Results 291 to 300 of about 37,523 (330)

Deformable Registration for IGT

2013
Intra-procedural imaging has led to dramatic advances in medicine by enabling interventions that were previously not feasible, reducing negative side effects, and improving clinical outcomes over a broad domain of clinical applications. The broad objective of image registration applied to image-guided procedures is to fuse the variety of information ...
Andriy Fedorov, Petter Risholm, William M. Wells   +2 more
openaire   +1 more source

Local statistical deformation models for deformable image registration

Neurocomputing, 2018
Abstract A fast and robust image registration algorithm for high-dimensional brain Magnetic Resonance images was developed based on the statistical deformation models (SDMs). This model learns deformation fields and achieves fast and robust registration by greatly reducing transformation dimensionality.
Songyuan Tang, Weijian Cong, Jian Yang 0009, Tianyu Fu 0003, Hong Song, Danni Ai, Yongtian Wang   +6 more
openaire   +1 more source

Deformable Image Registration Based on Functions of Bounded Generalized Deformation

International Journal of Computer Vision, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ziwei Nie, Chen Li, Hairong Liu, Xiaoping Yang 0001   +3 more
openaire   +2 more sources

On Combining Algorithms for Deformable Image Registration

2012
We propose a meta-algorithm for registration improvement by combining deformable image registrations (MetaReg). It is inspired by a well-established method from machine learning, the combination of classifiers. MetaReg consists of two main components: (1) A strategy for composing an improved registration by combining deformation fields from different ...
Sascha E. A. Muenzing, Bram van Ginneken, Josien P. W. Pluim   +2 more
openaire   +1 more source

DEFORMABLE REGISTRATION OF DTI AND SPGR IMAGES

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Registration of DTI data with structure data, such as SPGR data, has import application in quantitative analysis of brain microstructures such as tissue diffusivity. However, due to potential problems such as EPI geometric distortion, partial volume effect and image reslicing errors, accurate registration of these two types of MRI images is challenging.
Hai Li 0006, Tianming Liu 0001, Lei Guo 0002, Stephen T. C. Wong   +3 more
openaire   +1 more source

Breast Image Registration and Deformation Modeling

Critical Reviews™ in Biomedical Engineering, 2012
Image-based examination of the breast facilitates the detection of breast diseases, particularly of present benign and malignant lesions. For computer-aided processing of serial and multimodal clinical data, both for visual correlation and quantitative analysis, automated image-registration methods are an indispensable tool.
Tobias, Boehler, Fabian, Zoehrer, Markus, Harz, Horst Karl, Hahn   +3 more
openaire   +2 more sources

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

Modeling topological changes in deformable registration

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Topological changes are common in brain MR images for aging or disease studies. For deformable registration algorithms, which are formulated as a variational problem and solved by the minimization of certain energy functional, topological changes can cause false deformation in the resulting vector field, and affect algorithm convergence.
Xiaoxing Li, Chris Wyatt 0001
openaire   +1 more source

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 V. Siebers
openaire   +1 more source

Dynamic meshing for deformable image registration

Computer-Aided Design, 2015
Finite element method (FEM) is commonly used for deformable image registration. However, there is no existing literature studying how the superimposed mesh structure would influence the image registration process. We study this problem in this paper, and propose a dynamic meshing strategy to generate mesh structure for image registration.
Yiqi Cai, Xiaohu Guo, Zichun Zhong, Weihua Mao   +3 more
openaire   +1 more source