Using Neural Networks for Faster X-Ray Imaging

摘要

Scientists have demonstrated the use of artificial intelligence (AI) to speed up the process of reconstructing images from coherent X-ray scattering data. Traditional X-ray imaging techniques (like medical X-ray images) are limited in the amount of detail they can provide. This has led to the development of coherent X-ray imaging methods that are capable of providing images from deep within materials at a few nanometer resolution or less. These techniques generate X-ray images without the need for lenses by diffracting or scattering the beam off of samples and directly onto detectors. The data captured by those detectors has all the information needed to reconstruct high-fidelity images and computational scientists can do this with advanced algorithms. These images can then help scientists design better batteries, build more durable materials, and develop better medications and treatments for diseases.