Abstract #3231

Super Slice Interpolation (SSI) from Parallel MRI Data

Yanqiu Feng^1,2,3, Mengye Lyn^1,2, Yilong Liu^1,2, Victor X Bin^1,2, and Ed X Wu^1,2

¹Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China, People's Republic of, ²Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China, People's Republic of, ³School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China, People's Republic of

This work develops a novel super slice interpolation (SSI) method that exploits sensitivity variation along the slice direction to decrease slice thickness in multi-slice MRI. The phantom and in vivo head imaging results demonstrate that SSI successfully generates thinner slice images from a set of thick images acquired with multiple receiver coils, without the need of modifying pulse sequences. The proposed SSI method has potential to obtain more slices with decreased thickness in scenarios where acquisition window or specific absorption rate limits the available number of slices.

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