View in EDS

Enhancing cardiac MRI reliability at 3 T using motion‐adaptive B0 shimming.

Saved in:
Bibliographic Details
Title: Enhancing cardiac MRI reliability at 3 T using motion‐adaptive B0 shimming.
Authors: Huang, Yuheng1,2,3 (AUTHOR), Malagi, Archana Vadiraj1 (AUTHOR), Li, Xinqi1 (AUTHOR), Guan, Xingmin2 (AUTHOR), Yang, Chia‐Chi1 (AUTHOR), Huang, Li‐Ting1 (AUTHOR), Long, Ziyang1,3,4 (AUTHOR), Zepeda, Jeremy1 (AUTHOR), Zhang, Xinheng1 (AUTHOR), Yoosefian, Ghazal2 (AUTHOR), Bi, Xioaming5 (AUTHOR), Gao, Chang5 (AUTHOR), Shang, Yun4 (AUTHOR), Binesh, Nader6 (AUTHOR), Lee, Hsu‐Lei1 (AUTHOR), Li, Debiao1,3 (AUTHOR), Dharmakumar, Rohan2 (AUTHOR), Han, Hui4 (AUTHOR), Yang, Hsin‐Jung R.1 (AUTHOR) hsin-jung.yang@cshs.org
Source: Magnetic Resonance in Medicine. Jan2026, Vol. 95 Issue 1, p112-124. 13p.
Subjects: Cardiac magnetic resonance imaging, Magnetic resonance imaging, Magnetic flux density, Magnetic susceptibility, Deep learning
Abstract: Purpose: Magnetic susceptibility differences at the heart–lung interface introduce B0‐field inhomogeneities that challenge cardiac MRI at high field strengths (≥ 3 T). Although hardware‐based shimming has advanced, conventional approaches often neglect dynamic variations in thoracic anatomy caused by cardiac and respiratory motion, leading to residual off‐resonance artifacts. This study aims to characterize motion‐induced B0‐field fluctuations in the heart and evaluate a deep learning–enabled motion‐adaptive B0 shimming pipeline to mitigate them. Methods: A motion‐resolved B0 mapping sequence was implemented at 3 T to quantify cardiac and respiratory‐induced B0 variations. A motion‐adaptive shimming framework was then developed and validated through numerical simulations and human imaging studies. B0‐field homogeneity and T2* mapping accuracy were assessed in multiple breath‐hold positions using standard and motion‐adaptive shimming. Results: Respiratory motion significantly altered myocardial B0 fields (p < 0.01), whereas cardiac motion had minimal impact (p = 0.49). Compared with conventional scanner shimming, motion‐adaptive B0 shimming yielded significantly improved field uniformity across both inspiratory (post‐shim SDratio: 0.68 ± 0.10 vs. 0.89 ± 0.11; p < 0.05) and expiratory (0.65 ± 0.16 vs. 0.84 ± 0.20; p < 0.05) breath‐hold states. Corresponding improvements in myocardial T2* map homogeneity were observed, with reduced coefficient of variation (0.44 ± 0.19 vs. 0.39 ± 0.22; 0.59 ± 0.30 vs. 0.46 ± 0.21; both p < 0.01). Conclusion: The proposed motion‐adaptive B0 shimming approach effectively compensates for respiration‐induced B0 fluctuations, enhancing field homogeneity and reducing off‐resonance artifacts. This strategy improves the robustness and reproducibility of T2* mapping, enabling more reliable high‐field cardiac MRI. [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
Header DbId: egs
DbLabel: Engineering Source
An: 190791877
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Enhancing cardiac MRI reliability at 3 T using motion‐adaptive B&lt;subscript&gt;0&lt;/subscript&gt; shimming.
– Name: Author
  Label: Authors
  Group: Au
  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Huang%2C+Yuheng%22&quot;&gt;Huang, Yuheng&lt;/searchLink&gt;&lt;relatesTo&gt;1,2,3&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Malagi%2C+Archana+Vadiraj%22&quot;&gt;Malagi, Archana Vadiraj&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Li%2C+Xinqi%22&quot;&gt;Li, Xinqi&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Guan%2C+Xingmin%22&quot;&gt;Guan, Xingmin&lt;/searchLink&gt;&lt;relatesTo&gt;2&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Yang%2C+Chia‐Chi%22&quot;&gt;Yang, Chia‐Chi&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Huang%2C+Li‐Ting%22&quot;&gt;Huang, Li‐Ting&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Long%2C+Ziyang%22&quot;&gt;Long, Ziyang&lt;/searchLink&gt;&lt;relatesTo&gt;1,3,4&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Zepeda%2C+Jeremy%22&quot;&gt;Zepeda, Jeremy&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Zhang%2C+Xinheng%22&quot;&gt;Zhang, Xinheng&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Yoosefian%2C+Ghazal%22&quot;&gt;Yoosefian, Ghazal&lt;/searchLink&gt;&lt;relatesTo&gt;2&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Bi%2C+Xioaming%22&quot;&gt;Bi, Xioaming&lt;/searchLink&gt;&lt;relatesTo&gt;5&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Gao%2C+Chang%22&quot;&gt;Gao, Chang&lt;/searchLink&gt;&lt;relatesTo&gt;5&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Shang%2C+Yun%22&quot;&gt;Shang, Yun&lt;/searchLink&gt;&lt;relatesTo&gt;4&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Binesh%2C+Nader%22&quot;&gt;Binesh, Nader&lt;/searchLink&gt;&lt;relatesTo&gt;6&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Lee%2C+Hsu‐Lei%22&quot;&gt;Lee, Hsu‐Lei&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Li%2C+Debiao%22&quot;&gt;Li, Debiao&lt;/searchLink&gt;&lt;relatesTo&gt;1,3&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Dharmakumar%2C+Rohan%22&quot;&gt;Dharmakumar, Rohan&lt;/searchLink&gt;&lt;relatesTo&gt;2&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Han%2C+Hui%22&quot;&gt;Han, Hui&lt;/searchLink&gt;&lt;relatesTo&gt;4&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Yang%2C+Hsin‐Jung+R%2E%22&quot;&gt;Yang, Hsin‐Jung R.&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;i&gt; hsin-jung.yang@cshs.org&lt;/i&gt;
