Abstract #5527

Increasing Arterial Spin Labeling Perfusion Image Resolution Using Convolutional Neural Networks with Residual-Learning

Qingping Liu¹, Jun Shi¹, and Ze Wang²

¹Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China, ²Temple University, Philadelphia, PA, United States

A common problem in arterial spin labeling (ASL) perfusion MRI is the relatively low spatial resolution and subsequently the partial volume effects. We evaluated a new deep learning-based super-resolution algorithm for solving that problem. The algorithm successively produced higher resolution ASL cerebral blood flow image from low resolution data, which even outperformed an existing super-resolution method.

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