Quantifying spatial and dynamic lung abnormalities with 3D PREFUL FLORET UTE imaging: A feasibility study.
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| Title: | Quantifying spatial and dynamic lung abnormalities with 3D PREFUL FLORET UTE imaging: A feasibility study. |
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| Authors: | Klimeš, Filip1,2 (AUTHOR), Plummer, Joseph W.3,4 (AUTHOR), Willmering, Matthew M.3,5,6 (AUTHOR), Matheson, Alexander M.3 (AUTHOR), Bdaiwi, Abdullah S.3 (AUTHOR), Gutberlet, Marcel1,2 (AUTHOR), Voskrebenzev, Andreas1,2 (AUTHOR), Wernz, Marius M.1,2 (AUTHOR), Wacker, Frank1,2 (AUTHOR), Woods, Jason3,5,6,7 (AUTHOR), Cleveland, Zackary I.3,4,5,6 (AUTHOR), Walkup, Laura L.3,4,5,6 (AUTHOR), Vogel‐Claussen, Jens1,2 (AUTHOR) vogel-claussen.jens@mh-hannover.de |
| Source: | Magnetic Resonance in Medicine. May2025, Vol. 93 Issue 5, p1984-1998. 15p. |
| Subjects: | Image stabilization, Ventilation, Spatial resolution, Air flow, Lung diseases |
| Abstract: | Purpose: Pulmonary MRI faces challenges due to low proton density, rapid transverse magnetization decay, and cardiac and respiratory motion. The fermat‐looped orthogonally encoded trajectories (FLORET) sequence addresses these issues with high sampling efficiency, strong signal, and motion robustness, but has not yet been applied to phase‐resolved functional lung (PREFUL) MRI—a contrast‐free method for assessing pulmonary ventilation during free breathing. This study aims to develop a reconstruction pipeline for FLORET UTE, enhancing spatial resolution for three‐dimensional (3D) PREFUL ventilation analysis. Methods: The FLORET sequence was used to continuously acquire data over 7 ± 2 min in 36 participants, including healthy subjects (N = 7) and patients with various pulmonary conditions (N = 29). Data were reconstructed into respiratory images using motion‐compensated low‐rank reconstruction, and a 3D PREFUL algorithm was adapted to quantify static and dynamic ventilation surrogates. Image sharpness and signal‐to‐noise ratio were evaluated across different motion states. PREFUL ventilation metrics were compared with static 129Xe ventilation MRI. Results: Optimal image sharpness and accurate ventilation dynamics were achieved using 24 respiratory bins, leading to their use in the study. A strong correlation was found between 3D PREFUL FLORET UTE ventilation defect percentages (VDPs) and 129Xe VDPs (r ≥ 0.61, p < 0.0001), although PREFUL FLORET static VDPs were significantly higher (mean bias = −10.1%, p < 0.0001). In diseased patients, dynamic ventilation parameters showed greater heterogeneity and better alignment with 129Xe VDPs. Conclusion: The proposed reconstruction pipeline for FLORET UTE MRI offers improved spatial resolution and strong correlation with 129Xe MRI, enabling dynamic ventilation quantification that may reveal airflow abnormalities in lung disease. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | Purpose: Pulmonary MRI faces challenges due to low proton density, rapid transverse magnetization decay, and cardiac and respiratory motion. The fermat‐looped orthogonally encoded trajectories (FLORET) sequence addresses these issues with high sampling efficiency, strong signal, and motion robustness, but has not yet been applied to phase‐resolved functional lung (PREFUL) MRI—a contrast‐free method for assessing pulmonary ventilation during free breathing. This study aims to develop a reconstruction pipeline for FLORET UTE, enhancing spatial resolution for three‐dimensional (3D) PREFUL ventilation analysis. Methods: The FLORET sequence was used to continuously acquire data over 7 ± 2 min in 36 participants, including healthy subjects (N = 7) and patients with various pulmonary conditions (N = 29). Data were reconstructed into respiratory images using motion‐compensated low‐rank reconstruction, and a 3D PREFUL algorithm was adapted to quantify static and dynamic ventilation surrogates. Image sharpness and signal‐to‐noise ratio were evaluated across different motion states. PREFUL ventilation metrics were compared with static 129Xe ventilation MRI. Results: Optimal image sharpness and accurate ventilation dynamics were achieved using 24 respiratory bins, leading to their use in the study. A strong correlation was found between 3D PREFUL FLORET UTE ventilation defect percentages (VDPs) and 129Xe VDPs (r ≥ 0.61, p < 0.0001), although PREFUL FLORET static VDPs were significantly higher (mean bias = −10.1%, p < 0.0001). In diseased patients, dynamic ventilation parameters showed greater heterogeneity and better alignment with 129Xe VDPs. Conclusion: The proposed reconstruction pipeline for FLORET UTE MRI offers improved spatial resolution and strong correlation with 129Xe MRI, enabling dynamic ventilation quantification that may reveal airflow abnormalities in lung disease. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 07403194 |
| DOI: | 10.1002/mrm.30416 |
