PIDNET: Polar Transformation Based Implicit Disentanglement Network for Truncation Artifacts

PIDNET: Polar Transformation Based Implicit Disentanglement Network for Truncation Artifacts

The interior problem, a persistent ill-posed challenge in CT imaging, gives rise to truncation artifacts capable of distorting CT values, thereby significantly impacting clinical diagnoses. Traditional methods have long struggled to effectively solve this issue until the advent of supervised models...

Full description

Bibliographic Details
Main Authors: Guang Li, Xinhai Huang, Xinyu Huang, Yuan Zong, Shouhua Luo
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Entropy
Subjects:
CT imaging
truncation artifacts
unsupervised model
disentanglement
Online Access:https://www.mdpi.com/1099-4300/26/2/101

Internet

https://www.mdpi.com/1099-4300/26/2/101

Similar Items