Diffusion in realistic biophysical systems can lead to aliasing effects in diffusion spectrum imaging.
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| Title: | Diffusion in realistic biophysical systems can lead to aliasing effects in diffusion spectrum imaging. |
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| Authors: | Lacerda, Luis M.1, Sperl, Jonathan I.2, Menzel, Marion I.2, Sprenger, Tim2, Barker, Gareth J.3, Dell'Acqua, Flavio1 flavio.dellacqua@kcl.ac.uk |
| Source: | Magnetic Resonance in Medicine. Dec2016, Vol. 76 Issue 6, p1837-1847. 11p. |
| Abstract: | Purpose Diffusion spectrum imaging (DSI) is an imaging technique that has been successfully applied to resolve white matter crossings in the human brain. However, its accuracy in complex microstructure environments has not been well characterized. Theory and Methods Here we have simulated different tissue configurations, sampling schemes, and processing steps to evaluate DSI performances' under realistic biophysical conditions. A novel approach to compute the orientation distribution function (ODF) has also been developed to include biophysical constraints, namely integration ranges compatible with axial fiber diffusivities. Results Performed simulations identified several DSI configurations that consistently show aliasing artifacts caused by fast diffusion components for both isotropic diffusion and fiber configurations. The proposed method for ODF computation showed some improvement in reducing such artifacts and improving the ability to resolve crossings, while keeping the quantitative nature of the ODF. Conclusion In this study, we identified an important limitation of current DSI implementations, specifically the presence of aliasing due to fast diffusion components like those from pathological tissues, which are not well characterized, and can lead to artifactual fiber reconstructions. To minimize this issue, a new way of computing the ODF was introduced, which removes most of these artifacts and offers improved angular resolution. Magn Reson Med 76:1837-1847, 2016. © 2015 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. [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: 119458938 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Diffusion in realistic biophysical systems can lead to aliasing effects in diffusion spectrum imaging. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lacerda%2C+Luis+M%2E%22">Lacerda, Luis M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sperl%2C+Jonathan+I%2E%22">Sperl, Jonathan I.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Menzel%2C+Marion+I%2E%22">Menzel, Marion I.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Sprenger%2C+Tim%22">Sprenger, Tim</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Barker%2C+Gareth+J%2E%22">Barker, Gareth J.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Dell'Acqua%2C+Flavio%22">Dell'Acqua, Flavio</searchLink><relatesTo>1</relatesTo><i> flavio.dellacqua@kcl.ac.uk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Dec2016, Vol. 76 Issue 6, p1837-1847. 11p. – Name: Abstract Label: Abstract Group: Ab Data: Purpose Diffusion spectrum imaging (DSI) is an imaging technique that has been successfully applied to resolve white matter crossings in the human brain. However, its accuracy in complex microstructure environments has not been well characterized. Theory and Methods Here we have simulated different tissue configurations, sampling schemes, and processing steps to evaluate DSI performances' under realistic biophysical conditions. A novel approach to compute the orientation distribution function (ODF) has also been developed to include biophysical constraints, namely integration ranges compatible with axial fiber diffusivities. Results Performed simulations identified several DSI configurations that consistently show aliasing artifacts caused by fast diffusion components for both isotropic diffusion and fiber configurations. The proposed method for ODF computation showed some improvement in reducing such artifacts and improving the ability to resolve crossings, while keeping the quantitative nature of the ODF. Conclusion In this study, we identified an important limitation of current DSI implementations, specifically the presence of aliasing due to fast diffusion components like those from pathological tissues, which are not well characterized, and can lead to artifactual fiber reconstructions. To minimize this issue, a new way of computing the ODF was introduced, which removes most of these artifacts and offers improved angular resolution. Magn Reson Med 76:1837-1847, 2016. © 2015 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. [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.26080 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1837 Titles: – TitleFull: Diffusion in realistic biophysical systems can lead to aliasing effects in diffusion spectrum imaging. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lacerda, Luis M. – PersonEntity: Name: NameFull: Sperl, Jonathan I. – PersonEntity: Name: NameFull: Menzel, Marion I. – PersonEntity: Name: NameFull: Sprenger, Tim – PersonEntity: Name: NameFull: Barker, Gareth J. – PersonEntity: Name: NameFull: Dell'Acqua, Flavio IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 07403194 Numbering: – Type: volume Value: 76 – Type: issue Value: 6 Titles: – TitleFull: Magnetic Resonance in Medicine Type: main |
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