Results 161 to 170 of about 30,960 (188)

Registration of local deformations in images

2008 Second International Conference on Electrical Engineering, 2008
This paper proposes a radial basis function(RBF) with finite support to register non rigid local deformations present in a image pair. The criteria to evaluate accuracy of local transformation function is also proposed. Results of proposed RBF are analyzed and compared with the existing RBFs, based on the evaluation criteria and similarity measures ...
Adil Masood Siddiqui, Muhammad Saleem
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Evaluation of Deformable Image Registration

2015
Deformable image registration (DIR) is a type of registration that calculates a deformable vector field (DVF) between two image data sets and permits contour and dose propagation. However the calculation of a DVF is considered an ill-posed problem, as there is no exact solution to a deformation problem, therefore all DVFs calculated contain errors.
openaire   +2 more sources

QUANTITATIVE EVALUATION OF DEFORMABLE IMAGE REGISTRATION

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
In this paper, a concept based on unbalanced energy is proposed to evaluate deformable registration algorithms. The new concept is demonstrated through the comparison of the ITK "demons" algorithm and thin-plate spline interpolation, performed on a prostate patient's CT images.
Hualiang Zhong, Jeffrey Siebers
openaire   +1 more source

Deformable image registration with geometric changes

Frontiers of Information Technology & Electronic Engineering, 2015
Geometric changes present a number of difficulties in deformable image registration. In this paper, we propose a global deformation framework to model geometric changes whilst promoting a smooth transformation between source and target images. To achieve this, we have developed an innovative model which significantly reduces the side effects of ...
Yu Liu, Bo Zhu
openaire   +1 more source

Deformable Image Registration with Hyperelastic Warping

2007
The extraction of quantitative information regarding growth and deformation from series of image data is of significant importance in many fields of science and medicine. Imaging techniques such as MRI, CT and ultrasound provide a means to examine the morphology and in some cases metabolism of tissues.
Alexander I. Veress, Nikhil Phatak, Jeffrey A. Weiss   +2 more
openaire   +1 more source

Sliding Geometries in Deformable Image Registration

2012
Regularization is used in deformable image registration to encourage plausible displacement fields, and significantly impacts the derived correspondences. Sliding motion, such as that between the lungs and chest wall and between the abdominal organs, complicates registration because many regularizations are global smoothness constraints that produce ...
Danielle F. Pace, Marc Niethammer, Stephen R. Aylward   +2 more
openaire   +1 more source

Image-based profiling for drug discovery: due for a machine-learning upgrade?

Nature Reviews Drug Discovery, 2020
Srinivas Niranj Chandrasekaran, Hugo Ceulemans, Anne E Carpenter   +2 more
exaly  

11. Deformable Image Registration and Dose Warping

Japanese Journal of Radiological Technology, 2021
openaire   +2 more sources

Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network

Information Fusion, 2022
Linfeng Tang, Jiteng Yuan, Jiayi
exaly  

PIAFusion: A progressive infrared and visible image fusion network based on illumination aware

Information Fusion, 2022
Linfeng Tang, Jiteng Yuan, Hao Zhang
exaly