Non-Rigid Volume Registration For DCE-MRI Using Deep Learning
In dynamically contrast enhanced magnetic resonance imaging (DCE-MRI) mul-tiple images are generated for a single scan. Before further analysis can be done,the images needs to be registered. Traditional registration techniques can yieldimpressive results, but are often very computationally expensive.In this thesis a neural network model using spatial transformer networks isproduced. This model aim