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Abstract #1974

Improved CNN-based Image reconstruction using regularly under-sampled signal obtained in phase scrambling Fourier transform imaging

satoshi ITO1 and Shun UEMATSU1
1Utsunomiya University, Utsunomiya, Japan

It has been reported that a quadratic phase scrambling of the spin system in advance to Fourier encoding (PSFT) is effective to the improvement of image quality. In this paper, an CNN-based image reconstruction using PSFT signal was examined. Simulation studies showed that proposed method allows equi-spaced under-sampling and that preservation of structure and image contrast were improved compared to standard Fourier transform based CS-CNN or iterative image reconstruction method. These studies indicate that PSFT has the possibility to reconstruct higher quality images in deep learning image reconstruction as well as iterative reconstruction.

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