major 1H metabolites were obtained
within 5:40 min with 16 averages and 1 average for the 2D and 3D acquisitions,
respectively. Excellent inter-session reproducibility was shown, with the
coefficients of variance (CV) being lower than 6% for N-Acetyle-L-aspartic acid
(NAA), Glutamate (Glu), Choline Chloride and glycerophosphocholine (tCho),
Creatine and Phosphocreatine (tCr), and Glycine and Myo-inositol (Gly+Ins). To
explore the potential of further accelerating the acquisition, compressed
sensing was applied retrospectively to the 3D datasets. The structural
similarity index (SSIM) remained above 0.85 and 0.8 until $R = 2$ and $R = 3$
for the metabolite maps of Glu, NAA, tCr, and tCho, indicating the possibility
for further reduction of acquisition time to around 2min.</description><subject>Physics - Medical Physics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNqFjr0KwkAQhK-xEPUBrNwXiEZNUGxFsRb7sDnXuHC5PTbn39ubBHurgWE-5jNmukzn2TbP0wXqm5_zVdYWab7K8qHRszQUI0ETyEaVxkpgC1xjxb6Cmyi87uIoKRXZQ00RS3HcAjWG0E0wwuayA7SWHClGFg9BIvnI6AD9FZSCyvVhueSW_IzN4IauockvR2Z2PFz2p6S3K4K25_opOsuit1z_X3wBa-NKQA</recordid><startdate>20241007</startdate><enddate>20241007</enddate><creator>Huang, Zhiwei</creator><creator>Emir, Uzay</creator><creator>Doring, Andre</creator><creator>Klauser, Antoine</creator><creator>Xiao, Ying</creator><creator>Widmaier, Mark</creator><creator>Xin, Lijing</creator><scope>GOX</scope></search><sort><creationdate>20241007</creationdate><title>Rosette spectroscopic imaging for whole-brain metabolite mapping at 7T: acceleration potential and reproducibility</title><author>Huang, Zhiwei ; Emir, Uzay ; Doring, Andre ; Klauser, Antoine ; Xiao, Ying ; Widmaier, Mark ; Xin, Lijing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_2410_052453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Physics - Medical Physics</topic><toplevel>online_resources</toplevel><creatorcontrib>Huang, Zhiwei</creatorcontrib><creatorcontrib>Emir, Uzay</creatorcontrib><creatorcontrib>Doring, Andre</creatorcontrib><creatorcontrib>Klauser, Antoine</creatorcontrib><creatorcontrib>Xiao, Ying</creatorcontrib><creatorcontrib>Widmaier, Mark</creatorcontrib><creatorcontrib>Xin, Lijing</creatorcontrib><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Huang, Zhiwei</au><au>Emir, Uzay</au><au>Doring, Andre</au><au>Klauser, Antoine</au><au>Xiao, Ying</au><au>Widmaier, Mark</au><au>Xin, Lijing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rosette spectroscopic imaging for whole-brain metabolite mapping at 7T: acceleration potential and reproducibility</atitle><date>2024-10-07</date><risdate>2024</risdate><abstract>Whole-brain proton magnetic resonance spectroscopic imaging (1H-MRSI) is a
non-invasive technique for assessing neurochemical distribution in the brain,
offering valuable insights into brain functions and neural diseases. It greatly
benefits from the improved SNR at ultrahigh field strengths ($\geq$7T).
However, 1H-MRSI still faces several challenges, such as long acquisition time
and severe signal contaminations from water and lipids. In this study, 2D and
3D short TR/TE 1H-FID-MRSI sequences using rosette trajectories were developed
with spatial resolutions of 4.48$\times$4.48 mm$^2$ and
4.48$\times$4.48$\times$4.50 mm$^3$, respectively. Water signals were
suppressed using an optimized
Five-variable-Angle-gaussian-pulses-with-ShorT-total-duration of 76 ms (FAST)
water suppression scheme, and lipid signals were removed using the L2
regularization method. Metabolic maps of major 1H metabolites were obtained
within 5:40 min with 16 averages and 1 average for the 2D and 3D acquisitions,
respectively. Excellent inter-session reproducibility was shown, with the
coefficients of variance (CV) being lower than 6% for N-Acetyle-L-aspartic acid
(NAA), Glutamate (Glu), Choline Chloride and glycerophosphocholine (tCho),
Creatine and Phosphocreatine (tCr), and Glycine and Myo-inositol (Gly+Ins). To
explore the potential of further accelerating the acquisition, compressed
sensing was applied retrospectively to the 3D datasets. The structural
similarity index (SSIM) remained above 0.85 and 0.8 until $R = 2$ and $R = 3$
for the metabolite maps of Glu, NAA, tCr, and tCho, indicating the possibility
for further reduction of acquisition time to around 2min.</abstract><doi>10.48550/arxiv.2410.05245</doi><oa>free_for_read</oa></addata></record> |
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subjects | Physics - Medical Physics |
title | Rosette spectroscopic imaging for whole-brain metabolite mapping at 7T: acceleration potential and reproducibility |
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