Computer Vision News - September 2020

Open Source Software 20 Similar to before, we can overlay the results of the resampled segmentation on top of the fixed MR image and we should find a result looking like the one below. The segmented sections correctly match the anatomies of the heart and this can be very useful for future applications (such as deep learning techniques) which require registered images and sets of imaging modalities with ground truth labels. Conclusion If you need a tool to visualise and analyse 3D medical images, 3D Slicer should well suit your needs in most cases. Here we specifically chose to review the landmark registration because we believe that the combination of registration tools and techniques to visualize both landmarks and images at the same time is among the best available. Besides having a wide set of pre-defined applications as discussed before, this software also includes the possibility for user customization. In the welcome window you can load python scripts through the Customize slicer button or manage new packages for additional applications through the Install slicer extensions . Once already working with a module, you can interact with the fixed programs by the Python interactor window available and found on the View menu. We highly suggest exploring 3D Slicer for many medical imaging applications and most of all to perform a user-guided landmark-based registration.