Computational challenges for image-guided radiation therapy: framework and current research.
about
A nonvoxel-based dose convolution/superposition algorithm optimized for scalable GPU architectures.Image-based modeling of tumor shrinkage in head and neck radiation therapy.Dosimetric feasibility of real-time MRI-guided proton therapyScatter Reduction and Correction for Dual-Source Cone-Beam CT Using Prepatient GridsTissue 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.A neural network approach for fast, automated quantification of DIR performance.Lung surface deformation prediction from spirometry measurement and chest wall surface motion.Analytical modeling and feasibility study of a multi-GPU cloud-based server (MGCS) framework for non-voxel-based dose calculations.Algorithm and simulation for real-time positron emission based tumor tracking using a linear fiducial marker.Extracting fuzzy classification rules from texture segmented HRCT lung images.On-line adaptive radiation therapy: feasibility and clinical study.Evaluating the therapeutic dose distribution of intensity-modulated radiation therapy for head and neck with cone-beam computed tomography image: a methodological study.Combining scatter reduction and correction to improve image quality in cone-beam computed tomography (CBCT).Feasibility study of a synchronized-moving-grid (SMOG) system to improve image quality in cone-beam computed tomography (CBCT).Adaptive Radiotherapy for Head Neck Cancer.Novel multimodality segmentation using level sets and Jensen-Rényi divergence.The role of regularization in deformable image registration for head and neck adaptive radiotherapy.Accuracy quantification of a deformable image registration tool applied in a clinical setting.
P2860
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P2860
Computational challenges for image-guided radiation therapy: framework and current research.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Computational challenges for i ...... ramework and current research.
@en
type
label
Computational challenges for i ...... ramework and current research.
@en
prefLabel
Computational challenges for i ...... ramework and current research.
@en
P2093
P1476
Computational challenges for i ...... ramework and current research.
@en
P2093
Jeffrey Siebers
Paul Keall
P304
P356
10.1016/J.SEMRADONC.2007.07.004
P577
2007-10-01T00:00:00Z