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Abstract #3803

Feasibility test of non-iterative reconstruction for high spatiotemporal resolution DCE

Zhifeng Chen 1 , Ming Yang 2 , Liyi Kang 3 , Ling Xia 3 , and Feng Liu 4

1 Zhejiang University, Hangzhou, Zhejiang, China, 2 Philips Healthcare, Jiangsu, China, 3 Zhejiang University, Zhejiang, China, 4 The University of Queensland, Queensland, Australia

DCE-MRI has been widely used for diagnosis of liver diseases like hepatic cirrhosis, tumor, etc. Now the existing DCE-MRI reconstruction algorithms such as iGRASP and L+S mainly focus on iteratively minimize the energy equation combine parallel imaging and sparsity penalties. The iterative reconstruction schemes require a lot of computational cost. The expensive computation has impeded the clinical application. We investigate a non-iterative scheme with separating parallel imaging and denoising operator in this abstract. Our non-iterative parallel imaging and image denoising reconstruction can result in comparable image quality to iterative schemes with greatly reduced time cost. The scheme improves the clinical applicability of high spatiotemporal resolution DCE.

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