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Abstract #2662

Noise Reduction of 3D Fast Spin Echo Knee Imaging Using Fusion of Convolutional Neural Networks

Shutian Zhao1, Siyue Li1, Xiaorui Xu1, Chun Ki Franklin Au1, Huimin Zhang1, and Weitian Chen1
1CUHK lab of AI in radiology (CLAIR), Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, Hong Kong

3D FSE can be acquired with isotropic resolution and reformatted into an arbitrary plane for visualizing complex anatomic structures. However, image blurring can occur on short T2 tissues when long echo trains are used. Image deblurring may result in loss of signal-to-noise ratio (SNR). In this work, we proposed a fusion network based on CNNs to address this problem. We demonstrate this network has potential to suppress the noise and reserve structure details at the same time.

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