An Artificial Agent for Robust Image Registration

Understand

3-D image registration, which involves aligning two or more images, is a critical step in a variety of medical applications from diagnosis to therapy.

• Image registration is commonly performed by optimizing an image matching metric as a cost function.
• However, this task is challenging due to the non-convex nature of the matching metric over the plausible registration parameter space and insufficient approaches for a robust optimization.
• As a result, current approaches are often customized to a specific problem and sensitive to image quality and artifacts.