RMSim: Controlled respiratory motion simulation on static patient scans

Authors

Lee, Donghoon

Yorke, Ellen

Zarepisheh, Masoud

Nadeem, Saad

1 more author(s)...

Description

Description from Zenodo: "Objective. This work aims to generate realistic anatomical deformations from static patient scans. Specifically, we present a method to generate these deformations/augmentations via deep learning driven respiratory motion simulation that provides the ground truth for validating deformable image registration (DIR) algorithms and driving more accurate deep learning based...

Subject

Algorithms

Computer Simulation

Image Processing, Computer-Assisted

Respiration

Access Rights

Free to All