Convolutional neural networks based robust Denoising of Low-Dose Computed Tomography Perfusion maps
Matlab Codes* : (requires MatConvNet )
Data: Training data is generated using the tool digital-brain-perfusion-phantom
#Matlab code for generating the network architecture.
#Matlab code for Testing the trained network for Phantom data.
#Matlab codes for Online SPD (Comparision codes and preprocessing codes)
#Matlab codes for BM3D
Models for both temporal and map denoising can be accessed here: Link
Venkata S. Kadimesetty, Sreedevi Gutta, Sriram Ganapathy, and Phaneendra K. Yalavarthy Convolutional Neural Network based RobustDenoising of Low-Dose Computed Tomography Perfusion Maps,Accepted in IEEE TRPMS PDF
This Matlab code is used as part of the work presented in:
"Convolutional neural networks based robust Denoising of Low-Dose Computed Tomography Perfusion maps" Submitted to IEEE TRPMS
Updated on March 14, 2018.