Cargando…

A review of deep learning-based deformable medical image registration

The alignment of images through deformable image registration is vital to clinical applications (e.g., atlas creation, image fusion, and tumor targeting in image-guided navigation systems) and is still a challenging problem. Recent progress in the field of deep learning has significantly advanced th...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zou, Jing, Gao, Bingchen, Song, Youyi, Qin, Jing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768226/ https://www.ncbi.nlm.nih.gov/pubmed/36568171 http://dx.doi.org/10.3389/fonc.2022.1047215

Ejemplares similares

Assessment of Ablative Margin After Microwave Ablation for Hepatocellular Carcinoma Using Deep Learning-Based Deformable Image Registration
por: An, Chao, et al.
Publicado: (2020)

Leveraging deep learning-based segmentation and contours-driven deformable registration for dose accumulation in abdominal structures
por: McCulloch, Molly M., et al.
Publicado: (2022)

Evaluation of accuracy of B-spline transformation-based deformable image registration with different parameter settings for thoracic images
por: Kanai, Takayuki, et al.
Publicado: (2014)

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

Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations
por: Ahmad, Sahar, et al.
Publicado: (2019)

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

The use of PET/CT in radiotherapy planning: contribution of deformable registration
por: Delikgoz Soykut, Ela, 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)

Nonrigid Medical Image Registration Based on Mesh Deformation Constraints
por: Lin, XiangBo, et al.
Publicado: (2013)

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

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)

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)

Evaluation of the performance of deformable image registration between planning CT and CBCT images for the pelvic region: comparison between hybrid and intensity-based DIR
por: Takayama, Yoshiki, et al.
Publicado: (2017)

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)

Deep-Learning-based Fast and Accurate 3D CT Deformable Image Registration in Lung Cancer
por: Ding, Yuzhen, et al.
Publicado: (2023)

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

Dosimetric and geometric evaluation of the use of deformable image registration in adaptive intensity-modulated radiotherapy for head-and-neck cancer
por: Eiland, R.B., et al.
Publicado: (2014)

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)

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

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)

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

“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)

Erring Characteristics of Deformable Image Registration-Based Auto-Propagation for Internal Target Volume in Radiotherapy of Locally Advanced Non-Small Cell Lung Cancer
por: Rich, Benjamin J., et al.
Publicado: (2022)

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

Inter-fraction deformable image registration using unsupervised deep learning for CBCT-guided abdominal radiotherapy
por: Xie, Huiqiao, et al.
Publicado: (2023)

Nonrigid 3D Medical Image Registration and Fusion Based on Deformable Models
por: Liu, Peng, et al.
Publicado: (2013)

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

Estimation of the total rectal dose of radical external beam and intracavitary radiotherapy for uterine cervical cancer using the deformable image registration method
por: Hayashi, Kazuhiko, et al.
Publicado: (2015)

Deformable image registration in radiation therapy
por: Oh, Seungjong, et al.
Publicado: (2017)

Deformable image registration in radiation therapy
por: Dowling, Jason A, et al.
Publicado: (2020)

Deep Adaptive Log-Demons: Diffeomorphic Image Registration with Very Large Deformations
por: Zhao, Liya, et al.
Publicado: (2015)

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

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

Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy
por: Kuckertz, Sven, et al.
Publicado: (2020)

Intra-Patient Lung CT Registration through Large Deformation Decomposition and Attention-Guided Refinement
por: Zou, Jing, et al.
Publicado: (2023)

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)

Cannot write session to /tmp/vufind_sessions/sess_5m888190vld6pc08l3fdbq6juk