Cargando…

Variability in commercially available deformable image registration: A multi‐institution analysis using virtual head and neck phantoms

PURPOSE: The purpose of this study was to evaluate the performance of three common deformable image registration (DIR) packages across algorithms and institutions. METHODS AND MATERIALS: The Deformable Image Registration Evaluation Project (DIREP) provides ten virtual phantoms derived from computed...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kubli, Alex, Pukala, Jason, Shah, Amish P., Kelly, Patrick, Langen, Katja M., Bova, Frank J., Mañon, Rafael R., Meeks, Sanford L.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2021
Materias:	Radiation Oncology Physics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130225/ https://www.ncbi.nlm.nih.gov/pubmed/33783960 http://dx.doi.org/10.1002/acm2.13242

Ejemplares similares

Benchmarking of five commercial deformable image registration algorithms for head and neck patients
por: Pukala, Jason, et al.
Publicado: (2016)

Assessment of a commercially available automatic deformable registration system
por: Fallone, B. Gino, et al.
Publicado: (2010)

Validation of accuracy deformable image registration contour propagation using a benchmark virtual HN phantom dataset
por: Boyd, Robert, et al.
Publicado: (2021)

Impact of CT scan parameters on deformable image registration accuracy using deformable thorax phantom
por: Ikeda, Ryutaro, et al.
Publicado: (2023)

Characterization of a new physical phantom for testing rigid and deformable image registration
por: Wu, Richard Y., et al.
Publicado: (2018)

Using patient‐specific phantoms to evaluate deformable image registration algorithms for adaptive radiation therapy
por: Stanley, Nick, et al.
Publicado: (2013)

Quantifying the accuracy of deformable image registration for cone‐beam computed tomography with a physical phantom
por: Wu, Richard Y., et al.
Publicado: (2019)

Commissioning an in‐room mobile CT for adaptive proton therapy with a compact proton system
por: Oliver, Jasmine A., et al.
Publicado: (2018)

Dosimetric impact of deformable image registration using radiophotoluminescent glass dosimeters with a physical geometric phantom
por: Sakulsingharoj, Siwaporn, et al.
Publicado: (2023)

The Mobius AIRO mobile CT for image‐guided proton therapy: Characterization & commissioning
por: Oliver, Jasmine A., et al.
Publicado: (2017)

Development of a physical geometric phantom for deformable image registration credentialing of radiotherapy centers for a clinical trial
por: Kadoya, Noriyuki, et al.
Publicado: (2021)

Development of a deformable lung phantom for the evaluation of deformable registration
por: Chang, Jina, et al.
Publicado: (2010)

Quantitative evaluation of the performance of different deformable image registration algorithms in helical, axial, and cone‐beam CT images using a mobile phantom
por: Ali, Imad, et al.
Publicado: (2018)

A comparison of the dosimetric effects of intrafraction motion on step‐and‐shoot, compensator, and helical tomotherapy‐based IMRT
por: Waghorn, Ben J., et al.
Publicado: (2013)

Expanding the use of real‐time electromagnetic tracking in radiation oncology
por: Shah, Amish P., et al.
Publicado: (2011)

Deformable abdominal phantom for the validation of real‐time image guidance and deformable dose accumulation
por: Matrosic, Charles K., et al.
Publicado: (2019)

Validation of three deformable image registration algorithms for the thorax
por: Latifi, Kujtim, et al.
Publicado: (2013)

Performance variations among clinically available deformable image registration tools in adaptive radiotherapy — how should we evaluate and interpret the result?
por: Nie, Ke, et al.
Publicado: (2016)

Dosimetric verification of IMPT using a commercial heterogeneous phantom
por: Yasui, Keisuke, et al.
Publicado: (2019)

Evaluation of the accuracy of deformable image registration on MRI with a physical phantom
por: Wu, Richard Y., et al.
Publicado: (2019)

A measure to evaluate deformable registration fields in clinical settings
por: Schreibmann, Eduard, et al.
Publicado: (2012)

Evaluation of cine imaging during multileaf collimator and gantry motion for real‐time magnetic resonance guided radiation therapy
por: Kielbasa, Jerrold E., et al.
Publicado: (2020)

A margin-based analysis of the dosimetric impact of motion on step-and-shoot IMRT lung plans
por: Waghorn, Benjamin J, et al.
Publicado: (2014)

The impact of robustness of deformable image registration on contour propagation and dose accumulation for head and neck adaptive radiotherapy
por: Zhang, Lian, et al.
Publicado: (2018)

Accuracy of patient setup positioning using surface‐guided radiotherapy with deformable registration in cases of surface deformation
por: Kadman, Boriphat, et al.
Publicado: (2022)

Utility of deformable image registration for adaptive prostate cancer treatment. Analysis and comparison of two commercially available algorithms
por: Posiewnik, Michał, et al.
Publicado: (2021)

Comparison of automatic image registration uncertainty for three IGRT systems using a male pelvis phantom
por: Barber, Jeffrey, et al.
Publicado: (2016)

Accuracy of 3D volumetric image registration based on CT, MR and PET/CT phantom experiments
por: Li, Guang, et al.
Publicado: (2008)

A framework for deformable image registration validation in radiotherapy clinical applications
por: Varadhan, Raj, et al.
Publicado: (2013)

Evaluation of the tool “Reg Refine” for user‐guided deformable image registration
por: Johnson, Perry B., et al.
Publicado: (2016)

Usefulness of hybrid deformable image registration algorithms in prostate radiation therapy
por: Motegi, Kana, et al.
Publicado: (2018)

A multiparametric method to assess the MIM deformable image registration algorithm
por: Calusi, Silvia, et al.
Publicado: (2019)

The evaluation of a hybrid biomechanical deformable registration method on a multistage physical phantom with reproducible deformation
por: Qin, An, et al.
Publicado: (2018)

Deformable image registration and interobserver variation in contour propagation for radiation therapy planning
por: Riegel, Adam C., et al.
Publicado: (2016)

Accuracy quantification of a deformable image registration tool applied in a clinical setting
por: Hoffmann, Christoph, et al.
Publicado: (2014)

Validation of virtual water phantom software for pre‐treatment verification of single‐isocenter multiple‐target stereotactic radiosurgery
por: Calvo‐Ortega, Juan‐Francisco, et al.
Publicado: (2021)

Accuracy evaluation of surface registration algorithm using normal distribution transform in stereotactic body radiotherapy/radiosurgery: A phantom study
por: Lee, Haenghwa, et al.
Publicado: (2022)

Validating Dose Uncertainty Estimates Produced by AUTODIRECT: An Automated Program to Evaluate Deformable Image Registration Accuracy
por: Kim, Hojin, et al.
Publicado: (2017)

Deformable registration using edge‐preserving scale space for adaptive image‐guided radiation therapy
por: Li, Dengwang, et al.
Publicado: (2011)

The application of multiple metrics in deformable image registration for target volume delineation of breast tumor bed
por: Xie, Xin, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_72lkm4tua8ujcik5emeodsjtf1