Prospective acceleration of whole‐brain CEST imaging by golden‐angle view ordering in Cartesian coordinates and joint k‐space and image‐space parallel imaging (KIPI).
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| Title: | Prospective acceleration of whole‐brain CEST imaging by golden‐angle view ordering in Cartesian coordinates and joint k‐space and image‐space parallel imaging (KIPI). |
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| Authors: | Zu, Tao1 (AUTHOR), Yong, Xingwang1 (AUTHOR), Dai, Zhechuan1 (AUTHOR), Jiang, Tongling1 (AUTHOR), Hsu, Yi‐Cheng2 (AUTHOR), Lu, Shanshan3 (AUTHOR), Zhang, Yi1 (AUTHOR) yizhangzju@zju.edu.cn |
| Source: | Magnetic Resonance in Medicine. Apr2025, Vol. 93 Issue 4, p1585-1601. 17p. |
| Subjects: | Cartesian coordinates, Magnetization transfer, In vivo studies, Scanning systems, Protons |
| Abstract: | Purpose: To prospectively accelerate whole‐brain CEST acquisition by joint k‐space and image‐space parallel imaging (KIPI) with a proposed golden‐angle view ordering technique (GAVOT) in Cartesian coordinates. Theory and Methods: The T2‐decay effect will vary across frames with variable acceleration factors (AF) in the prospective acquisition using sequences with long echo trains. The GAVOT method uses a subset strategy to eliminate the T2‐decay inconsistency, where all frames use a subset of shots from the calibration frame to form their k‐space view ordering. The golden‐angle rule is adapted to ensure uniform k‐space coverage for arbitrary AFs in Cartesian coordinates. Phantom and in vivo studies were conducted on a 3 T scanner. Results: The GAVOT view ordering yielded a higher g‐factor than conventional uniformly centric ordering, whereas the noise propagation in amide proton transfer (APT) weighted images was similar between different view ordering. Compared to centric ordering, GAVOT successfully eliminated the T2‐decay inconsistency across all frames, resulting in fewer image artifacts for both KIPI and conventional parallel imaging methods. The synergy of GAVOT and KIPI mitigated strong aliasing artifacts and achieved high‐quality reconstruction of prospective variable‐AF datasets. GAVOT‐KIPI reduced the scan time to 2.1 min for whole‐brain APT weighted imaging and 4.7 min for quantitative APT signal (APT#) mapping. Conclusion: GAVOT makes the prospective variable AF strategy flexible and practical, and, in conjunction with KIPI, ensures high‐quality reconstruction from highly undersampled data, facilitating the clinical translation of whole‐brain CEST imaging. [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: 183917280 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Prospective acceleration of whole‐brain CEST imaging by golden‐angle view ordering in Cartesian coordinates and joint k‐space and image‐space parallel imaging (KIPI). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zu%2C+Tao%22">Zu, Tao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yong%2C+Xingwang%22">Yong, Xingwang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dai%2C+Zhechuan%22">Dai, Zhechuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Tongling%22">Jiang, Tongling</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hsu%2C+Yi‐Cheng%22">Hsu, Yi‐Cheng</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Shanshan%22">Lu, Shanshan</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yi%22">Zhang, Yi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yizhangzju@zju.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Apr2025, Vol. 93 Issue 4, p1585-1601. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cartesian+coordinates%22">Cartesian coordinates</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetization+transfer%22">Magnetization transfer</searchLink><br /><searchLink fieldCode="DE" term="%22In+vivo+studies%22">In vivo studies</searchLink><br /><searchLink fieldCode="DE" term="%22Scanning+systems%22">Scanning systems</searchLink><br /><searchLink fieldCode="DE" term="%22Protons%22">Protons</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: To prospectively accelerate whole‐brain CEST acquisition by joint k‐space and image‐space parallel imaging (KIPI) with a proposed golden‐angle view ordering technique (GAVOT) in Cartesian coordinates. Theory and Methods: The T2‐decay effect will vary across frames with variable acceleration factors (AF) in the prospective acquisition using sequences with long echo trains. The GAVOT method uses a subset strategy to eliminate the T2‐decay inconsistency, where all frames use a subset of shots from the calibration frame to form their k‐space view ordering. The golden‐angle rule is adapted to ensure uniform k‐space coverage for arbitrary AFs in Cartesian coordinates. Phantom and in vivo studies were conducted on a 3 T scanner. Results: The GAVOT view ordering yielded a higher g‐factor than conventional uniformly centric ordering, whereas the noise propagation in amide proton transfer (APT) weighted images was similar between different view ordering. Compared to centric ordering, GAVOT successfully eliminated the T2‐decay inconsistency across all frames, resulting in fewer image artifacts for both KIPI and conventional parallel imaging methods. The synergy of GAVOT and KIPI mitigated strong aliasing artifacts and achieved high‐quality reconstruction of prospective variable‐AF datasets. GAVOT‐KIPI reduced the scan time to 2.1 min for whole‐brain APT weighted imaging and 4.7 min for quantitative APT signal (APT#) mapping. Conclusion: GAVOT makes the prospective variable AF strategy flexible and practical, and, in conjunction with KIPI, ensures high‐quality reconstruction from highly undersampled data, facilitating the clinical translation of whole‐brain CEST imaging. [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.30375 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1585 Subjects: – SubjectFull: Cartesian coordinates Type: general – SubjectFull: Magnetization transfer Type: general – SubjectFull: In vivo studies Type: general – SubjectFull: Scanning systems Type: general – SubjectFull: Protons Type: general Titles: – TitleFull: Prospective acceleration of whole‐brain CEST imaging by golden‐angle view ordering in Cartesian coordinates and joint k‐space and image‐space parallel imaging (KIPI). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zu, Tao – PersonEntity: Name: NameFull: Yong, Xingwang – PersonEntity: Name: NameFull: Dai, Zhechuan – PersonEntity: Name: NameFull: Jiang, Tongling – PersonEntity: Name: NameFull: Hsu, Yi‐Cheng – PersonEntity: Name: NameFull: Lu, Shanshan – PersonEntity: Name: NameFull: Zhang, Yi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 07403194 Numbering: – Type: volume Value: 93 – Type: issue Value: 4 Titles: – TitleFull: Magnetic Resonance in Medicine Type: main |
| ResultId | 1 |
