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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