Transcranial Ultrasound

Transcranial ultrasound uses sound waves to non-invasively treat brain conditions, aiming to improve targeting accuracy and reduce reliance on ionizing radiation. Current research focuses on improving image reconstruction techniques, particularly using machine learning models like generative adversarial networks (GANs) and Gaussian process regression to create synthetic CT scans from readily available MRI data, thereby reducing the need for potentially harmful CT scans. These advancements are significant because they promise faster, safer, and more personalized treatment planning for various neurological disorders, including brain tumors and movement disorders.