Keywords: Image Reconstruction, BrainWe evaluate image quality in brain MR images with pathology, reconstructed by a deep learning-based image reconstruction algorithm. We have two main contributions: 1) a procedure for evaluating the image reconstruction quality of images, both globally and in patches with labelled pathology, and 2) report quantitative differences between two groups of reconstructed images (abnormal vs. normal). The pathology evaluation results find pathology regions have more losses and lower structural similarity when compared to normal patches and entire normal brains.
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