Compensating Sparse-view Inline Computed Tomography Artifacts with Neural Representation and Incremental Forward-Backward Network Architecture

Compensating Sparse-view Inline Computed Tomography Artifacts with Neural Representation and Incremental Forward-Backward Network Architecture

Sparse-view computed tomography (CT) is appealing for inline industrial quality control because it can significantly reduce scan acquisition times compared to full-view CT of 1-2 hours to a few minutes. This allows sparse view CT to be used in inline process manufacturing for 100% inspection of eve...

Full description

Saved in:
Bibliographic Details
Main Authors: Manuel Buchfink, Faizan Ahmad, Guangpu Yang, Ammar Alsaffar, Charles Clark, Ahmed Baraka, Xingyu Liu, Sven Simon
Format: Article
Language:deu
Published: NDT.net 2025-02-01
Series:e-Journal of Nondestructive Testing
Online Access:https://www.ndt.net/search/docs.php3?id=30720
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items