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Abstract #1876

Improving the spatial-temporal fidelity and resolution of dynamic MRI using complex-valued spatial-temporal super-resolution method

Duohua Sun1, Silu Han1, Laurel Dieckhaus1, Elizabeth Hutchinson1, and Nan-kuei Chen1
1The University of Arizona, Tucson, AZ, United States

Synopsis

Keywords: Image Reconstruction, Image Reconstruction

Motivation: To improve image quality and spatial-temporal resolution of T2*-weighted dynamic MRI in applications such as MRI-guided focused ultrasound surgery, resulting in more effective diagnostic and treatment outcomes.

Goal(s): Our goal is to present an innovative complex-valued spatial-temporal multi-band super-resolution technique, enhancing spatial-temporal resolution, signal-to-noise ratio (SNR) and minimizing susceptibility artifacts in T2*-weighted dynamic MRI.

Approach: We highlight the susceptibility artifact through a hybrid simulation and design a multi-band-super-resolution sequence. We perform an experiment on phantom and the acquired data is reconstructed using our proposed method.

Results: Hybrid simulation and reconstruction on phantom data demonstrate improvements in SNR, spatial-temporal-resolution, and reduction of susceptibility artifacts.

Impact: Conventional magnitude-based super-resolution reconstruction exhibits signal loss due to susceptibility effects. Our proposed method integrating phase in reconstruction shows an improvement in SNR, spatial-temporal resolution, and a reduction of susceptibility artifacts.

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Keywords