Tumour delineation and cumulative dose computation in radiotherapy based on deformable registration of respiratory correlated CT images of lung cancer patients.
about
Improving radiotherapy planning, delivery accuracy, and normal tissue sparing using cutting edge technologiesCharacterization of tumor heterogeneity using dynamic contrast enhanced CT and FDG-PET in non-small cell lung cancerA novel flexible framework with automatic feature correspondence optimization for nonrigid registration in radiotherapy.Computer input devices: neutral party or source of significant error in manual lesion segmentation?Validation of an elastic registration technique to estimate anatomical lung modification in non-small-cell lung cancer tomotherapy.A framework for deformable image registration validation in radiotherapy clinical applicationsDynamic CT imaging of volumetric changes in pulmonary nodules correlates with physical measurements of stiffness.A framework based on Hidden Markov Trees for multimodal PET/CT image co-segmentation.High performance computing for deformable image registration: Towards a new paradigm in adaptive radiotherapy.A method to map errors in the deformable registration of 4DCT imagesa).Validating Dose Uncertainty Estimates Produced by AUTODIRECT: An Automated Program to Evaluate Deformable Image Registration Accuracy.Diffeomorphic registration of images with variable contrast enhancement.Validation of deformable registration in head and neck cancer using analysis of varianceTechnical note: DIRART--A software suite for deformable image registration and adaptive radiotherapy research.Accuracy of deformable image registration for contour propagation in adaptive lung radiotherapy.A simplified method of four-dimensional dose accumulation using the mean patient density representation.Evaluation of nonrigid registration models for interfraction dose accumulation in radiotherapy.Optimization of couch translational corrections to compensate for rotational and deformable target deviations in image guided radiotherapy.The relative accuracy of 4D dose accumulation for lung radiotherapy using rigid dose projection versus dose recalculation on every breathing phase.Neural-network based autocontouring algorithm for intrafractional lung-tumor tracking using Linac-MR.A measure to evaluate deformable registration fields in clinical settings.Validation of nonrigid registration in pretreatment and follow-up PET/CT scans for quantification of tumor residue in lung cancer patients.Analysis of the setup errors of medical image registration-based cone-beam CT for lung cancer.Assessment of tumor motion reproducibility with audio-visual coaching through successive 4D CT sessions.A framework for deformable image registration validation in radiotherapy clinical applications.
P2860
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P2860
Tumour delineation and cumulative dose computation in radiotherapy based on deformable registration of respiratory correlated CT images of lung cancer patients.
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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2007年学术文章
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2007年学术文章
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2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
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2007年學術文章
@yue
2007年學術文章
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name
Tumour delineation and cumulat ...... mages of lung cancer patients.
@en
Tumour delineation and cumulat ...... mages of lung cancer patients.
@nl
type
label
Tumour delineation and cumulat ...... mages of lung cancer patients.
@en
Tumour delineation and cumulat ...... mages of lung cancer patients.
@nl
prefLabel
Tumour delineation and cumulat ...... mages of lung cancer patients.
@en
Tumour delineation and cumulat ...... mages of lung cancer patients.
@nl
P2093
P50
P1476
Tumour delineation and cumulat ...... mages of lung cancer patients.
@en
P2093
Benoit Macq
Geert Bosmans
Jeroen Buijsen
Jonathan Orban de Xivry
Mathieu De Craene
Philippe Lambin
P304
P356
10.1016/J.RADONC.2007.08.012
P577
2007-10-23T00:00:00Z