A learning‐based material decomposition pipeline for multi‐energy x‐ray imaging
Abstract
Purpose Benefiting from multi‐energy x‐ray imaging technology, material decomposition facilitates the characterization of different materials in x‐ray imaging. However, the performance of material decomposition is limited by the accuracy of the decomposition model. Due to the presence of nonideal effects in x‐ray imaging systems, it is difficult to explicitly build the imaging system models for material decomposition. As an alternative, this...
Paper Details
Title
A learning‐based material decomposition pipeline for multi‐energy x‐ray imaging
Published Date
Dec 24, 2018
Journal
Volume
46
Issue
2
Pages
689 - 703
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History