Functional MRI using Fourier decomposition of lung signal: Reproducibility of ventilation- and perfusion-weighted imaging in healthy volunteers |
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Authors: | Mathieu Lederlin Grzegorz Bauman Monika Eichinger Julien Dinkel Mathilde Brault Jürgen Biederer Michael Puderbach |
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Institution: | 1. Department of Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany;2. Department of Thoracic and Cardiovascular Imaging, University Hospital of Bordeaux, Av de Magellan, 33600 Pessac, France;3. Division of Medical Physics in Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany;4. Division of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany;5. Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114, United States;6. Methodological Unit of Support for Research (USMR), University Bordeaux Segalen, 146 rue Léo Saignat, 33076 Bordeaux, France;g Chest Clinics at the University of Heidelberg, Clinics for Interventional and Diagnostic Radiology, Amalienstr. 5, 69126 Heidelberg, Germany |
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Abstract: | PurposeTo assess the reproducibility of Fourier decomposition (FD) based ventilation- and perfusion-weighted lung MRI.MethodsSixteen healthy volunteers were examined on a 1.5 T whole-body MR-scanner with 4–6 sets of coronal slices over the chest volume with a non-contrast enhanced steady-state free precession sequence. The identical protocol was repeated after 24 h. Reconstructed perfusion- and ventilation-weighted images were obtained through non-rigid registration and FD post-processing of images. Analysis of signal in segmented regions of interest was performed for both native and post-processed data. Two blinded chest radiologists rated image quality of perfusion- and ventilation-weighted images using a 3-point scale.ResultsReproducibility of signal between the two time points was very good with intra-class correlation coefficients of 0.98, 0.94 and 0.86 for native, perfusion- and ventilation-weighted images, respectively. Perfusion- and ventilation-weighted images were of overall good quality with proportions of diagnostic images of 87–95% and 69–75%, respectively. Lung signal decreased from posterior to anterior slices with image quality of ventilation-weighted images in anterior areas rated worse than in posterior or perfusion-weighted images. Inter- and intra-observer agreement of image quality was good for perfusion and ventilation.ConclusionsThe study demonstrates high reproducibility of ventilation- and perfusion-weighted FD lung MRI. |
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Keywords: | Lung Magnetic resonance imaging Perfusion Ventilation |
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