htmlabstractCurrently, two major challenges dominate the field of deformable image registration. The first challenge is related to the tuning of the developed methods to specific problems (i.e. how to best combine different objectives such as similarity measure and transformation effort). This is one of the reasons why, despite significant progress, clinical implementation of such techniques has proven to be difficult. The second challenge is to account for large anatomical differences (e.g. large deformations, (dis)appearing structures) that occurred between image acquisitions. In this paper, we study a framework based on multi-objective optimization to improve registration robustness and to simplify tuning for specific applications. Withi...
Multiresolution strategies are commonly used in the nonrigid registration to avoid local minima in t...
Incorporating additional guidance information, e.g., landmark/contour correspondence, in deformable ...
Common problems in medical image analysis involve surface-based registration. The applications range...
Currently, two major challenges dominate the field of deformable image registration. The first chall...
Some of the hardest problems in deformable image registration are problems where large anatomical di...
textabstractTaking a multi-objective optimization approach to deformable image registration has rece...
We recently demonstrated the strong potential of using dual-dynamic transformation models when tackl...
textabstractDeformable image registration is typically formulated as an optimization problem involvi...
textabstractDeformable image registration is currently predominantly solved by optimizing a weighted...
htmlabstractThe use of gradient information is well-known to be highly useful in single-objective op...
Reliably and physically accurately transferring information between images through deformable image ...
Current state-of-the-art medical deformable image registration (DIR) methods optimize a weighted sum...
Current state-of-the-art medical deformable image registration (DIR) methods optimize a weighted sum...
Deformable image registration (DIR), the process of deforming one image to match another, is an imag...
htmlabstractGradient methods and their value in single-objective, real-valued optimization are well...
Multiresolution strategies are commonly used in the nonrigid registration to avoid local minima in t...
Incorporating additional guidance information, e.g., landmark/contour correspondence, in deformable ...
Common problems in medical image analysis involve surface-based registration. The applications range...
Currently, two major challenges dominate the field of deformable image registration. The first chall...
Some of the hardest problems in deformable image registration are problems where large anatomical di...
textabstractTaking a multi-objective optimization approach to deformable image registration has rece...
We recently demonstrated the strong potential of using dual-dynamic transformation models when tackl...
textabstractDeformable image registration is typically formulated as an optimization problem involvi...
textabstractDeformable image registration is currently predominantly solved by optimizing a weighted...
htmlabstractThe use of gradient information is well-known to be highly useful in single-objective op...
Reliably and physically accurately transferring information between images through deformable image ...
Current state-of-the-art medical deformable image registration (DIR) methods optimize a weighted sum...
Current state-of-the-art medical deformable image registration (DIR) methods optimize a weighted sum...
Deformable image registration (DIR), the process of deforming one image to match another, is an imag...
htmlabstractGradient methods and their value in single-objective, real-valued optimization are well...
Multiresolution strategies are commonly used in the nonrigid registration to avoid local minima in t...
Incorporating additional guidance information, e.g., landmark/contour correspondence, in deformable ...
Common problems in medical image analysis involve surface-based registration. The applications range...