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The ANACONDA algorithm for deformable image registration in radiotherapy
Medical Physics, 2015Purpose:The purpose of this work was to describe a versatile algorithm for deformable image registration with applications in radiotherapy and to validate it on thoracic 4DCT data as well as CT/cone beam CT (CBCT) data.Methods:ANAtomically CONstrained Deformation Algorithm (ANACONDA) combines image information (i.e., intensities) with anatomical ...
Ola, Weistrand, Stina, Svensson
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Automated landmark-guided deformable image registration
Physics in Medicine and Biology, 2014The purpose of this work is to develop an automated landmark-guided deformable image registration (LDIR) algorithm between the planning CT and daily cone-beam CT (CBCT) with low image quality. This method uses an automated landmark generation algorithm in conjunction with a local small volume gradient matching search engine to map corresponding ...
Vasant, Kearney +9 more
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Collocation for Diffeomorphic Deformations in Medical Image Registration
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018Diffeomorphic deformation is a popular choice in medical image registration. A fundamental property of diffeomorphisms is invertibility, implying that once the relation between two points A to B is found, then the relation B to A is given per definition.
Sune, Darkner +11 more
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Evaluation of Deformable Image Registration
2015Deformable 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.
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Multiscale unsupervised network for deformable image registration
Journal of X-Ray Science and TechnologyBACKGROUND: Deformable image registration (DIR) plays an important part in many clinical tasks, and deep learning has made significant progress in DIR over the past few years. OBJECTIVE: To propose a fast multiscale unsupervised deformable image registration (referred to as FMIRNet) method for monomodal image registration.
Yun, Wang +3 more
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A framework for shape matching in deformable image registration.
Studies in health technology and informatics, 2008Many existing image registration methods have difficulties in accurately describing significant rotation and bending of entities (e.g. organs) between two datasets. A common problem in this case is to ensure that the resulting registration is physically plausible, i.e.
Noe, Karsten Østergaard +3 more
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Adaptive deformable image registration of inhomogeneous tissues
SPIE Proceedings, 2015Physics based deformable registration can provide physically consistent image match of deformable soft tissues. In order to help radiologist/surgeons to determine the status of malicious tumors, we often need to accurately align the regions with embedded tumors.
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Deformable Image Registration by Adaptive Gaussian Forces
2004This paper introduces a novel physics-based approach to elastic image registration. It is based on applying Gaussian-shaped forces at irregularly distributed control points in the image, which is considered to be an infinite elastic continuum. The positions of the control points, the directions and magnitudes of the applied forces as well as their ...
Vladimir Pekar, Evgeny Gladilin
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Multi-strategy mutual learning network for deformable medical image registration
Neurocomputing, 2022Wenming Cao, Ye Duan, Guitao Cao
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Deep‐learning based fast and accurate 3D CT deformable image registration in lung cancer
Medical Physics, 2023Hongying Feng, Yunze Yang
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