Hybrid-Domain Neural Network Processing for Sparse-View CT Reconstruction

Volume: 5, Issue: 1, Pages: 88 - 98
Published: Jan 1, 2021
Abstract
X-ray computed tomography (CT) is one of the most widely used tools in medical imaging, industrial nondestructive testing, lesion detection, and other applications. However, decreasing the projection number to lower the X-ray radiation dose usually leads to severe streak artifacts. To improve the quality of the images reconstructed from sparse-view projection data, we developed a hybrid-domain neural network (HDNet) processing for sparse-view CT...
Paper Details
Title
Hybrid-Domain Neural Network Processing for Sparse-View CT Reconstruction
Published Date
Jan 1, 2021
Journal
Volume
5
Issue
1
Pages
88 - 98
Citation AnalysisPro
  • 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.