Ultrasound Registration

Ultrasound registration aims to accurately align ultrasound images with other medical imaging modalities, such as MRI or CT, to improve diagnostic accuracy and guide interventions. Current research focuses on developing robust and efficient registration algorithms, often employing deep learning architectures like Swin UNETR and convolutional neural networks, to address challenges like organ motion and limited ultrasound image quality. These advancements are crucial for improving the precision of procedures such as tumor ablation and robotic surgery, ultimately leading to better patient outcomes and more efficient healthcare delivery.