A computational method for calculating the dose, Linear Energy Transfer and Relative Biological Effectiveness of proton treatment planning and optimization.
A method of proton beam therapy using a single energy proton beam delivered at multiple angles to the tumor.
A single-frame, multi-exposure time optical method enabling accurate extraction of absolute speckle decorrelation time and optimized for recovery of absolute deep-tissue blood flow.
A rapid, radiation-free magnetic resonance imaging (MRI) method that simultaneously captures bone-selective (pseudo-CT) bone images and high-resolution T1- and T2-weighted soft-tissue images in a single, self-registered 3D scan.
A reconstruction algorithm based on a generative diffusion model for multi-coil, highly undersampled non-Cartesian MRI allowing drastic reduction of scan time
A machine learning technique that identifies biomarkers from neuroimaging data, allowing for identification and treatment of populations vulnerable to neurodegenerative diseases.
A radio frequency-based 3D imaging system that can generate LiDAR-comparable images with reduced power and processing needs.
A tissue-selective, biocompatible contrast agent enables the visual identification of tumors and tumor margins during procedures
Small molecules that bind to alpha-synuclein deposition and can be used for PET imagining in patients with synucleinopathies
AAR-DL (Automatic Anatomy Recognition – Deep Learning) is a hybrid intelligence recognition and delineation segmentation model that outputs automatically delineated organs in medical images by combining natural intelligence’s (i.e., human knowledge’s) and artificial intelligence's strengths to map organs and their boundaries in the given images.