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Abstract #4458

Volume reconstruction and view synthesis from 2D projection MRI using 3D Gaussian Splatting

Ecrin Yagiz1, Bilal Tasdelen1, Nam G. Lee1, 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, volumetric, spiral projection

Motivation: Volumetric MRI often cannot be directly achieved because of contrast requirements, subject motion, etc. SPI provides a motion-robust 3D acquisition, and acceleration can be achieved with novel methods.

Goal(s): To reconstruct volumetric MR images from a sparse set of 2D projections.

Approach: We demonstrate an alternative novel method for volume synthesis using multiple spiral imaging projections based on 3D Gaussian Splatting, a recently developed method in computer vision for image and surface rendering from a sparse set of camera inputs.

Results: In the simulated noiseless case, this method is accurate and performs well with up to 8-fold undersampling, compared to fully-sampled gridding reconstruction.

Impact: We demonstrate a new approach for MRI volume synthesis based on multiple projections (e.g. spiral projection imaging), using noise-less neuroimaging simulations. This has the potential to enable shorter scans and/or better imaging in low signal-to-noise settings.

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Keywords