|
A Deep Neural Network based Corrector for Pulse Pileup Effect of Photon Counting Detectors
RPI ID: 2018-020-401 / 2018-020-601Innovation Summary:This invention introduces a neural network-based corrector for photon-counting computed tomography (PCCT) systems. Designed to address spectral distortions and detector non-linearities, the system processes raw photon data to generate corrected images with enhanced spectral fidelity and quantitative...
Published: 7/21/2025
|
Updated: 7/3/2025
|
Inventor(s): Ge Wang, Ruibin Feng, David Rundle
Keywords(s): deep learning, machine-learning, photon-counting Data
Category(s): Computational Science and Engineering
|
