Real‐time shimming with FID navigators
Purpose To implement a method for real‐time field control using rapid FID navigator (FIDnav) measurements and evaluate the efficacy of the proposed approach for mitigating dynamic field perturbations and improving T2*$$ {\mathrm{T}}_2^{\ast } $$‐weighted image quality. Methods FIDnavs were embedded...
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Published in | Magnetic resonance in medicine Vol. 88; no. 6; pp. 2548 - 2563 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Wiley Subscription Services, Inc
01.12.2022
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Subjects | |
Online Access | Get full text |
ISSN | 0740-3194 1522-2594 1522-2594 |
DOI | 10.1002/mrm.29421 |
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Abstract | Purpose
To implement a method for real‐time field control using rapid FID navigator (FIDnav) measurements and evaluate the efficacy of the proposed approach for mitigating dynamic field perturbations and improving T2*$$ {\mathrm{T}}_2^{\ast } $$‐weighted image quality.
Methods
FIDnavs were embedded in a gradient echo sequence and a subject‐specific linear calibration model was generated on the scanner to facilitate rapid shim updates in response to measured FIDnav signals. To confirm the accuracy of FID‐navigated field updates, phantom and volunteer scans were performed with online updates of the scanner B0 shim settings. To evaluate improvement in T2*$$ {\mathrm{T}}_2^{\ast } $$‐weighted image quality with real‐time shimming, 10 volunteers were scanned at 3T while performing deep‐breathing and nose‐touching tasks designed to modulate the B0 field. Quantitative image quality metrics were compared with and without FID‐navigated field control. An additional volunteer was scanned at 7T to evaluate performance at ultra‐high field.
Results
Applying measured FIDnav shim updates successfully compensated for applied global and linear field offsets in phantoms and across all volunteers. FID‐navigated real‐time shimming led to a substantial reduction in field fluctuations and a consequent improvement in T2*$$ {\mathrm{T}}_2^{\ast } $$‐weighted image quality in volunteers performing deep‐breathing and nose‐touching tasks, with 7.57% ± 6.01% and 8.21% ± 10.90% improvement in peak SNR and structural similarity, respectively.
Conclusion
FIDnavs facilitate rapid measurement and application of field coefficients for slice‐wise B0 shimming. The proposed approach can successfully counteract spatiotemporal field perturbations and substantially improves T2*$$ {\mathrm{T}}_2^{\ast } $$‐weighted image quality, which is important for a variety of clinical and research applications, particularly at ultra‐high field. |
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AbstractList | To implement a method for real-time field control using rapid FID navigator (FIDnav) measurements and evaluate the efficacy of the proposed approach for mitigating dynamic field perturbations and improving
-weighted image quality.
FIDnavs were embedded in a gradient echo sequence and a subject-specific linear calibration model was generated on the scanner to facilitate rapid shim updates in response to measured FIDnav signals. To confirm the accuracy of FID-navigated field updates, phantom and volunteer scans were performed with online updates of the scanner B
shim settings. To evaluate improvement in
-weighted image quality with real-time shimming, 10 volunteers were scanned at 3T while performing deep-breathing and nose-touching tasks designed to modulate the B
field. Quantitative image quality metrics were compared with and without FID-navigated field control. An additional volunteer was scanned at 7T to evaluate performance at ultra-high field.
Applying measured FIDnav shim updates successfully compensated for applied global and linear field offsets in phantoms and across all volunteers. FID-navigated real-time shimming led to a substantial reduction in field fluctuations and a consequent improvement in
-weighted image quality in volunteers performing deep-breathing and nose-touching tasks, with 7.57% ± 6.01% and 8.21% ± 10.90% improvement in peak SNR and structural similarity, respectively.
