MoCo + ROVir: Synergy Between Respiratory Motion Compensation and Cardiac Receive Region Focusing for Cardiac MRI.
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| Title: | MoCo + ROVir: Synergy Between Respiratory Motion Compensation and Cardiac Receive Region Focusing for Cardiac MRI. |
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| Authors: | Hu, Zheyuan1,2 (AUTHOR), Lee, Hsu‐Lei3 (AUTHOR), Cao, Tianle1,2 (AUTHOR), Yoshida, Takegawa1 (AUTHOR), Ma, Lingceng1 (AUTHOR), Finn, J. Paul1,4 (AUTHOR), Nguyen, Kim‐Lien1,2,4,5 (AUTHOR), Christodoulou, Anthony G.1,2,4 (AUTHOR) achristodoulou@mednet.ucla.edu |
| Source: | Magnetic Resonance in Medicine. Jun2026, Vol. 95 Issue 6, p3227-3240. 14p. |
| Subjects: | Cardiac magnetic resonance imaging, Motion compensation (Signal processing), Cardiac imaging, Image reconstruction, Congenital heart disease |
| Abstract: | Purpose: To improve cardiac motion representation and reduce artifacts for cardiac‐ and respiratory‐resolved imaging through a synergistic combination of retrospective cardiac phased array RF focusing and rigid respiratory motion compensation (MoCo). Methods: We incorporated cardiac receive focusing using region‐optimized virtual coils (ROVir) and MoCo into cardiac‐ and respiratory‐resolved low‐rank tensor (LRT) reconstruction, hypothesizing that the combination of MoCo + ROVir would prioritize the LRT representation of cardiac motion over respiratory motion. We compared LRT, MoCo‐LRT, ROVir‐LRT, and the proposed MoCo + ROVir‐LRT reconstructions of retrospective data from N = 24 pediatric patients with congenital heart disease (CHD) scanned at 3.0 T using ROCK‐MUSIC. Technical evaluation metrics included the proportion of cardiac‐to‐respiratory motion energy in self‐gating lines, cardiac motion priority in the temporal basis, flickering energy, and edge sharpness in end‐expiratory cardiac cine. Reconstructed cardiac cines were scored by two expert image readers. Results: MoCo + ROVir significantly increased the proportion of cardiac‐to‐respiratory motion energy in self‐gating lines (p < 0.001) and prioritized cardiac motion in the temporal basis (p < 0.001). MoCo + ROVir reduced flickering energy in cardiac cine images (p < 0.001), sharpened the liver–lung interface (p < 0.001), and improved flickering‐specific scores (p = 0.001). Myocardium–blood pool interface sharpness (p = 0.831), cardiac‐specific image scores (p = 0.188), and vascular‐specific scores (p = 0.901) were not significantly different. Together, these two techniques allowed 3.7–5.2× faster reconstruction times versus LRT‐only. Conclusion: The synergy of MoCo + ROVir successfully prioritized cardiac motion, suppressed respiratory motion, and reduced flickering artifacts, with an added benefit of accelerating reconstruction times. The improved respiratory motion handling may provide an avenue for free‐breathing cardiac scans in pediatric patients with CHD. [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: 192765719 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: MoCo + ROVir: Synergy Between Respiratory Motion Compensation and Cardiac Receive Region Focusing for Cardiac MRI. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hu%2C+Zheyuan%22">Hu, Zheyuan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee%2C+Hsu‐Lei%22">Lee, Hsu‐Lei</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cao%2C+Tianle%22">Cao, Tianle</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yoshida%2C+Takegawa%22">Yoshida, Takegawa</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+Lingceng%22">Ma, Lingceng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Finn%2C+J%2E+Paul%22">Finn, J. Paul</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nguyen%2C+Kim‐Lien%22">Nguyen, Kim‐Lien</searchLink><relatesTo>1,2,4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Christodoulou%2C+Anthony+G%2E%22">Christodoulou, Anthony G.</searchLink><relatesTo>1,2,4</relatesTo> (AUTHOR)<i> achristodoulou@mednet.ucla.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Jun2026, Vol. 95 Issue 6, p3227-3240. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cardiac+magnetic+resonance+imaging%22">Cardiac magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Motion+compensation+%28Signal+processing%29%22">Motion compensation (Signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Cardiac+imaging%22">Cardiac imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Image+reconstruction%22">Image reconstruction</searchLink><br /><searchLink fieldCode="DE" term="%22Congenital+heart+disease%22">Congenital heart disease</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: To improve cardiac motion representation and reduce artifacts for cardiac‐ and respiratory‐resolved imaging through a synergistic combination of retrospective cardiac phased array RF focusing and rigid respiratory motion compensation (MoCo). Methods: We incorporated cardiac receive focusing using region‐optimized virtual coils (ROVir) and MoCo into cardiac‐ and respiratory‐resolved low‐rank tensor (LRT) reconstruction, hypothesizing that the combination of MoCo + ROVir would prioritize the LRT representation of cardiac motion over respiratory motion. We compared LRT, MoCo‐LRT, ROVir‐LRT, and the proposed MoCo + ROVir‐LRT reconstructions of retrospective data from N = 24 pediatric patients with congenital heart disease (CHD) scanned at 3.0 T using ROCK‐MUSIC. Technical evaluation metrics included the proportion of cardiac‐to‐respiratory motion energy in self‐gating lines, cardiac motion priority in the temporal basis, flickering energy, and edge sharpness in end‐expiratory cardiac cine. Reconstructed cardiac cines were scored by two expert image readers. Results: MoCo + ROVir significantly increased the proportion of cardiac‐to‐respiratory motion energy in self‐gating lines (p < 0.001) and prioritized cardiac motion in the temporal basis (p < 0.001). MoCo + ROVir reduced flickering energy in cardiac cine images (p < 0.001), sharpened the liver–lung interface (p < 0.001), and improved flickering‐specific scores (p = 0.001). Myocardium–blood pool interface sharpness (p = 0.831), cardiac‐specific image scores (p = 0.188), and vascular‐specific scores (p = 0.901) were not significantly different. Together, these two techniques allowed 3.7–5.2× faster reconstruction times versus LRT‐only. Conclusion: The synergy of MoCo + ROVir successfully prioritized cardiac motion, suppressed respiratory motion, and reduced flickering artifacts, with an added benefit of accelerating reconstruction times. The improved respiratory motion handling may provide an avenue for free‐breathing cardiac scans in pediatric patients with CHD. [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.70280 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 3227 Subjects: – SubjectFull: Cardiac magnetic resonance imaging Type: general – SubjectFull: Motion compensation (Signal processing) Type: general – SubjectFull: Cardiac imaging Type: general – SubjectFull: Image reconstruction Type: general – SubjectFull: Congenital heart disease Type: general Titles: – TitleFull: MoCo + ROVir: Synergy Between Respiratory Motion Compensation and Cardiac Receive Region Focusing for Cardiac MRI. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hu, Zheyuan – PersonEntity: Name: NameFull: Lee, Hsu‐Lei – PersonEntity: Name: NameFull: Cao, Tianle – PersonEntity: Name: NameFull: Yoshida, Takegawa – PersonEntity: Name: NameFull: Ma, Lingceng – PersonEntity: Name: NameFull: Finn, J. Paul – PersonEntity: Name: NameFull: Nguyen, Kim‐Lien – PersonEntity: Name: NameFull: Christodoulou, Anthony G. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 07403194 Numbering: – Type: volume Value: 95 – Type: issue Value: 6 Titles: – TitleFull: Magnetic Resonance in Medicine Type: main |
| ResultId | 1 |
