Feasibility of online non-rigid motion correction for high-resolution supine breast MRI
Karyna Isaieva, Camille Meullenet, Pierre-André Vuissoz, Marc Fauvel, Lena Nohava, Elmar Laistler, Mohamed Aziz Zeroual, Philippe Henrot, Jacques Felblinger, Freddy Odille
Abstract
Purpose
Conventional breast MRI is performed in the prone position with a dedicated coil. This allows high-resolution images without breast motion, but the patient position is inconsistent with that of other breast imaging modalities or interventions. Supine breast MRI may be an interesting alternative, but respiratory motion becomes an issue. Motion correction methods have typically been performed offline, for instance, the corrected images were not directly accessible from the scanner console. In this work, we seek to show the feasibility of a fast, online, motion-corrected reconstruction integrated into the clinical workflow.
Methods
Fully sampled T2-weighted (T2w) and accelerated T1-weighted (T1w) breast supine MR images were acquired during free-breathing and were reconstructed using a non-rigid motion correction technique (generalized reconstruction by inversion of coupled systems). Online reconstruction was implemented using a dedicated system combining the MR raw data and respiratory signals from an external motion sensor. Reconstruction parameters were optimized on a parallel computing platform, and image quality was assessed by objective metrics and by radiologist scoring.
Results
Online reconstruction time was 2 to 2.5 min. The metrics and the scores related to the motion artifacts significantly improved for both T2w and T1w sequences. The overall quality of T2w images was approaching that of the prone images, whereas the quality of T1w images remained significantly lower.
Conclusion
The proposed online algorithm allows a noticeable reduction of motion artifacts and an improvement of the diagnostic quality for supine breast imaging with a clinically acceptable reconstruction time. These findings serve as a starting point for further development aimed at improving the quality of T1w images.