Healthcare is big part of the national economy. Medical Imaging has emerged over the past several decades as a critical diagnosis and therapeutic tool. However, the metrology in these tools is not tied to the SI system of units.
From a technical perspective, medical imaging generates very large data sets. AI systems, based on Deep Learning (DL), have emerged as key computational approaches for the quantitative analysis of these images.
The goal of the project is to initiate the development of the metrology and standards infrastructure to ensure that medical DL-based systems are (1) trained on validated physics-based data and (2) provide reliability, accuracy, and explainability.
The project is proceeding in three directions.