Cargando…

Comprehensive evaluation of ten deformable image registration algorithms for contour propagation between CT and cone-beam CT images in adaptive head & neck radiotherapy

Deformable image registration (DIR) is a critical technic in adaptive radiotherapy (ART) for propagating contours between planning computerized tomography (CT) images and treatment CT/cone-beam CT (CBCT) images to account for organ deformation for treatment re-planning. To validate the ability and a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Xin, Zhang, Yuyu, Shi, Yinghua, Wu, Shuyu, Xiao, Yang, Gu, Xuejun, Zhen, Xin, Zhou, Linghong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5393623/ https://www.ncbi.nlm.nih.gov/pubmed/28414799 http://dx.doi.org/10.1371/journal.pone.0175906

Ejemplares similares

Evaluation of Deformable Image Registration-Based Contour Propagation From Planning CT to Cone-Beam CT
por: Woerner, Andrew J., et al.
Publicado: (2017)

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

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)

Incorporating the synthetic CT image for improving the performance of deformable image registration between planning CT and cone-beam CT
por: Li, Na, et al.
Publicado: (2023)

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

Automatic contour propagation using deformable image registration to determine delivered dose to spinal cord in head-and-neck cancer radiotherapy
por: Yeap, P L, et al.
Publicado: (2017)

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

Integration of operator-validated contours in deformable image registration for dose accumulation in radiotherapy
por: Bosma, Lando S, et al.
Publicado: (2023)

Contouring lumbosacral plexus nerves with MR neurography and MR/CT deformable registration technique
por: Cao, Xi, et al.
Publicado: (2022)

Contour Propagation Using Feature-Based Deformable Registration for Lung Cancer
por: Yang, Yuhan, et al.
Publicado: (2013)

A Stationary Wavelet Transform Based Approach to Registration of Planning CT and Setup Cone beam-CT Images in Radiotherapy
por: Deng, Jun-min, et al.
Publicado: (2014)

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

Effect of Deformation Methods on the Accuracy of Deformable Image Registration From Kilovoltage CT to Tomotherapy Megavoltage CT
por: Nobnop, Wannapha, et al.
Publicado: (2019)

Accumulation of the delivered dose based on cone-beam CT and deformable image registration for non-small cell lung cancer treated with hypofractionated radiotherapy
por: Wang, Bin, et al.
Publicado: (2020)

A Comparative Evaluation of 3 Different Free-Form Deformable Image Registration and Contour Propagation Methods for Head and Neck MRI: The Case of Parotid Changes During Radiotherapy
por: Broggi, Sara, et al.
Publicado: (2017)

Evaluation of whole‐body MR to CT deformable image registration
por: Akbarzadeh, A., et al.
Publicado: (2013)

The use of PET/CT in radiotherapy planning: contribution of deformable registration
por: Delikgoz Soykut, Ela, et al.
Publicado: (2013)

Prospective quantitative quality assurance and deformation estimation of MRI-CT image registration in simulation of head and neck radiotherapy patients
por: Kiser, Kendall, et al.
Publicado: (2019)

Registration error of the liver CT using deformable image registration of MIM Maestro and Velocity AI
por: Fukumitsu, Nobuyoshi, et al.
Publicado: (2017)

Dosimetric comparison of deformable image registration and synthetic CT generation based on CBCT images for organs at risk in cervical cancer radiotherapy
por: Chang, Yankui, et al.
Publicado: (2023)

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)

Nonrigid Image Registration for Head and Neck Cancer Radiotherapy Treatment Planning With PET/CT
por: Ireland, Rob H., et al.
Publicado: (2007)

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

“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)

The Spine and Carina as a Surrogate for Target Registration in Cone-beam CT Imaging Verification in Locally Advanced Lung Cancer Radiotherapy
por: But-Hadzic, Jasna, et al.
Publicado: (2023)

Evaluation of Intensity- and Contour-Based Deformable Image Registration Accuracy in Pancreatic Cancer Patients
por: Kubota, Yoshiki, et al.
Publicado: (2019)

Automatic contouring using deformable image registration for tandem-ring or tandem-ovoid brachytherapy
por: Yedekci, Yagiz, et al.
Publicado: (2022)

A Registration Method Based on Contour Point Cloud for 3D Whole-Body PET and CT Images
por: Song, Zhiying, et al.
Publicado: (2017)

Contour‐guided deep learning based deformable image registration for dose monitoring during CBCT‐guided radiotherapy of prostate cancer
por: Hemon, Cédric, et al.
Publicado: (2023)

Deforming to Best Practice: Key considerations for deformable image registration in radiotherapy
por: Barber, Jeffrey, et al.
Publicado: (2020)

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

Large-Deformation Image Registration of CT-TEE for Surgical Navigation of Congenital Heart Disease
por: Gou, Shuiping, et al.
Publicado: (2018)

Evaluation of a commercial deformable image registration algorithm for dual‐energy CT processing
por: Huang, Jessie Y., et al.
Publicado: (2020)

Evaluation of Image Enhancement Method on Target Registration Using Cone Beam CT in Radiation Therapy
por: Yan, Hui, et al.
Publicado: (2008)

Evaluation of Deformable Image Registration Methods for Dose Monitoring in Head and Neck Radiotherapy
por: Rigaud, Bastien, et al.
Publicado: (2015)

Assessing the impact of choosing different deformable registration algorithms on cone-beam CT enhancement by histogram matching
por: Kidar, Halima Saadia, et al.
Publicado: (2018)

The Utility of Cloud Computing in Analyzing GPU-Accelerated Deformable Image Registration of CT and CBCT Images in Head and Neck Cancer Radiation Therapy
Publicado: (2016)

The feasibility of endoscopy-CT image registration in the head and neck without prospective endoscope tracking
por: Ingram, W. Scott, et al.
Publicado: (2017)

Image artifacts caused by incorrect bowtie filters in cone‐beam CT image‐guided radiotherapy
por: Cao, Yanan, et al.
Publicado: (2020)

Comparison of low‐dose, half‐rotation, cone‐beam CT with electronic portal imaging device for registration of fiducial markers during prostate radiotherapy
por: Ung, Ngie Min, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_gq865v0tov1hkipmcsn4p2l3rg