Motion corrected silent ZTE neuroimaging
(2022) In Magnetic Resonance in Medicine 88(1). p.195-210- Abstract
Purpose: To develop self-navigated motion correction for 3D silent zero echo time (ZTE) based neuroimaging and characterize its performance for different types of head motion. Methods: The proposed method termed MERLIN (Motion Estimation & Retrospective correction Leveraging Interleaved Navigators) achieves self-navigation by using interleaved 3D phyllotaxis k-space sampling. Low resolution navigator images are reconstructed continuously throughout the ZTE acquisition using a sliding window and co-registered in image space relative to a fixed reference position. Rigid body motion corrections are then applied retrospectively to the k-space trajectory and raw data and reconstructed into a final, high-resolution ZTE image. Results:... (More)
Purpose: To develop self-navigated motion correction for 3D silent zero echo time (ZTE) based neuroimaging and characterize its performance for different types of head motion. Methods: The proposed method termed MERLIN (Motion Estimation & Retrospective correction Leveraging Interleaved Navigators) achieves self-navigation by using interleaved 3D phyllotaxis k-space sampling. Low resolution navigator images are reconstructed continuously throughout the ZTE acquisition using a sliding window and co-registered in image space relative to a fixed reference position. Rigid body motion corrections are then applied retrospectively to the k-space trajectory and raw data and reconstructed into a final, high-resolution ZTE image. Results: MERLIN demonstrated successful and consistent motion correction for magnetization prepared ZTE images for a range of different instructed motion paradigms. The acoustic noise response of the self-navigated phyllotaxis trajectory was found to be only slightly above ambient noise levels (<4 dBA). Conclusion: Silent ZTE imaging combined with MERLIN addresses two major challenges intrinsic to MRI (i.e., subject motion and acoustic noise) in a synergistic and integrated manner without increase in scan time and thereby forms a versatile and powerful framework for clinical and research MR neuroimaging applications.
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- author
- Ljungberg, Emil LU ; Wood, Tobias C. ; Solana, Ana Beatriz ; Williams, Steven C.R. ; Barker, Gareth J. and Wiesinger, Florian
- organization
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- motion correction, neuroimaging, RUFIS, silent MRI, ZTE
- in
- Magnetic Resonance in Medicine
- volume
- 88
- issue
- 1
- pages
- 16 pages
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- pmid:35381110
- scopus:85127393897
- ISSN
- 0740-3194
- DOI
- 10.1002/mrm.29201
- language
- English
- LU publication?
- yes
- id
- 10f2ebe0-9be7-4f4c-a7b6-55b8fc6b8d2f
- date added to LUP
- 2022-05-18 14:30:48
- date last changed
- 2024-09-19 22:01:45
@article{10f2ebe0-9be7-4f4c-a7b6-55b8fc6b8d2f, abstract = {{<p>Purpose: To develop self-navigated motion correction for 3D silent zero echo time (ZTE) based neuroimaging and characterize its performance for different types of head motion. Methods: The proposed method termed MERLIN (Motion Estimation & Retrospective correction Leveraging Interleaved Navigators) achieves self-navigation by using interleaved 3D phyllotaxis k-space sampling. Low resolution navigator images are reconstructed continuously throughout the ZTE acquisition using a sliding window and co-registered in image space relative to a fixed reference position. Rigid body motion corrections are then applied retrospectively to the k-space trajectory and raw data and reconstructed into a final, high-resolution ZTE image. Results: MERLIN demonstrated successful and consistent motion correction for magnetization prepared ZTE images for a range of different instructed motion paradigms. The acoustic noise response of the self-navigated phyllotaxis trajectory was found to be only slightly above ambient noise levels (<4 dBA). Conclusion: Silent ZTE imaging combined with MERLIN addresses two major challenges intrinsic to MRI (i.e., subject motion and acoustic noise) in a synergistic and integrated manner without increase in scan time and thereby forms a versatile and powerful framework for clinical and research MR neuroimaging applications.</p>}}, author = {{Ljungberg, Emil and Wood, Tobias C. and Solana, Ana Beatriz and Williams, Steven C.R. and Barker, Gareth J. and Wiesinger, Florian}}, issn = {{0740-3194}}, keywords = {{motion correction; neuroimaging; RUFIS; silent MRI; ZTE}}, language = {{eng}}, number = {{1}}, pages = {{195--210}}, publisher = {{John Wiley & Sons Inc.}}, series = {{Magnetic Resonance in Medicine}}, title = {{Motion corrected silent ZTE neuroimaging}}, url = {{http://dx.doi.org/10.1002/mrm.29201}}, doi = {{10.1002/mrm.29201}}, volume = {{88}}, year = {{2022}}, }