Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
302-02-007 ISMRM Abstract

A Novel Independent Component Analysis Method for Non-Contrast-Enhanced Pulmonary Ventilation and Perfusion MRI

Primary: Body - Lung
Secondary: Analysis Methods - Data Processing
302-02-007 · Take a Breath: Chest, Thoracic, and Pulmonary MRI · Monday, 11 May, 8:20 AM–10:10 AM · Hall 1B
Keywords: MR-Linac Ventilation and Perfusion Imaging Independent Component Analysis Lung Cancer Functional lung imaging
Accepted
Laura Rozo Pardo 1,2, Rabea Klaar1,2, Moritz Rabe3, Christopher Kurz3,4,5, Enrico Schulz1, Bastian Sabel1,2,6, Olaf Dietrich1
1Department of Radiology, LMU Klinikum Munich, München, Germany
2Comprehensive Pneumology Center (CPC-M), German Center for Lung Research (DZL), Munich, Germany
3Department of Radiation Oncology, LMU Klinikum Munich, München, Germany
4partner site Munich, a partnership between DKFZ and LMU University Hospital Munich Germany, Munich, Germany, German Cancer Consortium (DKTK), Heidelberg, Germany
5Bavarian Cancer Research Center (BZKF), Munich, Germany
6Department of Radiology, Asklepios Lung Clinic Gauting, Munich, Germany
Presenting Author: Laura Rozo Pardo

Synopsis

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References

1. Klaar R, Rabe M, Gaass T, et al. Ventilation and perfusion MRI at a 0.35 T MR-Linac: feasibility and reproducibility study. Radiat Oncol. 2023;18(1):58. https://doi.org/10.1186/s13014-023-02244-1 [doi]
2. Nierer L, Eze C, da Silva Mendes V, et al. Dosimetric benefit of MR-guided online adaptive radiotherapy in different tumor entities: liver, lung, abdominal lymph nodes, pancreas and prostate. Radiat Oncol. 2022;17(1):53. https://doi.org/10.1186/s13014-022-02021-6 [doi]
3. Campbell-Washburn AE, Ramasawmy R, Restivo MC, et al. Opportunities in Interventional and Diagnostic Imaging by Using High-Performance Low-Field-Strength MRI. Radiology. 2019;293(2):384-393. https://doi.org/10.1148/radiol.2019190452. https://doi.org/10.1148/radiol.2019190452 [doi]
4. 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. https://doi.org/10.1002/mrm.26893 [doi]
5. Bondesson D, Schneider MJ, Gaass T, et al. Nonuniform Fourier-decomposition MRI for ventilation- and perfusion-weighted imaging of the lung. Magn Reson Med. 2019;82(4):1312-1321. https://doi.org/10.1002/mrm.27803 [doi]
6. Bauman G, Bieri O. Matrix pencil decomposition of time-resolved proton MRI for robust and improved assessment of pulmonary ventilation and perfusion. Magn Reson Med. 2017;77(1):336-342. https://doi.org/10.1002/mrm.26096 [doi]
7. Jung TP, Makeig S, McKeown MJ, Bell AJ, Lee TW, Sejnowski TJ. Imaging brain dynamics using independent component analysis. Proc IEEE Inst Electr Electron Eng. 2001;89(7):1107-1122. doi: 10.1109/5.939827 [doi]
8. Avants BB, Tustison NJ, Song G, et al. A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage. 2011;54(3):2033-2044. https://doi.org/10.1016/j.neuroimage.2010.09.025 [doi]
9. Hyvärinen A, Oja E. A fast fixed-point algorithm for independent component analysis. Neural Comput. 1997;9(7):1483-1492. https://doi.org/10.1162/neco.1997.9.7.1483 [doi]

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http://echo.ismrm.org/p/ISMRM2026/302-02-007