– Name: TitleSource
  Label: Source
  Group: Src
  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Magnetic+Resonance+in+Medicine%22&quot;&gt;Magnetic Resonance in Medicine&lt;/searchLink&gt;. Jan2026, Vol. 95 Issue 1, p112-124. 13p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Cardiac+magnetic+resonance+imaging%22&quot;&gt;Cardiac magnetic resonance imaging&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Magnetic+resonance+imaging%22&quot;&gt;Magnetic resonance imaging&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Magnetic+flux+density%22&quot;&gt;Magnetic flux density&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Magnetic+susceptibility%22&quot;&gt;Magnetic susceptibility&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Deep+learning%22&quot;&gt;Deep learning&lt;/searchLink&gt;
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: Magnetic susceptibility differences at the heart–lung interface introduce B0‐field inhomogeneities that challenge cardiac MRI at high field strengths (≥ 3 T). Although hardware‐based shimming has advanced, conventional approaches often neglect dynamic variations in thoracic anatomy caused by cardiac and respiratory motion, leading to residual off‐resonance artifacts. This study aims to characterize motion‐induced B0‐field fluctuations in the heart and evaluate a deep learning–enabled motion‐adaptive B0 shimming pipeline to mitigate them. Methods: A motion‐resolved B0 mapping sequence was implemented at 3 T to quantify cardiac and respiratory‐induced B0 variations. A motion‐adaptive shimming framework was then developed and validated through numerical simulations and human imaging studies. B0‐field homogeneity and T2* mapping accuracy were assessed in multiple breath‐hold positions using standard and motion‐adaptive shimming. Results: Respiratory motion significantly altered myocardial B0 fields (p &lt; 0.01), whereas cardiac motion had minimal impact (p = 0.49). Compared with conventional scanner shimming, motion‐adaptive B0 shimming yielded significantly improved field uniformity across both inspiratory (post‐shim SDratio: 0.68 &#177; 0.10 vs. 0.89 &#177; 0.11; p &lt; 0.05) and expiratory (0.65 &#177; 0.16 vs. 0.84 &#177; 0.20; p &lt; 0.05) breath‐hold states. Corresponding improvements in myocardial T2* map homogeneity were observed, with reduced coefficient of variation (0.44 &#177; 0.19 vs. 0.39 &#177; 0.22; 0.59 &#177; 0.30 vs. 0.46 &#177; 0.21; both p &lt; 0.01). Conclusion: The proposed motion‐adaptive B0 shimming approach effectively compensates for respiration‐induced B0 fluctuations, enhancing field homogeneity and reducing off‐resonance artifacts. This strategy improves the robustness and reproducibility of T2* mapping, enabling more reliable high‐field cardiac MRI. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: &lt;i&gt;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&#39;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.&lt;/i&gt; (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=190791877
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/mrm.70026
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 112
    Subjects:
      – SubjectFull: Cardiac magnetic resonance imaging
        Type: general
      – SubjectFull: Magnetic resonance imaging
        Type: general
      – SubjectFull: Magnetic flux density
        Type: general
      – SubjectFull: Magnetic susceptibility
        Type: general
      – SubjectFull: Deep learning
        Type: general
    Titles:
      – TitleFull: Enhancing cardiac MRI reliability at 3 T using motion‐adaptive B0 shimming.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Huang, Yuheng
      – PersonEntity:
          Name:
            NameFull: Malagi, Archana Vadiraj
      – PersonEntity:
          Name:
            NameFull: Li, Xinqi
      – PersonEntity:
          Name:
            NameFull: Guan, Xingmin
      – PersonEntity:
          Name:
            NameFull: Yang, Chia‐Chi
      – PersonEntity:
          Name:
            NameFull: Huang, Li‐Ting
      – PersonEntity:
          Name:
            NameFull: Long, Ziyang
      – PersonEntity:
          Name:
            NameFull: Zepeda, Jeremy
      – PersonEntity:
          Name:
            NameFull: Zhang, Xinheng
      – PersonEntity:
          Name:
            NameFull: Yoosefian, Ghazal
      – PersonEntity:
          Name:
            NameFull: Bi, Xioaming
      – PersonEntity:
          Name:
            NameFull: Gao, Chang
      – PersonEntity:
          Name:
            NameFull: Shang, Yun
      – PersonEntity:
          Name:
            NameFull: Binesh, Nader
      – PersonEntity:
          Name:
            NameFull: Lee, Hsu‐Lei
      – PersonEntity:
          Name:
            NameFull: Li, Debiao
      – PersonEntity:
          Name:
            NameFull: Dharmakumar, Rohan
      – PersonEntity:
          Name:
            NameFull: Han, Hui
      – PersonEntity:
          Name:
            NameFull: Yang, Hsin‐Jung R.
    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