This study aims to generate T2-weighted fat suppression (T2 FS) magnetic resonance (MR) lumbar spine image from T1-weighted (T1-w) and T2-weighted (T2-w) images using fully convolutional neural networks. We trained our model that uses multimodal images (T1-w, and T2-w images) to generate synthetic T2FS images close to the acquired T2FS images. The results of our study show that our deep learning model can properly generate bone marrow edema of the vertebral bodies which significantly impact on diagnosis.
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