Computed tomography (CT) is a method for creating a 3D image of a sample. It proceeds by computationally combining many projection images (e.g., the X-ray image a doctor might take of a broken bone), taken from different angles. In some applications, a full 180° view of the object is not feasible. In the last decade, iterative procedures which exploit sparsity have been used for limited angle CT reconstructions. In this project, the student will apply a dictionary learning algorithm for limited angle CT to exploit redundancies in the measurements. Good Matlab skills are required for this project. For further details, don’t hesitate to send a mail.