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Article: Self-navigated subspace reconstruction for real-time MR imaging of the vocal tract

TitleSelf-navigated subspace reconstruction for real-time MR imaging of the vocal tract
Authors
KeywordsReal-time MRI
Self-navigation
Speech imaging
Subspace reconstruction
Issue Date1-Jan-2025
PublisherElsevier
Citation
Magnetic Resonance Imaging, 2025, v. 115 How to Cite?
Abstract

Purpose: Real-time MRI offers a continuous and dynamic view of the object being imaged. Researchers have applied real-time MRI to speech production, which allows for the visualization of the vocal tract during speech. Methods: This study proposed applying self-navigated subspace reconstruction for real-time vocal tract imaging. We performed experiments on a clinical 3 T MRI using standard RF coils and rapid acquisition. Additionally, 1000 frames were compressed during reconstruction to a few principal components, and iterative low-rank approximation was performed on compressed k-space, in conjunction with the orthogonal basis estimation for the subspace. Results: The simulation study involving a 32-time acceleration showed that the proposed method produced a reasonably small root mean square error (RMSE) of 0.159, compared to 0.278 for sliding window reconstruction, 0.2527 for SToRM and 0.294 for low-rank reconstruction. The study also presented in vivo images of a typical sagittal image with a temporal resolution of 7 ms/frame or 21 ms/frame for the three-slice scan. Conclusion: Our study presented a subspace reconstruction technique that does not require a navigator echo, which can be used for real-time MRI, particularly in speech imaging applications.


Persistent Identifierhttp://hdl.handle.net/10722/353562
ISSN
2023 Impact Factor: 2.1
2023 SCImago Journal Rankings: 0.647

 

DC FieldValueLanguage
dc.contributor.authorCao, Peng-
dc.contributor.authorJiang, Wenting-
dc.contributor.authorChen, Changhe-
dc.contributor.authorWang, Yiang-
dc.contributor.authorHavenhill, Jonathan-
dc.date.accessioned2025-01-21T00:35:42Z-
dc.date.available2025-01-21T00:35:42Z-
dc.date.issued2025-01-01-
dc.identifier.citationMagnetic Resonance Imaging, 2025, v. 115-
dc.identifier.issn0730-725X-
dc.identifier.urihttp://hdl.handle.net/10722/353562-
dc.description.abstract<p>Purpose: Real-time MRI offers a continuous and dynamic view of the object being imaged. Researchers have applied real-time MRI to speech production, which allows for the visualization of the vocal tract during speech. Methods: This study proposed applying self-navigated subspace reconstruction for real-time vocal tract imaging. We performed experiments on a clinical 3 T MRI using standard RF coils and rapid acquisition. Additionally, 1000 frames were compressed during reconstruction to a few principal components, and iterative low-rank approximation was performed on compressed k-space, in conjunction with the orthogonal basis estimation for the subspace. Results: The simulation study involving a 32-time acceleration showed that the proposed method produced a reasonably small root mean square error (RMSE) of 0.159, compared to 0.278 for sliding window reconstruction, 0.2527 for SToRM and 0.294 for low-rank reconstruction. The study also presented in vivo images of a typical sagittal image with a temporal resolution of 7 ms/frame or 21 ms/frame for the three-slice scan. Conclusion: Our study presented a subspace reconstruction technique that does not require a navigator echo, which can be used for real-time MRI, particularly in speech imaging applications.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofMagnetic Resonance Imaging-
dc.subjectReal-time MRI-
dc.subjectSelf-navigation-
dc.subjectSpeech imaging-
dc.subjectSubspace reconstruction-
dc.titleSelf-navigated subspace reconstruction for real-time MR imaging of the vocal tract-
dc.typeArticle-
dc.identifier.doi10.1016/j.mri.2024.110243-
dc.identifier.pmid39369913-
dc.identifier.scopuseid_2-s2.0-85206439151-
dc.identifier.volume115-
dc.identifier.issnl0730-725X-

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