Metamorphic Image Registration

Metamorphic image registration focuses on aligning images with significant appearance changes, such as those caused by tumors, where traditional methods struggle. Current research emphasizes deep learning approaches, often employing flow-based networks or incorporating learned segmentations to guide the registration process and mitigate the impact of appearance variations. These advancements improve the accuracy of image alignment in challenging medical scenarios, with potential applications in image-guided surgery and other clinical interventions requiring precise image registration despite significant anatomical differences. The ultimate goal is to develop robust and accurate registration methods for images with substantial inter-image variations.