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Performance of commercially available deformable image registration platforms for contour propagation using patient‐based computational phantoms: A multi‐institutional study
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/mp.12256openalex-snapshot
Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No. 132
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Implementation and validation of a three-dimensional deformable registration algorithm for targeted prostate cancer radiotherapy
inferredcites →https://doi.org/10.1016/j.ijrobp.2006.05.035openalex-snapshot
Prospective comparison of computed tomography and magnetic resonance imaging for liver cancer delineation using deformable image registration
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Automatic Delineation of On-Line Head-And-Neck Computed Tomography Images: Toward On-Line Adaptive Radiotherapy
inferredcites →https://doi.org/10.1016/j.ijrobp.2009.06.031openalex-snapshot
Results of a Multi-Institution Deformable Registration Accuracy Study (MIDRAS)
inferredcites →https://doi.org/10.1016/j.ijrobp.2010.07.009openalex-snapshot
Clinical Validation of Atlas-Based Auto-Segmentation of Multiple Target Volumes and Normal Tissue (Swallowing/Mastication) Structures in the Head and Neck
inferredcites →https://doi.org/10.1016/j.ijrobp.2011.07.037openalex-snapshot
Evaluation of Deformable Image Coregistration in Adaptive Dose Painting by Numbers for Head-and-Neck Cancer
inferredcites →https://doi.org/10.1016/j.ijrobp.2013.05.045openalex-snapshot
On the Need for Comprehensive Validation of Deformable Image Registration, Investigated With a Novel 3-Dimensional Deformable Dosimeter
inferredcites →https://doi.org/10.1016/j.ijrobp.2016.05.012openalex-snapshot
Multi-institutional Validation Study of Commercially Available Deformable Image Registration Software for Thoracic Images
inferredcites →https://doi.org/10.1016/j.media.2006.09.002openalex-snapshot
Automatic elastic image registration by interpolation of 3D rotations and translations from discrete rigid-body transformations
inferredcites →https://doi.org/10.1016/j.neuroimage.2003.11.010openalex-snapshot
Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains
inferredcites →https://doi.org/10.1016/s1076-6332(03)00671-8openalex-snapshot
Statistical validation of image segmentation quality based on a spatial overlap index1
inferredcites →https://doi.org/10.1016/s1361-8415(98)80022-4openalex-snapshot
Image matching as a diffusion process: an analogy with Maxwell's demons
inferredcites →https://doi.org/10.1088/0031-9155/50/3/005openalex-snapshot
Validation of contour-driven thin-plate splines for tracking fraction-to-fraction changes in anatomy and radiation therapy dose mapping
inferredcites →https://doi.org/10.1088/0031-9155/54/7/001openalex-snapshot
A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets
inferredcites →https://doi.org/10.1088/0031-9155/55/21/010openalex-snapshot
Biomechanical-based image registration for head and neck radiation treatment
inferredcites →https://doi.org/10.1088/0031-9155/57/6/1477openalex-snapshot
Analytic regularization for landmark-based image registration
inferredcites →https://doi.org/10.1109/tmi.2002.808367openalex-snapshot
Validation of nonrigid image registration using finite-element methods: application to breast MR images
inferredcites →https://doi.org/10.1109/tmi.2007.892646openalex-snapshot
Statistical Properties of Jacobian Maps and the Realization of Unbiased Large-Deformation Nonlinear Image Registration
inferredcites →https://doi.org/10.1118/1.1803671openalex-snapshot
Mutual information based CT registration of the lung at exhale and inhale breathing states using thin‐plate splines
inferredcites →https://doi.org/10.1118/1.1915012openalex-snapshot
Accuracy of finite element model‐based multi‐organ deformable image registration
inferredcites →https://doi.org/10.1118/1.2103428openalex-snapshot
Preliminary study on the use of nonrigid registration for thoraco‐abdominal radiosurgery
inferredcites →https://doi.org/10.1118/1.2740467openalex-snapshot
Automatic segmentation of phase‐correlated CT scans through nonrigid image registration using geometrically regularized free‐form deformation
inferredcites →https://doi.org/10.1118/1.3013563openalex-snapshot
Objective assessment of deformable image registration in radiotherapy: A multi‐institution study
inferredcites →https://doi.org/10.1118/1.3134242openalex-snapshot
A novel flexible framework with automatic feature correspondence optimization for nonrigid registration in radiotherapy
inferredcites →https://doi.org/10.1118/1.3302141openalex-snapshot
Analysis of deformable image registration accuracy using computational modeling
inferredcites →https://doi.org/10.1118/1.3302916openalex-snapshot
Three‐dimensional quantitative evaluation method of nonrigid registration algorithms for adaptive radiotherapy
inferredcites →https://doi.org/10.1118/1.3468142openalex-snapshot
SU-GG-I-109: A Quantitative Evaluation of Velocity AI Deformable Image Registration
inferredcites →https://doi.org/10.1118/1.3572228openalex-snapshot
A distance to dose difference tool for estimating the required spatial accuracy of a displacement vector field
inferredcites →https://doi.org/10.1118/1.3597881openalex-snapshot
A two‐dimensional deformable phantom for quantitatively verifying deformation algorithms
inferredcites →https://doi.org/10.1118/1.3666948openalex-snapshot
On the dosimetric effect and reduction of inverse consistency and transitivity errors in deformable image registration for dose accumulation
