In Defence of RANSAC for Outlier Rejection in Deformable Registration

2012 ◽  
pp. 274-287 ◽  
Author(s):  
Quoc-Huy Tran ◽  
Tat-Jun Chin ◽  
Gustavo Carneiro ◽  
Michael S. Brown ◽  
David Suter
Keyword(s):  
Deformable Registration ◽  
Outlier Rejection

scholarly journals Quantitative Assessment of Shape Deformation of Regional Cranial Bone for Evaluation of Surgical Effect in Patients with Craniosynostosis

2021 ◽  
Vol 11 (3) ◽  
pp. 990
Author(s):  
Min Jin Lee ◽  
Helen Hong ◽  
Kyu Won Shim
Keyword(s):  
Quantitative Assessment ◽  
Deformable Registration ◽  
Occipital Bone ◽  
Cranial Bone ◽  
Shape Deformation ◽  
Surface Model ◽  
Cephalic Index ◽  
Skull Shape ◽  
Quantification Method ◽  
Parietal Bones

Surgery in patients with craniosynostosis is a common treatment to correct the deformed skull shape, and it is necessary to verify the surgical effect of correction on the regional cranial bone. We propose a quantification method for evaluating surgical effects on regional cranial bones by comparing preoperative and postoperative skull shapes. To divide preoperative and postoperative skulls into two frontal bones, two parietal bones, and the occipital bone, and to estimate the shape deformation of regional cranial bones between the preoperative and postoperative skulls, an age-matched mean-normal skull surface model already divided into five bones is deformed into a preoperative skull, and a deformed mean-normal skull surface model is redeformed into a postoperative skull. To quantify the degree of the expansion and reduction of regional cranial bones after surgery, expansion and reduction indices of the five cranial bones are calculated using the deformable registration as deformation information. The proposed quantification method overcomes the quantification difficulty when using the traditional cephalic index(CI) by analyzing regional cranial bones and provides useful information for quantifying the surgical effects of craniosynostosis patients with symmetric and asymmetric deformities.

EP-1683: Delivered and planned doses for prostate SBRT with FFF beam: A radiobiology study by CBCT and deformable registration

2014 ◽  
Vol 111 ◽  
pp. S240
Author(s):  
G. Reggiori ◽  
L. Strigari ◽  
F. Alongi ◽  
G. Maggi ◽  
A. Gaudino ◽  
...  
Keyword(s):  
Deformable Registration

scholarly journals Deformable registration of multimodal data including rigid structures

2003 ◽  
Vol 50 (3) ◽  
pp. 389-392 ◽  
Author(s):  
R.H. Huesman ◽  
G.J. Klein ◽  
J.A. Kimdon ◽  
Chaincy Kuo ◽  
S. Majumdar
Keyword(s):  
Deformable Registration ◽  
Multimodal Data

scholarly journals EP-2031: Kidney motion in children and young people quantified using 4DCT deformable registration

2018 ◽  
Vol 127 ◽  
pp. S1109-S1110
Author(s):  
N. Lavan ◽  
D. Mc Quaid ◽  
G. Smyth ◽  
S. Vaidya ◽  
F. Saran ◽  
...  
Keyword(s):  
Young People ◽  
Deformable Registration ◽  
Children And Young People

PSI: Point-Set-and-Intensity-Based Algorithm for 3D CT Deformable Registration

2014 ◽  
Vol 4 (3) ◽  
pp. 444-447
Author(s):  
Wei Xia ◽  
Xin Gao ◽  
Xiaocong Wang
Keyword(s):  
Deformable Registration ◽  
3D Ct ◽  
Point Set

scholarly journals Effect of deformable registration on the dose calculated in radiation therapy planning CT scans of lung cancer patients a)

2014 ◽  
Vol 42 (1) ◽  
pp. 391-399 ◽  
Author(s):  
Alexandra R. Cunliffe ◽  
Clay Contee ◽  
Samuel G. Armato ◽  
Bradley White ◽  
Julia Justusson ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Radiation Therapy ◽  
Cancer Patients ◽  
Deformable Registration ◽  
Ct Scans ◽  
Therapy Planning ◽  
Lung Cancer Patients ◽  
Radiation Therapy Planning ◽  
Planning Ct
Sign in / Sign up

Export Citation Format

Share Document