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Improvement of multislice oxygen-enhanced MRI of the lung by fully automatic non-rigid image registration
Authors:Molinari Francesco  Bauman Grzegorz  Paolantonio Guglielmo  Geisler Tobias  Geiger Bernhard  Bonomo Lorenzo  Kauczor Hans-Ulrich  Puderbach Michael
Institution:Department of Bioimaging and Radiological Sciences, Catholic University of Rome, Italy. francescomolinari.dr@gmail.com
Abstract:

Purpose

In oxygen-enhanced magnetic resonance imaging of the lung (O2-MRI), motion artifacts related to breathing hamper the quality of the parametric O2-maps. In this study, fully automatic non-rigid image registration was assessed as a post-processing method to improve the quality of O2-MRI.

Materials and methods

Twenty healthy volunteers were investigated on a 1.5 T MR system. O2-MRI was obtained in four coronal sections using an IR-HASTE sequence with TE/TI of 12/1200 ms. Each section was repeatedly imaged during oxygen and room-air ventilation. Spatial differences among the images were corrected by fully automatic non-rigid registration. Signal variability, relative enhancement ratio between oxygen and room air images, and spatial heterogeneity of lung enhancement were assessed before and after image registration.

Results

Motion artifacts were corrected in 5–10 s. Non-rigid registration reduced signal variability of the source images and heterogeneity of the O2-maps by 1.1 ± 0.2% and 11.2 ± 2.9%, respectively (p < 0.0001). Registration did not influence O2 relative enhancement ratio (p = 0.06).

Conclusion

Fully automatic non-rigid image registration improves the quality of multislice oxygen-enhanced MRI of the lung.
Keywords:Lung  Magnetic resonance imaging  Oxygen  Image processing
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