Cargando…

Validation of three deformable image registration algorithms for the thorax

Deformable image registration (DIR) has been proposed for lung ventilation calculation using 4D CT. Spatial accuracy of DIR can be evaluated using expert landmark correspondences. Additionally, image differences between the deformed and the target images give a degree of accuracy of DIR algorithms f...

Descripción completa

Detalles Bibliográficos
Autores principales:	Latifi, Kujtim, Zhang, Geoffrey, Stawicki, Marnix, van Elmpt, Wouter, Dekker, Andre, Forster, Kenneth
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2013
Materias:	Radiation Oncology Physics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713150/ https://www.ncbi.nlm.nih.gov/pubmed/23318377 http://dx.doi.org/10.1120/jacmp.v14i1.3834

Ejemplares similares

Dependence of ventilation image derived from 4D CT on deformable image registration and ventilation algorithms
por: Latifi, Kujtim, et al.
Publicado: (2013)

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

Practical quantification of image registration accuracy following the AAPM TG‐132 report framework
por: Latifi, Kujtim, et al.
Publicado: (2018)

Validation of nonrigid registration in pretreatment and follow‐up PET/CT scans for quantification of tumor residue in lung cancer patients
por: Spijkerman, Jolanda, et al.
Publicado: (2014)

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)

Validation of a deformable MRI to CT registration algorithm employing same day planning MRI for surrogate analysis
por: Padgett, Kyle R., et al.
Publicado: (2018)

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

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

Film‐based dose validation of Monte Carlo algorithm for Cyberknife system with a CIRS thorax phantom
por: Pan, Yuxi, 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)

A comparative study of three CT and MRI registration algorithms in nasopharyngeal carcinoma
por: Wang, XiaoShen, et al.
Publicado: (2009)

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

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

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

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

Initial evaluation of automated treatment planning software
por: Gintz, Dawn, et al.
Publicado: (2016)

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

Dosimetric study of three‐dimensional static and dynamic SBRT radiotherapy for hepatocellular carcinoma based on 4DCT image deformable registration
por: Ma, Changdong, et al.
Publicado: (2019)

Improved prostate delineation in prostate HDR brachytherapy with TRUS‐CT deformable registration technology: A pilot study with MRI validation
por: Yang, Xiaofeng, et al.
Publicado: (2017)

Learning anatomy changes from patient populations to create artificial CT images for voxel‐level validation of deformable image registration
por: Yu, Z. Henry, et al.
Publicado: (2016)

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)

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

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

A Voxel-by-Voxel Comparison of Deformable Vector Fields Obtained by Three Deformable Image Registration Algorithms Applied to 4DCT Lung Studies
por: Fatyga, Mirek, et al.
Publicado: (2015)

Superficial and peripheral dose in compensator‐based FFF beam IMRT
por: Zhang, Daniel G., et al.
Publicado: (2016)

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

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

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

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

Investigation of dosimetric variations of liver radiotherapy using deformable registration of planning CT and cone‐beam CT
por: Huang, Pu, et al.
Publicado: (2016)

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)

“Dose of the day” based on cone beam computed tomography and deformable image registration for lung cancer radiotherapy
por: Yuan, Zilong, et al.
Publicado: (2019)

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

Accuracy of deformable image registration for contour propagation in adaptive lung radiotherapy
por: Hardcastle, Nicholas, et al.
Publicado: (2013)

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)

Surface-Guided Patient Setup Versus Traditional Tattoo Markers for Radiation Therapy: Is Tattoo-Less Setup Feasible for Thorax, Abdomen and Pelvis Treatment?
por: Zhao, Hui, et al.
Publicado: (2022)

Deformable registration of chest CT images using a 3D convolutional neural network based on unsupervised learning
por: Zheng, Yongnan, et al.
Publicado: (2021)

Variability in commercially available deformable image registration: A multi‐institution analysis using virtual head and neck phantoms
por: Kubli, Alex, et al.
Publicado: (2021)

Maintaining dosimetric quality when switching to a Monte Carlo dose engine for head and neck volumetric‐modulated arc therapy planning
por: Feygelman, Vladimir, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_2grfr03e8t24odia6m3dr6c6vf