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- W4385544197 abstract "Deep learning MR super-resolution (SR) is a promising approach to reduce scan time without requiring custom sequences and iterative reconstruction. However, previous SR approaches are incompatible with turbo spin echo (TSE) sequence due to differences in T2 blurring effects between high-resolution and low-resolution TSE images. Here we propose a T2-deblurred deep learning SR model for 3x3 in-plane super-resolution of 3D TSE images. Our method accelerated scanning by 9x in both retrospective and prospective testing and provided better image quality than previous SR methods." @default.
- W4385544197 created "2023-08-04" @default.
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- W4385544197 date "2023-08-03" @default.
- W4385544197 modified "2023-09-27" @default.
- W4385544197 title "T2-deblurred deep learning super-resolution for turbo spin echo MRI" @default.
- W4385544197 doi "https://doi.org/10.58530/2022/0302" @default.
- W4385544197 hasPublicationYear "2023" @default.
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