Cargando…

Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information

Accurate pulmonary image registration is a challenging problem when the lungs have a deformation with large distance. In this work, we present a nonrigid volumetric registration algorithm to track lung motion between a pair of intrasubject CT images acquired at different inflation levels and introdu...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cao, Kunlin, Ding, Kai, Reinhardt, Joseph M., Christensen, Gary E.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2012
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3515912/ https://www.ncbi.nlm.nih.gov/pubmed/23251141 http://dx.doi.org/10.1155/2012/285136

Ejemplares similares

Tracking Regional Tissue Volume and Function Change in Lung Using Image Registration
por: Cao, Kunlin, et al.
Publicado: (2012)

Accuracy of registration algorithms in subtraction CT of the lungs: A digital phantom study
por: Grob, Dagmar, et al.
Publicado: (2019)

Analysis of Regional Mechanics in Canine Lung Injury Using Forced Oscillations and 3D Image Registration
por: Kaczka, David W., et al.
Publicado: (2010)

Robust Measures of Image-Registration-Derived Lung Biomechanics in SPIROMICS
por: Pan, Yue, et al.
Publicado: (2022)

Accuracy of MRI-CT registration in brain stereotactic radiotherapy: Impact of MRI acquisition setup and registration method
por: Masitho, Siti, et al.
Publicado: (2022)

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

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)

Effects of Lung Injury on Regional Aeration and Expiratory Time Constants: Insights From Four-Dimensional Computed Tomography Image Registration
por: Herrmann, Jacob, et al.
Publicado: (2021)

Registration accuracy with the low dose kilovoltage cone-beam CT: A phantom study
por: Takei, Yoshiki, et al.
Publicado: (2019)

INSPIRE: Intensity and spatial information-based deformable image registration
por: Öfverstedt, Johan, et al.
Publicado: (2023)

Accuracy of low‐dose proton CT image registration for pretreatment alignment verification in reference to planning proton CT
por: Cassetta, Roberto, et al.
Publicado: (2019)

Nonrigid Registration of Lung CT Images Based on Tissue Features
por: Zhang, Rui, et al.
Publicado: (2013)

CNN-based lung CT registration with multiple anatomical constraints
por: Hering, Alessa, et al.
Publicado: (2021)

Evaluation of the ΔV 4D CT ventilation calculation method using in vivo xenon CT ventilation data and comparison to other methods
por: Zhang, Geoffrey G., et al.
Publicado: (2016)

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

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

Image Registration Improves Confidence and Accuracy of Image Interpretation
por: Erickson, Bradley J, 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)

Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms
por: Marinelli, Martina, et al.
Publicado: (2012)

Nonrigid Registration Regularized by Shape Information: Application to Atlas Construction of Cardiac CT Images
por: Zha, Yunfei, et al.
Publicado: (2015)

Automatic Registration and Error Color Maps to Improve Accuracy for Navigated Bone Tumor Surgery Using Intraoperative Cone-Beam CT
por: Sahovaler, Axel, et al.
Publicado: (2022)

Consistency and accuracy of diagnostic cancer codes generated by automated registration: comparison with manual registration
por: Tagliabue, Giovanna, et al.
Publicado: (2006)

Registration accuracy for MR images of the prostate using a subvolume based registration protocol
por: Jonsson, Joakim H, et al.
Publicado: (2011)

Registration Accuracy and Quality of Real-Life Images
por: Hsu, Wei-Yen
Publicado: (2012)

A Framework for the Objective Assessment of Registration Accuracy
por: Pizzorni Ferrarese, Francesca, et al.
Publicado: (2014)

Accuracy of iView and PIPSpro registration software
por: Pallotta, Stefania, et al.
Publicado: (2010)

Evaluation of automated radiostereometric image registration in total knee arthroplasty utilizing a synthetic‐based and a CT‐based volumetric model
por: Petersen, Emil Toft, et al.
Publicado: (2022)

Improvement of the Accuracy of InSAR Image Co-Registration Based On Tie Points – A Review
por: Zou, Weibao, et al.
Publicado: (2009)

Accuracy of registration techniques and vascular imaging modalities in fusion imaging for aortic endovascular interventions: a phantom study
por: Sieren, M. M., et al.
Publicado: (2021)

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

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

Objective Assessment of the Quality and Accuracy of Deformable Image Registration
por: Jurkovic, Ines-Ana, et al.
Publicado: (2020)

Abdominopelvic MR to CT registration using a synthetic CT intermediate
por: Heo, Jin Uk, et al.
Publicado: (2022)

Registration in the Danish Regional Nonmelanoma Skin Cancer Dermatology Database: completeness of registration and accuracy of key variables
por: Lamberg, Anna L, et al.
Publicado: (2010)

Dynamic change of COVID-19 lung infection evaluated using co-registration of serial chest CT images
por: Chen, Xiao, et al.
Publicado: (2022)

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

Clinical validation of the normalized mutual information method for registration of CT and MR images in radiotherapy of brain tumors
por: Veninga, Theo, et al.
Publicado: (2004)

Geometric and dosimetric accuracy of deformable image registration between average‐intensity images for 4DCT‐based adaptive radiotherapy for non‐small cell lung cancer
por: He, Yulun, et al.
Publicado: (2021)

Accuracy and consistency of intensity-based deformable image registration in 4DCT for tumor motion estimation in liver radiotherapy planning
por: Tascón-Vidarte, José D., et al.
Publicado: (2022)

Target localization accuracy in frame‐based stereotactic radiosurgery: Comparison between MR‐only and MR/CT co‐registration approaches
por: Pappas, Eleftherios P., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_a2kjmit4gvshi9gqpnuu26llro