562-01-007 ISMRM Abstract

Non-Contrast-Enhanced 4D Ventilation Mapping from Highly Accelerated Time-Resolved 4D MRI of the lungs

Primary: Body - Lung

Secondary: Acquisition & Reconstruction - Image Reconstruction: AI

562-01-007 · Lung and Thoracic Oncological MRI · Wednesday, 13 May, 8:20 AM–9:15 AM · Digital Posters Row C

Keywords: Scan time reduction Rapid imaging Lung MRI AI-Accelerated MRI 4D ventilation

Accepted

Filip Klimeš ^1,2,3, Andreas Voskrebenzev^1,2, Jingjia Chen⁴, Frank Wacker^1,2, Hersh Chandarana⁴, Jens Vogel-Claussen^1,2,3, Li Feng⁴

¹Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany

²Member of the German Centre for Lung Research, Biomedical Research in Endstage and Obstructive Lung Disease, Hannover, Germany

³Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany

⁴Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, United States of America

Presenting Author: Filip Klimeš

Synopsis

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References

1. Voskrebenzev A, Gutberlet M, Klimeš F, et al. Feasibility of quantitative regional ventilation and perfusion mapping with phase-resolved functional lung (PREFUL) MRI in healthy volunteers and COPD, CTEPH, and CF patients. Magn Reson Med. 2018;79(4):2306-2314. doi:10.1002/mrm.26893 [doi]

2. Klimeš F, Voskrebenzev A, Gutberlet M, et al. 3D phase‐resolved functional lung ventilation MR imaging in healthy volunteers and patients with chronic pulmonary disease. Magn Reson Med. 2021;85(2):912-925. doi:10.1002/mrm.28482 [doi]

3. Feng L. 4D Golden-Angle Radial MRI at Subsecond Temporal Resolution. NMR Biomed. 2023;36(2):1-18. doi:10.1002/nbm.4844 [doi]

4. Feng L. Live-view 4D GRASP MRI: A framework for robust real-time respiratory motion tracking with a sub-second imaging latency. Magn Reson Med. 2023;90(3):1053-1068. doi:10.1002/mrm.29700 [doi]

5. Feng L, Wen Q, Huang C, Tong A, Liu F, Chandarana H. GRASP-Pro: imProving GRASP DCE-MRI through self-calibrating subspace-modeling and contrast phase automation. Magn Reson Med. 2020;83(1):94-108. doi:10.1002/mrm.27903 [doi]

6. Voskrebenzev A, Gutberlet M, Kaireit TF, Wacker F, Vogel-Claussen J. Low-pass imaging of dynamic acquisitions (LIDA) with a group-oriented registration (GOREG) for proton MR imaging of lung ventilation. Magn Reson Med. 2017;78(4):1496-1505. doi:10.1002/mrm.26526 [doi]

7. Forsberg D. fordanic/image-registration (https://github.com/fordanic/image-registration), GitHub. Retrieved September 8, 2021.

8. Klimeš F, Voskrebenzev A, Gutberlet M, et al. Free‐breathing quantification of regional ventilation derived by phase‐resolved functional lung (PREFUL) MRI. NMR Biomed. 2019;(February):e4088. doi:10.1002/nbm.4088 [doi]

9. Klimeš F, Voskrebenzev A, Gutberlet M, et al. Repeatability of dynamic 3D phase-resolved functional lung (PREFUL) ventilation MR Imaging in patients with chronic obstructive pulmonary disease and healthy volunteers. J Magn Reson Imaging. 2021;54(2):618-629. doi:10.1002/jmri.27543 [doi]

10. Klimeš F, Foo CT, Gutberlet M, et al. Dual-Center Repeatability, Consistency, and Comparison of 3D Phase-Resolved Functional (PREFUL) Ventilation MRI at 3 and 1.5 T in Healthy Volunteers. NMR Biomed. 2025;38(9). doi:10.1002/nbm.70101 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/562-01-007