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Abstract #1248

Dynamic Mode Decomposition enables low-latency high temporal resolution reconstruction for golden-angle spiral real-time MRI

Ecrin Yagiz1, Ibrahim K. Ozaslan1, Bilal Tasdelen1, Mihailo R. Jovanovic1, Ye Tian1, and Krishna S Nayak1
1Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States

Synopsis

Keywords: Image Reconstruction, Cardiovascular, fetal, low-field, online reconstruction

Motivation: Real-time MRI methods with higher spatiotemporal resolution employ undersampled non-Cartesian trajectories combined with a computationally intense reconstruction to mitigate aliasing. However, often, a low-latency, coarse-temporal resolution, low-quality reconstruction is provided online. This may hinder the scan quality in interventional and fetal imaging.

Goal(s): To develop a low-latency, high-temporal resolution online reconstruction for real-time MRI.

Approach: We introduce a novel method using Dynamic Mode Decomposition for low-latency, high-temporal resolution reconstruction that removes spiral aliasing. The online version is achieved by predicting and removing aliasing artifacts in upcoming frames.

Results: We evaluate DMD Filtering in the context of real-time adult and fetal cardiac function assessment.

Impact: The proposed technique, Dynamic Mode Decomposition filtering, achieves low-latency (<20ms/frame), high-temporal resolution reconstruction with negligible spiral aliasing artifact, and no iterations. This may be valuable for online reconstruction during interventional and fetal cardiac imaging.

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Keywords