Resolution enhancement, noise suppression, and joint T2* decay estimation in dual‐echo sodium‐23 MR imaging using anatomically guided reconstruction.
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| Title: | Resolution enhancement, noise suppression, and joint T2* decay estimation in dual‐echo sodium‐23 MR imaging using anatomically guided reconstruction. |
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| Authors: | Schramm, Georg1,2 (AUTHOR) georg.schramm@kuleuven.be, Filipovic, Marina2 (AUTHOR), Qian, Yongxian3 (AUTHOR), Alivar, Alaleh3 (AUTHOR), Lui, Yvonne W.3 (AUTHOR), Nuyts, Johan2 (AUTHOR), Boada, Fernando1 (AUTHOR) |
| Source: | Magnetic Resonance in Medicine. Apr2024, Vol. 91 Issue 4, p1404-1418. 15p. |
| Subjects: | Magnetic resonance imaging, Gray matter (Nerve tissue), High resolution imaging, Brain stem, White matter (Nerve tissue) |
| Abstract: | Purpose: Sodium MRI is challenging because of the low tissue concentration of the 23Na nucleus and its extremely fast biexponential transverse relaxation rate. In this article, we present an iterative reconstruction framework using dual‐echo 23Na data and exploiting anatomical prior information (AGR) from high‐resolution, low‐noise, 1H MR images. This framework enables the estimation and modeling of the spatially varying signal decay due to transverse relaxation during readout (AGRdm), which leads to images of better resolution and reduced noise resulting in improved quantification of the reconstructed 23Na images. Methods: The proposed framework was evaluated using reconstructions of 30 noise realizations of realistic simulations of dual echo twisted projection imaging (TPI) 23Na data. Moreover, three dual echo 23Na TPI brain datasets of healthy controls acquired on a 3T Siemens Prisma system were reconstructed using conventional reconstruction, AGR and AGRdm. Results: Our simulations show that compared to conventional reconstructions, AGR and AGRdm show improved bias‐noise characteristics in several regions of the brain. Moreover, AGR and AGRdm images show more anatomical detail and less noise in the reconstructions of the experimental data sets. Compared to AGR and the conventional reconstruction, AGRdm shows higher contrast in the sodium concentration ratio between gray and white matter and between gray matter and the brain stem. Conclusion: AGR and AGRdm generate 23Na images with high resolution, high levels of anatomical detail, and low levels of noise, potentially enabling high‐quality 23Na MR imaging at 3T. [ABSTRACT FROM AUTHOR] |
| Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 175196976 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Resolution enhancement, noise suppression, and joint T2* decay estimation in dual‐echo sodium‐23 MR imaging using anatomically guided reconstruction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Schramm%2C+Georg%22">Schramm, Georg</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> georg.schramm@kuleuven.be</i><br /><searchLink fieldCode="AR" term="%22Filipovic%2C+Marina%22">Filipovic, Marina</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qian%2C+Yongxian%22">Qian, Yongxian</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Alivar%2C+Alaleh%22">Alivar, Alaleh</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lui%2C+Yvonne+W%2E%22">Lui, Yvonne W.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nuyts%2C+Johan%22">Nuyts, Johan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Boada%2C+Fernando%22">Boada, Fernando</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Apr2024, Vol. 91 Issue 4, p1404-1418. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Gray+matter+%28Nerve+tissue%29%22">Gray matter (Nerve tissue)</searchLink><br /><searchLink fieldCode="DE" term="%22High+resolution+imaging%22">High resolution imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+stem%22">Brain stem</searchLink><br /><searchLink fieldCode="DE" term="%22White+matter+%28Nerve+tissue%29%22">White matter (Nerve tissue)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: Sodium MRI is challenging because of the low tissue concentration of the 23Na nucleus and its extremely fast biexponential transverse relaxation rate. In this article, we present an iterative reconstruction framework using dual‐echo 23Na data and exploiting anatomical prior information (AGR) from high‐resolution, low‐noise, 1H MR images. This framework enables the estimation and modeling of the spatially varying signal decay due to transverse relaxation during readout (AGRdm), which leads to images of better resolution and reduced noise resulting in improved quantification of the reconstructed 23Na images. Methods: The proposed framework was evaluated using reconstructions of 30 noise realizations of realistic simulations of dual echo twisted projection imaging (TPI) 23Na data. Moreover, three dual echo 23Na TPI brain datasets of healthy controls acquired on a 3T Siemens Prisma system were reconstructed using conventional reconstruction, AGR and AGRdm. Results: Our simulations show that compared to conventional reconstructions, AGR and AGRdm show improved bias‐noise characteristics in several regions of the brain. Moreover, AGR and AGRdm images show more anatomical detail and less noise in the reconstructions of the experimental data sets. Compared to AGR and the conventional reconstruction, AGRdm shows higher contrast in the sodium concentration ratio between gray and white matter and between gray matter and the brain stem. Conclusion: AGR and AGRdm generate 23Na images with high resolution, high levels of anatomical detail, and low levels of noise, potentially enabling high‐quality 23Na MR imaging at 3T. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/mrm.29936 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1404 Subjects: – SubjectFull: Magnetic resonance imaging Type: general – SubjectFull: Gray matter (Nerve tissue) Type: general – SubjectFull: High resolution imaging Type: general – SubjectFull: Brain stem Type: general – SubjectFull: White matter (Nerve tissue) Type: general Titles: – TitleFull: Resolution enhancement, noise suppression, and joint T2* decay estimation in dual‐echo sodium‐23 MR imaging using anatomically guided reconstruction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Schramm, Georg – PersonEntity: Name: NameFull: Filipovic, Marina – PersonEntity: Name: NameFull: Qian, Yongxian – PersonEntity: Name: NameFull: Alivar, Alaleh – PersonEntity: Name: NameFull: Lui, Yvonne W. – PersonEntity: Name: NameFull: Nuyts, Johan – PersonEntity: Name: NameFull: Boada, Fernando IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 07403194 Numbering: – Type: volume Value: 91 – Type: issue Value: 4 Titles: – TitleFull: Magnetic Resonance in Medicine Type: main |
| ResultId | 1 |