output
20152026
most citedImage Domain Dual Material Decomposition for Dual-Energy CT using Butterfly Network

80 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing physics.med-phShow all

4 papers · 1 filter

physics.med-ph2018★ 80 cited

Image Domain Dual Material Decomposition for Dual-Energy CT using Butterfly Network

Wenkun Zhang, Hanming Zhang, Linyuan Wang +5

Dual-energy CT (DECT) has been increasingly used in imaging applications because of its capability for material differentiation. However, material decomposition suffers from magnif…

physics.med-ph2017★ 39 cited

Image-domain multi-material decomposition for dual-energy CT based on correlation and sparsity of material images

Qiaoqiao Ding, Tianye Niu, Xiaoqun Zhang +1

Dual energy CT (DECT) enhances tissue characterization because it can produce images of basis materials such as soft-tissue and bone. DECT is of great interest in applications to m…

physics.med-ph2016★ 57 cited

Using Edge-Preserving Algorithm with Non-local Mean for Significantly Improved Image-Domain Material Decomposition in Dual Energy CT

Wei Zhao, Tianye Niu, Lei Xing +6

Increased noise is a general concern for dual-energy material decomposition. Here, we develop an image-domain material decomposition algorithm for dual-energy CT (DECT) by incorpor…

physics.med-ph2015★ 2 cited

Energy Spectrum Extraction and Optimal Imaging via Dual-Energy Material Decomposition

Wei Zhao, Lu Wan, Bo Zhang +2

Inferior soft-tissue contrast resolution is a major limitation of current CT scanners. The aim of the study is to improve the contrast resolution of CT scanners using dual-energy a…