inferredcites →https://doi.org/10.1118/1.4722968openalex-snapshot
It is not appropriate to “deform” dose along with deformable image registration in adaptive radiotherapy
inferredcites →https://doi.org/10.1118/1.4736534openalex-snapshot
Is it sensible to “deform” dose? 3D experimental validation of dose‐warping
inferredcites →https://doi.org/10.1118/1.4769114openalex-snapshot
The need for application‐based adaptation of deformable image registration
inferredcites →https://doi.org/10.1118/1.4793723openalex-snapshot
Site‐specific deformable imaging registration algorithm selection using patient‐based simulated deformations
inferredcites →https://doi.org/10.1118/1.4888251openalex-snapshot
SU‐E‐J‐198: Evaluation of a Free‐Form Intensity‐Based Deformable Registration Method Using the POPI Model
inferredcites →https://doi.org/10.1118/1.4894702openalex-snapshot
The ANACONDA algorithm for deformable image registration in radiotherapy
inferredcites →https://doi.org/10.1118/1.4905050openalex-snapshot
Toward adaptive radiotherapy for head and neck patients: Uncertainties in dose warping due to the choice of deformable registration algorithm
inferredcites →https://doi.org/10.1120/jacmp.v14i1.4066openalex-snapshot
A framework for deformable image registration validation in radiotherapy clinical applications
inferredcites →https://doi.org/10.1186/1756-6649-13-2openalex-snapshot
Dose mapping sensitivity to deformable registration uncertainties in fractionated radiotherapy – applied to prostate proton treatments
inferredcites →https://doi.org/10.1259/bjr/27674581openalex-snapshot
A novel algorithm for the morphometric assessment of radiotherapy treatment planning volumes
inferredcites →https://doi.org/10.2307/1932409openalex-snapshot
Measures of the Amount of Ecologic Association Between Species
inferredcites →https://doi.org/10.2307/2530193openalex-snapshot
Statistical Methods for Rates and Proportions.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Variability in commercially available deformable image registration: A multi‐institution analysis using virtual head and neck phantoms
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Use of a DVH overlay technique for quality assurance of deformable image registration‐based dose accumulation
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Multimodality Image Fusion of the Liver Using Structure-Guided Deformable Image Registration in Velocity AI—What Is the Preferred Approach?
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Clinical implementation of a rotating pod for lung tumor in fixed ion beamlines
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A Patient-Specific Autosegmentation Strategy Using Multi-Input Deformable Image Registration for Magnetic Resonance Imaging–Guided Online Adaptive Radiation Therapy: A Feasibility Study
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Evaluation of a delineation software for cardiac atlas-based autosegmentation: An example of the use of artificial intelligence in modern radiotherapy
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Impact of the method chosen for the analysis of recurrences after radiotherapy for head and neck cancers: volume-based, point-based and combined methods
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Influence of different urinary bladder filling levels and controlling regions of interest selection on deformable image registration algorithms
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Accuracy of target delineation by positron emission tomography-based auto-segmentation methods after deformable image registration: A phantom study
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Assessment of the use of synthetic CT produced by deformable image registration of planning CT and CBCT in adaptive radiotherapy treatments of head and neck cancers
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Machine learning prediction of Dice similarity coefficient for validation of deformable image registration
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Assessment of contour accuracy in head and neck replanning: Deep learning trained model compared with deformable image registration propagation technique
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Patient specific deep learning based segmentation for magnetic resonance guided prostate radiotherapy
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Inverse consistency error for validating deformable image registration: an explorative study on computational phantoms
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Computed Tomography to Cone Beam Computed Tomography Deformable Image Registration for Contour Propagation Using Head and Neck, Patient-Based Computational Phantoms: A Multicenter Study
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Rigid and Deformable Image Registration for Radiation Therapy: A Self-Study Evaluation Guide for NRG Oncology Clinical Trial Participation
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Benchmarking of Deformable Image Registration for Multiple Anatomic Sites Using Digital Data Sets With Ground-Truth Deformation Vector Fields
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Additional file 1 of Atlas-based auto-segmentation for postoperative radiotherapy planning in endometrial and cervical cancers
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Additional file 2 of Atlas-based auto-segmentation for postoperative radiotherapy planning in endometrial and cervical cancers
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