Comparison of cardiac diffusion MRI using multiple prospective respiratory motion correction techniques.
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| Title: | Comparison of cardiac diffusion MRI using multiple prospective respiratory motion correction techniques. |
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| Authors: | Jermy, Stephen1,2 (AUTHOR) stephen.jermy@uct.ac.za, Hess, Aaron3 (AUTHOR), Ashkir, Zakariye4 (AUTHOR), Raman, Betty4 (AUTHOR), Burger, Ian1 (AUTHOR), Little, Francesca5 (AUTHOR), Ntusi, Ntobeko6,7 (AUTHOR), Meintjes, Ernesta1,2 (AUTHOR), Tunnicliffe, Elizabeth M.4 (AUTHOR) |
| Source: | Magnetic Resonance in Medicine. Jan2026, Vol. 95 Issue 1, p442-456. 15p. |
| Subjects: | Diffusion magnetic resonance imaging, Diffusion tensor imaging, Human research subjects |
| Abstract: | Purpose: A novel prospective motion correction control system with slice tracking (MNav‐CoS) was compared with three other prospective respiratory motion correction techniques in performing free‐breathing cardiovascular diffusion tensor imaging (cDTI) acquisitions. Methods: Ten healthy volunteers underwent cDTI using an M2SE sequence. The performance of the proposed MNav‐CoS was compared with three respiratory compensation techniques: multiple breath‐holds (BH), free breathing with respiratory gating (Gate), and free breathing with single navigator slice tracking (Nav). Data for five diffusion weightings were acquired in a single mid‐ventricular slice in end systole. MD, FA, and HA maps were calculated for each technique and combinations of low and high b‐values. Data from the respiratory navigators were used to estimate the total amount of cardiac through‐plane motion during free breathing. Results: The metrics derived from the diffusion tensor for MNav‐CoS with blow|bhigh = 50|450 s/mm2 were MD: 1.48±0.10μm⁄ms2$$ 1.48\pm 0.10\kern0.3em \upmu \mathrm{m}/{\mathrm{ms}}^2 $$, FA: 0.39±0.07$$ 0.39\pm 0.07 $$, and HAg: −0.82±0.22°⁄%$$ -0.82\pm {0.22}^{{}^{\circ}}/\% $$. All of the other respiratory compensation techniques produced a similar range of results to the MNav‐CoS technique. On average, the free‐breathing acquisitions with slice tracking were three times shorter than using BH. The total amount of cardiac through‐plane motion during the free‐breathing acquisitions ranged from 4 to 10 mm with an average of 6.2±1.7mm$$ 6.2\pm 1.7\kern0.3em \mathrm{mm} $$. Conclusion: The MNav‐CoS technique performed comparably to other commonly used respiratory compensation techniques. Prospective respiratory motion compensation, such as the slice tracking used with MNav‐CoS, is a useful tool that offers time‐saving benefits and compensates for through‐plane motion present during free breathing. These techniques may be beneficial for performing longer cDTI acquisitions providing increased utility in a clinical context. [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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 190791921 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Comparison of cardiac diffusion MRI using multiple prospective respiratory motion correction techniques. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jermy%2C+Stephen%22">Jermy, Stephen</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> stephen.jermy@uct.ac.za</i><br /><searchLink fieldCode="AR" term="%22Hess%2C+Aaron%22">Hess, Aaron</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ashkir%2C+Zakariye%22">Ashkir, Zakariye</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Raman%2C+Betty%22">Raman, Betty</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burger%2C+Ian%22">Burger, Ian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Little%2C+Francesca%22">Little, Francesca</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ntusi%2C+Ntobeko%22">Ntusi, Ntobeko</searchLink><relatesTo>6,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Meintjes%2C+Ernesta%22">Meintjes, Ernesta</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tunnicliffe%2C+Elizabeth+M%2E%22">Tunnicliffe, Elizabeth M.</searchLink><relatesTo>4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Jan2026, Vol. 95 Issue 1, p442-456. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Diffusion+magnetic+resonance+imaging%22">Diffusion magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Diffusion+tensor+imaging%22">Diffusion tensor imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Human+research+subjects%22">Human research subjects</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: A novel prospective motion correction control system with slice tracking (MNav‐CoS) was compared with three other prospective respiratory motion correction techniques in performing free‐breathing cardiovascular diffusion tensor imaging (cDTI) acquisitions. Methods: Ten healthy volunteers underwent cDTI using an M2SE sequence. The performance of the proposed MNav‐CoS was compared with three respiratory compensation techniques: multiple breath‐holds (BH), free breathing with respiratory gating (Gate), and free breathing with single navigator slice tracking (Nav). Data for five diffusion weightings were acquired in a single mid‐ventricular slice in end systole. MD, FA, and HA maps were calculated for each technique and combinations of low and high b‐values. Data from the respiratory navigators were used to estimate the total amount of cardiac through‐plane motion during free breathing. Results: The metrics derived from the diffusion tensor for MNav‐CoS with blow|bhigh = 50|450 s/mm2 were MD: 1.48±0.10μm⁄ms2$$ 1.48\pm 0.10\kern0.3em \upmu \mathrm{m}/{\mathrm{ms}}^2 $$, FA: 0.39±0.07$$ 0.39\pm 0.07 $$, and HAg: −0.82±0.22°⁄%$$ -0.82\pm {0.22}^{{}^{\circ}}/\% $$. All of the other respiratory compensation techniques produced a similar range of results to the MNav‐CoS technique. On average, the free‐breathing acquisitions with slice tracking were three times shorter than using BH. The total amount of cardiac through‐plane motion during the free‐breathing acquisitions ranged from 4 to 10 mm with an average of 6.2±1.7mm$$ 6.2\pm 1.7\kern0.3em \mathrm{mm} $$. Conclusion: The MNav‐CoS technique performed comparably to other commonly used respiratory compensation techniques. Prospective respiratory motion compensation, such as the slice tracking used with MNav‐CoS, is a useful tool that offers time‐saving benefits and compensates for through‐plane motion present during free breathing. These techniques may be beneficial for performing longer cDTI acquisitions providing increased utility in a clinical context. [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.70061 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 442 Subjects: – SubjectFull: Diffusion magnetic resonance imaging Type: general – SubjectFull: Diffusion tensor imaging Type: general – SubjectFull: Human research subjects Type: general Titles: – TitleFull: Comparison of cardiac diffusion MRI using multiple prospective respiratory motion correction techniques. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jermy, Stephen – PersonEntity: Name: NameFull: Hess, Aaron – PersonEntity: Name: NameFull: Ashkir, Zakariye – PersonEntity: Name: NameFull: Raman, Betty – PersonEntity: Name: NameFull: Burger, Ian – PersonEntity: Name: NameFull: Little, Francesca – PersonEntity: Name: NameFull: Ntusi, Ntobeko – PersonEntity: Name: NameFull: Meintjes, Ernesta – PersonEntity: Name: NameFull: Tunnicliffe, Elizabeth M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 07403194 Numbering: – Type: volume Value: 95 – Type: issue Value: 1 Titles: – TitleFull: Magnetic Resonance in Medicine Type: main |
| ResultId | 1 |