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- Publisher Website: 10.1016/j.mri.2018.11.001
- Scopus: eid_2-s2.0-85059171987
- PMID: 30439513
- WOS: WOS:000458096100034
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Article: Rigid motion correction for magnetic resonance fingerprinting with sliding-window reconstruction and image registration
Title | Rigid motion correction for magnetic resonance fingerprinting with sliding-window reconstruction and image registration |
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Authors | |
Keywords | Magnetic resonance fingerprinting Sliding-window reconstruction Motion correction Image registration |
Issue Date | 2019 |
Publisher | Elsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/mri |
Citation | Magnetic Resonance Imaging, 2019, v. 57, p. 303-312 How to Cite? |
Abstract | Magnetic resonance fingerprinting (MRF) can be used to simultaneously obtain multiple parameter maps from a single pulse sequence. However, patient motion during MRF acquisition may result in blurring and artifacts in estimated parameter maps. In this work, a novel motion correction method was proposed to correct for rigid motion in MRF. The proposed method involved sliding-window reconstruction to obtain intermediate images followed by image registration to estimate rigid motion information between these images. Finally, the motion-corrupted k-space data were corrected with the estimated motion parameters and then reconstructed to obtain the parameter maps via the conventional MRF processing pipeline. The proposed method was evaluated using both simulations and in vivo MRF experiments with intently different types of motion. For motion-corrupted data, the proposed method yielded brain T1, T2 and proton density maps with obviously reduced blurring and artifacts and lower normalized root-mean-square error, compared to MRF without motion correction. In conclusion, motion-corrected MRF using the proposed method has the potential to produce accurate parameter maps in the presence of in-plane rigid motion. |
Persistent Identifier | http://hdl.handle.net/10722/279156 |
ISSN | 2023 Impact Factor: 2.1 2023 SCImago Journal Rankings: 0.647 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Xu, Z | - |
dc.contributor.author | Ye, H | - |
dc.contributor.author | Lyu, M | - |
dc.contributor.author | He, H | - |
dc.contributor.author | Zhong, J | - |
dc.contributor.author | Mei, Y | - |
dc.contributor.author | Chen, Z | - |
dc.contributor.author | Wu, EX | - |
dc.contributor.author | Chen, W | - |
dc.contributor.author | Feng, Q | - |
dc.contributor.author | Feng, Y | - |
dc.date.accessioned | 2019-10-21T02:20:38Z | - |
dc.date.available | 2019-10-21T02:20:38Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Magnetic Resonance Imaging, 2019, v. 57, p. 303-312 | - |
dc.identifier.issn | 0730-725X | - |
dc.identifier.uri | http://hdl.handle.net/10722/279156 | - |
dc.description.abstract | Magnetic resonance fingerprinting (MRF) can be used to simultaneously obtain multiple parameter maps from a single pulse sequence. However, patient motion during MRF acquisition may result in blurring and artifacts in estimated parameter maps. In this work, a novel motion correction method was proposed to correct for rigid motion in MRF. The proposed method involved sliding-window reconstruction to obtain intermediate images followed by image registration to estimate rigid motion information between these images. Finally, the motion-corrupted k-space data were corrected with the estimated motion parameters and then reconstructed to obtain the parameter maps via the conventional MRF processing pipeline. The proposed method was evaluated using both simulations and in vivo MRF experiments with intently different types of motion. For motion-corrupted data, the proposed method yielded brain T1, T2 and proton density maps with obviously reduced blurring and artifacts and lower normalized root-mean-square error, compared to MRF without motion correction. In conclusion, motion-corrected MRF using the proposed method has the potential to produce accurate parameter maps in the presence of in-plane rigid motion. | - |
dc.language | eng | - |
dc.publisher | Elsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/mri | - |
dc.relation.ispartof | Magnetic Resonance Imaging | - |
dc.subject | Magnetic resonance fingerprinting | - |
dc.subject | Sliding-window reconstruction | - |
dc.subject | Motion correction | - |
dc.subject | Image registration | - |
dc.title | Rigid motion correction for magnetic resonance fingerprinting with sliding-window reconstruction and image registration | - |
dc.type | Article | - |
dc.identifier.email | Lyu, M: mylyu@connect.hku.hk | - |
dc.identifier.email | Wu, EX: ewu@eee.hku.hk | - |
dc.identifier.authority | Wu, EX=rp00193 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.mri.2018.11.001 | - |
dc.identifier.pmid | 30439513 | - |
dc.identifier.scopus | eid_2-s2.0-85059171987 | - |
dc.identifier.hkuros | 307649 | - |
dc.identifier.volume | 57 | - |
dc.identifier.spage | 303 | - |
dc.identifier.epage | 312 | - |
dc.identifier.isi | WOS:000458096100034 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 0730-725X | - |