FIDnavs facilitate rapid measurement and application of field coefficients for slice-wise B
shimming. The proposed approach can successfully counteract spatiotemporal field perturbations and substantially improves
-weighted image quality, which is important for a variety of clinical and research applications, particularly at ultra-high field. Purpose To implement a method for real‐time field control using rapid FID navigator (FIDnav) measurements and evaluate the efficacy of the proposed approach for mitigating dynamic field perturbations and improving T2*$$ {\mathrm{T}}_2^{\ast } $$‐weighted image quality. Methods FIDnavs were embedded in a gradient echo sequence and a subject‐specific linear calibration model was generated on the scanner to facilitate rapid shim updates in response to measured FIDnav signals. To confirm the accuracy of FID‐navigated field updates, phantom and volunteer scans were performed with online updates of the scanner B0 shim settings. To evaluate improvement in T2*$$ {\mathrm{T}}_2^{\ast } $$‐weighted image quality with real‐time shimming, 10 volunteers were scanned at 3T while performing deep‐breathing and nose‐touching tasks designed to modulate the B0 field. Quantitative image quality metrics were compared with and without FID‐navigated field control. An additional volunteer was scanned at 7T to evaluate performance at ultra‐high field. Results Applying measured FIDnav shim updates successfully compensated for applied global and linear field offsets in phantoms and across all volunteers. FID‐navigated real‐time shimming led to a substantial reduction in field fluctuations and a consequent improvement in T2*$$ {\mathrm{T}}_2^{\ast } $$‐weighted image quality in volunteers performing deep‐breathing and nose‐touching tasks, with 7.57% ± 6.01% and 8.21% ± 10.90% improvement in peak SNR and structural similarity, respectively. Conclusion FIDnavs facilitate rapid measurement and application of field coefficients for slice‐wise B0 shimming. The proposed approach can successfully counteract spatiotemporal field perturbations and substantially improves T2*$$ {\mathrm{T}}_2^{\ast } $$‐weighted image quality, which is important for a variety of clinical and research applications, particularly at ultra‐high field. Click here for author‐reader discussions PurposeTo implement a method for real‐time field control using rapid FID navigator (FIDnav) measurements and evaluate the efficacy of the proposed approach for mitigating dynamic field perturbations and improving T2*$$ {\mathrm{T}}_2^{\ast } $$‐weighted image quality.MethodsFIDnavs were embedded in a gradient echo sequence and a subject‐specific linear calibration model was generated on the scanner to facilitate rapid shim updates in response to measured FIDnav signals. To confirm the accuracy of FID‐navigated field updates, phantom and volunteer scans were performed with online updates of the scanner B0 shim settings. To evaluate improvement in T2*$$ {\mathrm{T}}_2^{\ast } $$‐weighted image quality with real‐time shimming, 10 volunteers were scanned at 3T while performing deep‐breathing and nose‐touching tasks designed to modulate the B0 field. Quantitative image quality metrics were compared with and without FID‐navigated field control. An additional volunteer was scanned at 7T to evaluate performance at ultra‐high field.ResultsApplying measured FIDnav shim updates successfully compensated for applied global and linear field offsets in phantoms and across all volunteers. FID‐navigated real‐time shimming led to a substantial reduction in field fluctuations and a consequent improvement in T2*$$ {\mathrm{T}}_2^{\ast } $$‐weighted image quality in volunteers performing deep‐breathing and nose‐touching tasks, with 7.57% ± 6.01% and 8.21% ± 10.90% improvement in peak SNR and structural similarity, respectively.ConclusionFIDnavs facilitate rapid measurement and application of field coefficients for slice‐wise B0 shimming. The proposed approach can successfully counteract spatiotemporal field perturbations and substantially improves T2*$$ {\mathrm{T}}_2^{\ast } $$‐weighted image quality, which is important for a variety of clinical and research applications, particularly at ultra‐high field. To implement a method for real-time field control using rapid FID navigator (FIDnav) measurements and evaluate the efficacy of the proposed approach for mitigating dynamic field perturbations and improving T 2 * $$ {\mathrm{T}}_2^{\ast } $$ -weighted image quality.PURPOSETo implement a method for real-time field control using rapid FID navigator (FIDnav) measurements and evaluate the efficacy of the proposed approach for mitigating dynamic field perturbations and improving T 2 * $$ {\mathrm{T}}_2^{\ast } $$ -weighted image quality.FIDnavs were embedded in a gradient echo sequence and a subject-specific linear calibration model was generated on the scanner to facilitate rapid shim updates in response to measured FIDnav signals. To confirm the accuracy of FID-navigated field updates, phantom and volunteer scans were performed with online updates of the scanner B0 shim settings. To evaluate improvement in T 2 * $$ {\mathrm{T}}_2^{\ast } $$ -weighted image quality with real-time shimming, 10 volunteers were scanned at 3T while performing deep-breathing and nose-touching tasks designed to modulate the B0 field. Quantitative image quality metrics were compared with and without FID-navigated field control. An additional volunteer was scanned at 7T to evaluate performance at ultra-high field.METHODSFIDnavs were embedded in a gradient echo sequence and a subject-specific linear calibration model was generated on the scanner to facilitate rapid shim updates in response to measured FIDnav signals. To confirm the accuracy of FID-navigated field updates, phantom and volunteer scans were performed with online updates of the scanner B0 shim settings. To evaluate improvement in T 2 * $$ {\mathrm{T}}_2^{\ast } $$ -weighted image quality with real-time shimming, 10 volunteers were scanned at 3T while performing deep-breathing and nose-touching tasks designed to modulate the B0 field. Quantitative image quality metrics were compared with and without FID-navigated field control. An additional volunteer was scanned at 7T