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Abstract #5161

Feature Refinement Scheme for Improved STEP Parallel Imaging Reconstruction

Zechen Zhou1 and Chun Yuan2,3

1Philips Research China, Shanghai, People's Republic of China, 2Vascular Imaging Lab, Department of Radiology, University of Washington, WA, United States, 3Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, People's Republic of China

In this work, we incorporated the Feature Refinement (FR) scheme into the Self-supporting Tailored k-space Estimation for Parallel imaging reconstruction (STEP) image reconstruction framework to enhance its capability for structural representation in image domain, and developed a novel Weber Local Descriptor (WLD) method to improve the extraction of local image boundaries. With the preliminary experiments, it has been demonstrated that the improved STEP with WLD FR scheme can provide more accurate estimation of image details in comparison to original STEP and existing classic method.

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