Estimating the 4D respiratory lung motion by spatiotemporal registration and super-resolution image reconstruction.
about
LROC Investigation of Three Strategies for Reducing the Impact of Respiratory Motion on the Detection of Solitary Pulmonary Nodules in SPECT.Tensor-based dictionary learning for dynamic tomographic reconstructionLung motion estimation using dynamic point shifting: An innovative model based on a robust point matching algorithm.Investigating the minimum scan parameters required to generate free-breathing motion artefact-free fast-helical CT.Contour propagation using non-uniform cubic B-splines for lung tumor delineation in 4D-CT.
P2860
Estimating the 4D respiratory lung motion by spatiotemporal registration and super-resolution image reconstruction.
description
2013 nî lūn-bûn
@nan
2013 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի մարտին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Estimating the 4D respiratory ...... solution image reconstruction.
@ast
Estimating the 4D respiratory ...... solution image reconstruction.
@en
type
label
Estimating the 4D respiratory ...... solution image reconstruction.
@ast
Estimating the 4D respiratory ...... solution image reconstruction.
@en
prefLabel
Estimating the 4D respiratory ...... solution image reconstruction.
@ast
Estimating the 4D respiratory ...... solution image reconstruction.
@en
P2093
P2860
P356
P1433
P1476
Estimating the 4D respiratory ...... solution image reconstruction.
@en
P2093
P2860
P304
P356
10.1118/1.4790689
P407
P577
2013-03-01T00:00:00Z