to evaluate performance at ultra-high field.Applying measured FIDnav shim updates successfully compensated for applied global and linear field offsets in phantoms and across all volunteers. FID-navigated real-time shimming led to a substantial reduction in field fluctuations and a consequent improvement in T 2 * $$ {\mathrm{T}}_2^{\ast } $$ -weighted image quality in volunteers performing deep-breathing and nose-touching tasks, with 7.57% ± 6.01% and 8.21% ± 10.90% improvement in peak SNR and structural similarity, respectively.RESULTSApplying measured FIDnav shim updates successfully compensated for applied global and linear field offsets in phantoms and across all volunteers. FID-navigated real-time shimming led to a substantial reduction in field fluctuations and a consequent improvement in T 2 * $$ {\mathrm{T}}_2^{\ast } $$ -weighted image quality in volunteers performing deep-breathing and nose-touching tasks, with 7.57% ± 6.01% and 8.21% ± 10.90% improvement in peak SNR and structural similarity, respectively.FIDnavs facilitate rapid measurement and application of field coefficients for slice-wise B0 shimming. The proposed approach can successfully counteract spatiotemporal field perturbations and substantially improves T 2 * $$ {\mathrm{T}}_2^{\ast } $$ -weighted image quality, which is important for a variety of clinical and research applications, particularly at ultra-high field.CONCLUSIONFIDnavs facilitate rapid measurement and application of field coefficients for slice-wise B0 shimming. The proposed approach can successfully counteract spatiotemporal field perturbations and substantially improves T 2 * $$ {\mathrm{T}}_2^{\ast } $$ -weighted image quality, which is important for a variety of clinical and research applications, particularly at ultra-high field. |
Author | Stockmann, Jason P. Polimeni, Jonathan R. Warfield, Simon K. Wallace, Tess E. Kober, Tobias Afacan, Onur |
AuthorAffiliation | 2. Department of Radiology, Harvard Medical School, Boston, MA, United States 4. Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland 3. Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland 1. Computational Radiology Laboratory, Department of Radiology, Boston Children’s Hospital, Boston, MA, United States 5. LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland 6. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States |
AuthorAffiliation_xml | – name: 3. Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland – name: 4. Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland – name: 5. LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland – name: 6. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States – name: 1. Computational Radiology Laboratory, Department of Radiology, Boston Children’s Hospital, Boston, MA, United States – name: 2. Department of Radiology, Harvard Medical School, Boston, MA, United States |
Author_xml | – sequence: 1 givenname: Tess E. orcidid: 0000-0002-8519-5913 surname: Wallace fullname: Wallace, Tess E. email: tess.wallace@childrens.harvard.edu organization: Harvard Medical School – sequence: 2 givenname: Tobias orcidid: 0000-0001-7598-9456 surname: Kober fullname: Kober, Tobias organization: LTS5, École Polytechnique Fédérale de Lausanne – sequence: 3 givenname: Jason P. orcidid: 0000-0001-8454-5347 surname: Stockmann fullname: Stockmann, Jason P. organization: Massachusetts General Hospital – sequence: 4 givenname: Jonathan R. orcidid: 0000-0002-1348-1179 surname: Polimeni fullname: Polimeni, Jonathan R. organization: Massachusetts General Hospital – sequence: 5 givenname: Simon K. orcidid: 0000-0002-7659-3880 surname: Warfield fullname: Warfield, Simon K. organization: Harvard Medical School – sequence: 6 givenname: Onur orcidid: 0000-0003-2112-3205 surname: Afacan fullname: Afacan, Onur email: onur.afacan@childrens.harvard.edu organization: Harvard Medical School |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36093989$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1002_mrm_30262 crossref_primary_10_1002_mrm_30385 crossref_primary_10_1002_mrm_30441 crossref_primary_10_1002_mrm_30475 crossref_primary_10_1093_psyrad_kkae013 |
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Copyright | 2022 International Society for Magnetic Resonance in Medicine. 2022 International Society for Magnetic Resonance in Medicine |
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Keywords | real-time shimming B0 inhomogeneity weighted imaging FID navigators artifact correction |
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Notes | Funding information Parts of this work were presented at the joint Annual Meeting of the ISMRM‐ESMRMB, London, UK, 2022. National Institute of Biomedical Imaging and Bioengineering, Grant/Award Numbers: P41 EB030006; R01 EB019483; National Institute of Neurological Disorders and Stroke, Grant/Award Numbers: R01 NS106030; R01 NS121657; NIH Office of the Director, and Stroke, Grant/Award Numbers: S10 OD023637; S10 OD025111; Thrasher Research Fund, Grant/Award Number: Early Career Award #14989; National Institutes of Health ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
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To implement a method for real‐time field control using rapid FID navigator (FIDnav) measurements and evaluate the efficacy of the proposed approach... Click here for author‐reader discussions To implement a method for real-time field control using rapid FID navigator (FIDnav) measurements and evaluate the efficacy of the proposed approach for... PurposeTo implement a method for real‐time field control using rapid FID navigator (FIDnav) measurements and evaluate the efficacy of the proposed approach for... |
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SubjectTerms | artifact correction B0 inhomogeneity Brain - diagnostic imaging Calibration FID navigators Humans Image Processing, Computer-Assisted - methods Image quality Linear Models Magnetic Resonance Imaging - methods Navigators Nose Performance evaluation Perturbation Phantoms, Imaging real‐time shimming Scanners T2$$ {\mathrm{T}}_2^{\ast } $$ ‐weighted imaging Volunteers |
Title | Real‐time shimming with FID navigators |
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