Automated contour mapping using sparse volume sampling for 4D radiation therapy.
about
MRI-based treatment planning with electron density information mapped from CT images: a preliminary study.Four-dimensional inverse treatment planning with inclusion of implanted fiducials in IMRT segmented fieldsEvolution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC).Adaptive radiotherapy for NSCLC patients: utilizing the principle of energy conservation to evaluate dose mapping operations.A measure to evaluate deformable registration fields in clinical settings.
P2860
Automated contour mapping using sparse volume sampling for 4D radiation therapy.
description
2007 nî lūn-bûn
@nan
2007年の論文
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2007年学术文章
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name
Automated contour mapping using sparse volume sampling for 4D radiation therapy.
@en
Automated contour mapping using sparse volume sampling for 4D radiation therapy.
@nl
type
label
Automated contour mapping using sparse volume sampling for 4D radiation therapy.
@en
Automated contour mapping using sparse volume sampling for 4D radiation therapy.
@nl
prefLabel
Automated contour mapping using sparse volume sampling for 4D radiation therapy.
@en
Automated contour mapping using sparse volume sampling for 4D radiation therapy.
@nl
P2093
P2860
P356
P1433
P1476
Automated contour mapping using sparse volume sampling for 4D radiation therapy.
@en
P2093
Eduard Schreibmann
Nicole Wink
Tianfang Li
P2860
P304
P356
10.1118/1.2780105
P407
P577
2007-10-01T00:00:00Z