TU-A-9A-01: A Precise Deformable Image Registration System Using Feature-Based Irregular Meshes

2014 ◽  
Vol 41 (6Part26) ◽  
pp. 447-447
Author(s):  
Y Cai ◽  
Z Zhong ◽  
X Guo ◽  
X Gu ◽  
T Chiu ◽  
...  
Keyword(s):  
Image Registration ◽  
Deformable Image Registration ◽  
Registration System ◽  
Feature Based ◽  
Irregular Meshes

Open source deformable image registration system for treatment planning and recurrence CT scans

2016 ◽  
Vol 192 (8) ◽  
pp. 545-551 ◽  
Author(s):  
Ruta Zukauskaite ◽  
Carsten Brink ◽  
Christian Rønn Hansen ◽  
Anders Bertelsen ◽  
Jørgen Johansen ◽  
...  
Keyword(s):  
Image Registration ◽  
Open Source ◽  
Treatment Planning ◽  
Deformable Image Registration ◽  
Ct Scans ◽  
Registration System

scholarly journals Interactive Multigrid Refinement for Deformable Image Registration

2013 ◽  
Vol 2013 ◽  
pp. 1-9
Author(s):  
Wu Zhou ◽  
Yaoqin Xie
Keyword(s):  
Image Registration ◽  
Medical Images ◽  
Salient Feature ◽  
Deformable Image Registration ◽  
Free Form ◽  
Reference Image ◽  
Free Form Deformation ◽  
Feature Based ◽  
Automatic Algorithm ◽  
Overlapping Region

Deformable image registration is the spatial mapping of corresponding locations between images and can be used for important applications in radiotherapy. Although numerous methods have attempted to register deformable medical images automatically, such as salient-feature-based registration (SFBR), free-form deformation (FFD), and demons, no automatic method for registration is perfect, and no generic automatic algorithm has shown to work properly for clinical applications due to the fact that the deformation field is often complex and cannot be estimated well by current automatic deformable registration methods. This paper focuses on how to revise registration results interactively for deformable image registration. We can manually revise the transformed image locally in a hierarchical multigrid manner to make the transformed image register well with the reference image. The proposed method is based on multilevel B-spline to interactively revise the deformable transformation in the overlapping region between the reference image and the transformed image. The resulting deformation controls the shape of the transformed image and produces a nice registration or improves the registration results of other registration methods. Experimental results in clinical medical images for adaptive radiotherapy demonstrated the effectiveness of the proposed method.

scholarly journals PO-0950: Validation of the deformable image registration system elastix in the head and neck region

2015 ◽  
Vol 115 ◽  
pp. S499-S500
Author(s):  
R. Zukauskaite ◽  
C. Brink ◽  
C.R. Hansen ◽  
A. Bertelsen ◽  
C. Grau ◽  
...  
Keyword(s):  
Image Registration ◽  
Head And Neck ◽  
Neck Region ◽  
Deformable Image Registration ◽  
Registration System ◽  
Head And Neck Region

Comparative study of NOTES alone vs. NOTES guided by a new image registration system for navigation in the mediastinum: A study in a porcine model

Endoscopy ◽  
2012 ◽  
Vol 44 (10) ◽  
Author(s):  
H Córdova ◽  
R San José Estépar ◽  
A Rodríguez-D'Jesús ◽  
G Martínez-Pallí ◽  
P Arguis ◽  
...  
Keyword(s):  
Image Registration ◽  
Comparative Study ◽  
Porcine Model ◽  
Registration System

scholarly journals Non-rigid image registration using a modified fuzzy feature-based inference system for 3D cardiac motion estimation

2021 ◽  
Vol 205 ◽  
pp. 106085
Author(s):  
Monire Sheikh Hosseini ◽  
Mahammad Hassan Moradi ◽  
Mahdi Tabassian ◽  
Jan D'hooge
Keyword(s):  
Image Registration ◽  
Motion Estimation ◽  
Cardiac Motion ◽  
Inference System ◽  
Feature Based

OC-0444: Impact of deformable image registration on inter-fractional variations in lung cancer proton therapy

2020 ◽  
Vol 152 ◽  
pp. S245
Author(s):  
L. Nenoff ◽  
C.O. Ribeiro ◽  
M. Matter ◽  
L. Hafner ◽  
A.C. Knopf ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Image Registration ◽  
Proton Therapy ◽  
Deformable Image Registration

scholarly journals Detection of vessel bifurcations in CT scans for automatic objective assessment of deformable image registration accuracy

2021 ◽  
Author(s):  
Guillaume Cazoulat ◽  
Brian M Anderson ◽  
Molly M McCulloch ◽  
Bastien Rigaud ◽  
Eugene J Koay ◽  
...  
Keyword(s):  
Image Registration ◽  
Objective Assessment ◽  
Deformable Image Registration ◽  
Ct Scans ◽  
Registration Accuracy ◽  
Vessel Bifurcations

scholarly journals Tissue-specific deformable image registration using a spatial-contextual filter

2021 ◽  
Vol 88 ◽  
pp. 101849
Author(s):  
Yongbin Zhang ◽  
Lifei Zhang ◽  
Laurence E. Court ◽  
Peter Balter ◽  
Lei Dong ◽  
...  
Keyword(s):  
Image Registration ◽  
Deformable Image Registration ◽  
Tissue Specific
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