scholarly journals Registration of the Cone Beam CT and Blue-Ray Scanned Dental Model Based on the Improved ICP Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Xue Mei ◽  
Zhenhua Li ◽  
Songsong Xu ◽  
Xiaoyan Guo
Keyword(s):  
Image Registration ◽  
Cone Beam Ct ◽  
Transformation Method ◽  
Cone Beam ◽  
Registration Method ◽  
Icp Algorithm ◽  
Coarse Registration ◽  
Dental Model ◽  
Point Set ◽  
Multimodality Image

Multimodality image registration and fusion has complementary significance for guiding dental implant surgery. As the needs of the different resolution image registration, we develop an improved Iterative Closest Point (ICP) algorithm that focuses on the registration of Cone Beam Computed Tomography (CT) image and high-resolution Blue-light scanner image. The proposed algorithm includes two major phases, coarse and precise registration. Firstly, for reducing the matching interference of human subjective factors, we extract feature points based on curvature characteristics and use the improved three point’s translational transformation method to realize coarse registration. Then, the feature point set and reference point set, obtained by the initial registered transformation, are processed in the precise registration step. Even with the unsatisfactory initial values, this two steps registration method can guarantee the global convergence and the convergence precision. Experimental results demonstrate that the method has successfully realized the registration of the Cone Beam CT dental model and the blue-ray scanner model with higher accuracy. So the method could provide researching foundation for the relevant software development in terms of the registration of multi-modality medical data.

scholarly journals Comparison of radiographer interobserver image registration variability using cone beam CT and MR for cervix radiotherapy

2020 ◽  
Vol 93 (1112) ◽  
pp. 20200169
Author(s):  
John Rodgers ◽  
Rosie Hales ◽  
Lee Whiteside ◽  
Jacqui Parker ◽  
Louise McHugh ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Image Registration ◽  
Image Guidance ◽  
Cone Beam Ct ◽  
Cone Beam ◽  
Mr Images ◽  
Mr Image ◽  
Image Guided Radiotherapy ◽  
Multimodality Image ◽  
Planning Ct

Objectives: The aim of this study was to assess the consistency of therapy radiographers performing image registration using cone beam computed tomography (CBCT)-CT, magnetic resonance (MR)-CT, and MR-MR image guidance for cervix cancer radiotherapy and to assess that MR-based image guidance is not inferior to CBCT standard practice. Methods: 10 patients receiving cervix radiation therapy underwent daily CBCT guidance and magnetic resonance (MR) imaging weekly during treatment. Offline registration of each MR image, and corresponding CBCT, to planning CT was performed by five radiographers. MR images were also registered to the earliest MR interobserver variation was assessed using modified Bland–Altman analysis with clinically acceptable 95% limits of agreement (LoA) defined as ±5.0 mm. Results: 30 CBCT-CT, 30 MR-CT and 20 MR–MR registrations were performed by each observer. Registration variations between CBCT-CT and MR-CT were minor and both strategies resulted in 95% LoA over the clinical threshold in the anteroposterior direction (CBCT-CT ±5.8 mm, MR-CT ±5.4 mm). MR–MR registrations achieved a significantly improved 95% LoA in the anteroposterior direction (±4.3 mm). All strategies demonstrated similar results in lateral and longitudinal directions. Conclusion: The magnitude of interobserver variations between CBCT-CT and MR-CT were similar, confirming that MR-CT radiotherapy workflows are comparable to CBCT-CT image-guided radiotherapy. Our results suggest MR–MR radiotherapy workflows may be a superior registration strategy. Advances in knowledge: This is the first publication quantifying interobserver registration of multimodality image registration strategies for cervix radical radiotherapy patients.

SU-EE-A4-05: Effects of Cone-Beam CT Noise and Cupping Artifacts On Deformable Image Registration

2006 ◽  
Vol 33 (6Part2) ◽  
pp. 1996-1996
Author(s):  
M Murphy ◽  
L Lu ◽  
A Crimaldi ◽  
L Cuttino ◽  
C Shield ◽  
...  
Keyword(s):  
Image Registration ◽  
Cone Beam Ct ◽  
Deformable Image Registration ◽  
Cone Beam ◽  
Cupping Artifacts

scholarly journals A Novel Coarse-to-Fine Scheme for Remote Sensing Image Registration Based on SIFT and Phase Correlation

2019 ◽  
Vol 11 (15) ◽  
pp. 1833 ◽  
Author(s):  
Han Yang ◽  
Xiaorun Li ◽  
Liaoying Zhao ◽  
Shuhan Chen
Keyword(s):  
Remote Sensing ◽  
Image Registration ◽  
Phase Correlation ◽  
Mean Square ◽  
Extended Phase ◽  
Registration Method ◽  
Coarse Registration ◽  
Feature Based ◽  
Coarse To Fine ◽  
Fine Registration

Automatic image registration has been wildly used in remote sensing applications. However, the feature-based registration method is sometimes inaccurate and unstable for images with large scale difference, grayscale and texture differences. In this manuscript, a coarse-to-fine registration scheme is proposed, which combines the advantage of feature-based registration and phase correlation-based registration. The scheme consists of four steps. First, feature-based registration method is adopted for coarse registration. A geometrical outlier removal method is applied to improve the accuracy of coarse registration, which uses geometric similarities of inliers. Then, the sensed image is modified through the coarse registration result under affine deformation model. After that, the modified sensed image is registered to the reference image by extended phase correlation. Lastly, the final registration results are calculated by the fusion of the coarse registration and the fine registration. High universality of feature-based registration and high accuracy of extended phase correlation-based registration are both preserved in the proposed method. Experimental results of several different remote sensing images, which come from several published image registration papers, demonstrate the high robustness and accuracy of the proposed method. The evaluation contains root mean square error (RMSE), Laplace mean square error (LMSE) and red–green image registration results.

Deformable image registration for contour propagation from CT to cone-beam CT scans in radiotherapy of prostate cancer

2011 ◽  
Vol 50 (6) ◽  
pp. 918-925 ◽  
Author(s):  
Maria Thor ◽  
Jørgen B. B. Petersen ◽  
Lise Bentzen ◽  
Morten Høyer ◽  
Ludvig Paul Muren
Keyword(s):  
Prostate Cancer ◽  
Image Registration ◽  
Cone Beam Ct ◽  
Deformable Image Registration ◽  
Ct Scans ◽  
Cone Beam ◽  
Contour Propagation

Reduction of Cone-Beam CT scan time without compromising the accuracy of the image registration in IGRT

2010 ◽  
Vol 49 (2) ◽  
pp. 225-229 ◽  
Author(s):  
Jonas Westberg ◽  
Henrik R. Jensen ◽  
Anders Bertelsen ◽  
Carsten Brink
Keyword(s):  
Image Registration ◽  
Ct Scan ◽  
Cone Beam Ct ◽  
Cone Beam ◽  
Scan Time
Sign in / Sign up

Export Citation Format

Share Document