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Abstract #0030

Online spatiotemporally constrained reconstruction for real-time interactive MRI

Duc H Le1, Prakash Kumar1, Ecrin Yagiz1, Ye Tian1, and Krishna S Nayak1
1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States

Synopsis

Keywords: Image Reconstruction, Image Reconstruction

Motivation: Real-time interactive MRI is extremely useful during localization of moving structures and guidance of interventional procedures. View-sharing is currently used but presents an unfavorable tradeoff between aliasing artifacts and temporal resolution.

Goal(s): To develop a low latency reconstruction that provides the spatial and temporal fidelity comparable to offline compressed sensing reconstruction.

Approach: We implement online spatiotemporally constrained reconstruction (STCR) using a computationally efficient Augmented Lagrangian solution that terminates before the acquisition of the next frame.

Results: Online STCR removes aliasing artifacts and has superior temporal definition compared to view-sharing and comparable to offline STCR.

Impact: We demonstrate low-latency reconstruction for 2D real-time MRI with spatial resolution 1.5/2.25mm2, temporal resolution 25.2/31.8ms, and FOV 240×240/320×320mm, improving visual recognition of rapidly moving boundaries.

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Keywords