Deep learning-based lung image registration: A review
H Xiao, X Xue, M Zhu, X Jiang, Q Xia, K Chen… - Computers in biology …, 2023 - Elsevier
Lung image registration can effectively describe the relative motion of lung tissues, thereby
helping to solve series problems in clinical applications. Since the lungs are soft and fairly …
helping to solve series problems in clinical applications. Since the lungs are soft and fairly …
LCC-Demons: a robust and accurate symmetric diffeomorphic registration algorithm
Non-linear registration is a key instrument for computational anatomy to study the
morphology of organs and tissues. However, in order to be an effective instrument for the …
morphology of organs and tissues. However, in order to be an effective instrument for the …
Geodesics, parallel transport & one-parameter subgroups for diffeomorphic image registration
Computational anatomy aims at developing models to understand the anatomical variability
of organs and tissues. A widely used and validated instrument for comparing the anatomy in …
of organs and tissues. A widely used and validated instrument for comparing the anatomy in …
Automated diffeomorphic registration of anatomical structures with rigid parts: Application to dynamic cervical MRI
O Commowick, N Wiest-Daesslé, S Prima - International Conference on …, 2012 - Springer
We propose an iterative two-step method to compute a diffeomorphic non-rigid
transformation between images of anatomical structures with rigid parts, without any user …
transformation between images of anatomical structures with rigid parts, without any user …
Capturing the multiscale anatomical shape variability with polyaffine transformation trees
Mandible fractures are classified depending on their location. In clinical practice, locations
are grouped into regions at different scales according to anatomical, functional and esthetic …
are grouped into regions at different scales according to anatomical, functional and esthetic …
Beyond Riemannian geometry: The affine connection setting for transformation groups
In computational anatomy, the statistics from the object space (images, surfaces, etc.) are
often lifted to the group of deformation acting on their embedding space. Statistics on …
often lifted to the group of deformation acting on their embedding space. Statistics on …
Higher-order momentum distributions and locally affine LDDMM registration
To achieve sparse parametrizations that allow intuitive analysis, we aim to represent
deformation with a basis containing interpretable elements, and we wish to use elements …
deformation with a basis containing interpretable elements, and we wish to use elements …
Incorporation of structural tensor and driving force into log-demons for large-deformation image registration
Y Wen, L Zhang, LH He… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Large-deformation image registration is important in theory and application in computer
vision, but is a difficult task for non-rigid registration methods. In this paper, we propose a …
vision, but is a difficult task for non-rigid registration methods. In this paper, we propose a …
Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease
In this study we introduce the regional flux analysis, a novel approach to deformation based
morphometry based on the Helmholtz decomposition of deformations parameterized by …
morphometry based on the Helmholtz decomposition of deformations parameterized by …
A novel registration-based methodology for prediction of trabecular bone fabric from clinical QCT: A comprehensive analysis
Osteoporosis leads to hip fractures in aging populations and is diagnosed by modern
medical imaging techniques such as quantitative computed tomography (QCT). Hip fracture …
medical imaging techniques such as quantitative computed tomography (QCT). Hip fracture …