Journal
MAGNETIC RESONANCE IN MEDICINE
Volume 79, Issue 6, Pages 2954-2967Publisher
WILEY
DOI: 10.1002/mrm.26958
Keywords
3D self-navigator; UTE; free-breathing; soft-gating; respiratory motion-resolved; pulmonary imaging
Funding
- NIH [KL2TR000428, R01-EB01924, UL1TR000427]
- Sloan Research Fellowship from Sloan Foundation
- Bakar Fellowship from UC-Berkeley
- GEMS Fellowship from UCSF
- General Electric Healthcare
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PurposeTo achieve motion robust high resolution 3D free-breathing pulmonary MRI utilizing a novel dynamic 3D image navigator derived directly from imaging data. MethodsFive-minute free-breathing scans were acquired with a 3D ultrashort echo time (UTE) sequence with 1.25 mm isotropic resolution. From this data, dynamic 3D self-navigating images were reconstructed under locally low rank (LLR) constraints and used for motion compensation with one of two methods: a soft-gating technique to penalize the respiratory motion induced data inconsistency, and a respiratory motion-resolved technique to provide images of all respiratory motion states. ResultsRespiratory motion estimation derived from the proposed dynamic 3D self-navigator of 7.5 mm isotropic reconstruction resolution and a temporal resolution of 300 ms was successful for estimating complex respiratory motion patterns. This estimation improved image quality compared to respiratory belt and DC-based navigators. Respiratory motion compensation with soft-gating and respiratory motion-resolved techniques provided good image quality from highly undersampled data in volunteers and clinical patients. ConclusionAn optimized 3D UTE sequence combined with the proposed reconstruction methods can provide high-resolution motion robust pulmonary MRI. Feasibility was shown in patients who had irregular breathing patterns in which our approach could depict clinically relevant pulmonary pathologies. Magn Reson Med 79:2954-2967, 2018. (c) 2017 International Society for Magnetic Resonance in Medicine.
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