Acquisition, Reconstruction and Medical Imaging

Objectives

The goal of this course is to understand the principles of 2D/3D imaging, from physics and acquisition to image reconstruction, analysis, and visualization. It gives an overview of several imaging modalities and it is exemplified through a variety of application fields (medical, astrophysical, remote-sensing,…). The students will learn how to implement a processing chain from the physical acquisition of data to the visualisation and analysis of images. They will also understand the specificities of stereoscopic, volumetric and surfacic 3D images.

 The goal is also to learn to design regularised methods and implement stable and guaranteed algorithms for imaging, inverse problems and deconvolution in particular. Familiarize with statistical learning approaches, particularly those based on diffusion models. Develop knowledge of the context of imaging for industrial control, physics, astronomy, medicine, etc. On completion, students are to be able to develop innovative solutions in these domains, using traditional and modern AI approaches in a sustainable and controlled manner. They are able to use these standard tools but have sufficiently in-depth knowledge to be able to upgrade these tools further.

More information about this course is available HERE.