Publication
Title
Fast X-ray computed tomography via image completion
Author
Abstract
Reconstructing adequate Computed Tomography (CT) images from very few X-ray projections is a hot topic in many applications. Such technology would lead to a new generation of much faster X-ray CT scanners. We propose a solution that uses a training set of conventionally reconstructed CT images to predict the interior of a target object given a fast reconstruction from very few X-ray projections. We claim that such prediction can be of sufficient quality to be used in applications that requires a high throughput.
Language
English
Source (journal)
Online e-journal of nondestructive testing. - -
Source (book)
6th Conference on Industrial Computed Tomography (iCT2016), Wels, Austria
Publication
2016
ISSN
1435-4934
Volume/pages
(2016) , 5 p.
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identifier
Creation 04.10.2017
Last edited 22.08.2023
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