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.