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Abstract #3431

Resolution translation for GRE using super-resolution network

Juhyung Park1, Joonhyeok Yoon1, Minjun Kim1, Byeongpil Moon1, and Jongho Lee1
1Seoul National University, Seoul, Korea, Republic of

Synopsis

Keywords: Susceptibility/QSM, Quantitative Susceptibility mapping

Motivation: SWI is a widely acquired protocol in clinic and often acquired in an anisotropic resolution (i.e., 0.5×0.5×2 mm3). Whereas QSM, which has been attracting utilities, has been recommended to acquire in 1 mm isotropic resolution.

Goal(s): This study is aimed to propose a resolution translation method so that SWI data can be transformed to QSM reconstruction.

Approach: A super-resolution network was designed to transform complex GRE data, exploiting high in-plane resolution information while sustaining down-sampling consistency.

Results: The proposed method successfully generated high-quality isotropic resolution data for QSM from anisotropic SWI data.

Impact: The proposed resolution translation successfully generated high-quality complex GRE images for the isotropic resolution, resulting in high-quality QSM, outperforming the conventional approaches.

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Keywords