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Abstract #1790

3D volume reconstruction from three orthogonal multi-slice 2D images using a super-resolution network

Xue Feng1, Huitong Pan2, Li Zhao3, and Craig H. Meyer1
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Springbok, Inc., Charlottesville, VA, United States, 3Children's National Health System, Washington DC, DC, United States

High-resolution 3D MRI can provide detailed anatomical information and is favorable for accurate quantitative analysis. However, due to the limited data acquisition time and other physical constraints such as breath-holding, multi-slice 2D images are often acquired. The 2D images usually have a larger slice thickness than the in-plane resolution. To reconstruct the high- resolution 3D MRI, we propose to use a super-resolution network with three orthogonal multi-slice 2D images as the input. We validated the proposed method on brain MRIs and achieved good results in terms of mean absolute difference, mean squared difference and image details with visual inspection.

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