about
Dynamic MRI of grid-tagged hyperpolarized helium-3 for the assessment of lung motion during breathing.Scatter correction for cone-beam CT in radiation therapy.An adaptive MR-CT registration method for MRI-guided prostate cancer radiotherapy.Quality assurance of positron emission tomography/computed tomography for radiation therapy.Tissue feature-based and segmented deformable image registration for improved modeling of shear movement of lungs.Feature-based rectal contour propagation from planning CT to cone beam CT.Pulmonary nodule registration in serial CT scans based on rib anatomy and nodule template matching.Deformable image registration of CT and truncated cone-beam CT for adaptive radiation therapy.Spatially weighted mutual information image registration for image guided radiation therapy.Automated contour mapping using sparse volume sampling for 4D radiation therapy.Development and validation of automated 2D-3D bronchial airway matching to track changes in regional bronchial morphology using serial low-dose chest CT scans in children with chronic lung diseaseSegmentation of organs-at-risks in head and neck CT images using convolutional neural networks.CT image registration in sinogram space.Line-Enhanced Deformable Registration of Pulmonary Computed Tomography Images Before and After Radiation Therapy With Radiation-Induced Fibrosis.Deformable image registration with inclusion of autodetected homologous tissue features.Evaluation of the effects of sagging shifts on isocenter accuracy and image quality of cone‐beam CT from kV on‐board imagersAn algorithm to extract three‐dimensional motion by marker tracking in the kV projections from an on‐board imager: four‐dimensional cone‐beam CT and tumor tracking implications.
P2860
Q30434927-350DE498-A8E2-4EA7-A321-841BFC77FB5BQ33703313-F5B57E1E-C1C7-45E7-BDF4-B5BC5D6DD4D8Q35285438-C53D9243-0446-4060-BF9A-88955BA95872Q37011261-B1FA3E35-2A69-4E91-8AA1-EEF618B3AD27Q37301022-54A796C6-1B8C-4547-96EE-0F82B20E0911Q37330511-63716702-042E-48F9-A832-F22E04E227E1Q37342550-0B5EFDD8-C4F8-4530-AE5E-E0B58417B407Q37446561-B42891E0-B324-4657-AB29-96584422372BQ37801899-EE004DCD-474D-4093-8FAD-10C649C127F6Q39820295-EF910ACD-720F-426D-970D-B5728931A258Q42135350-823C97B3-E7EF-4CF8-B808-5BA9B461B9BCQ45986575-0D05C848-F5B4-4ED0-8EF2-78763B9DF7AFQ46221723-E4464806-966D-4AED-B657-81380A6D4427Q47561779-E133BA6A-C532-4CF4-AF07-10447226E05BQ51370556-DF4B0AB6-38A7-44BA-A62E-99D7059CC9E3Q54968870-9F4CEB5F-0B18-4AE0-AFA6-091A04684C81Q55092990-25B6EB94-4FC1-4E7C-A18A-5E3E10C2C631
P2860
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Image registration with auto-mapped control volumes.
@en
Image registration with auto-mapped control volumes.
@nl
type
label
Image registration with auto-mapped control volumes.
@en
Image registration with auto-mapped control volumes.
@nl
prefLabel
Image registration with auto-mapped control volumes.
@en
Image registration with auto-mapped control volumes.
@nl
P2860
P356
P1433
P1476
Image registration with auto-mapped control volumes.
@en
P2093
Eduard Schreibmann
P2860
P304
P356
10.1118/1.2184440
P407
P577
2006-04-01T00:00:00Z