Affine Registration

Affine registration is a crucial image processing technique aiming to align two images by applying a linear transformation, serving as a foundational step in many medical image analysis pipelines. Current research emphasizes developing faster and more robust affine registration methods, often employing deep learning architectures like convolutional neural networks and vision transformers, sometimes integrated with coarse-to-fine strategies or incorporating anatomical landmarks for improved accuracy. These advancements are improving the speed and reliability of image alignment across diverse modalities and applications, leading to more accurate diagnoses and treatment planning in medical imaging.