Papers Diffeomorphic Medical Image Registration
“Diffeomorphic Medical Image Registration” 태그가 달린 논문 11편 · 필터 해제
A Symmetric Dynamic Learning Framework for Diffeomorphic Medical Image Registration
Diffeomorphic image registration is crucial for various medical imaging applications because it can preserve the topology of the transformation. This study introduces DCCNN-LSTM-Reg, a learning framework that evolves dyn…
Diffeomorphic Medical Image RegistrationImage RegistrationMedical Image Registration$\texttt{NePhi}$: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration
This work proposes NePhi, a generalizable neural deformation model which results in approximately diffeomorphic transformations. In contrast to the predominant voxel-based transformation fields used in learning-based reg…
Diffeomorphic Medical Image RegistrationImage RegistrationMedical Image RegistrationReliable brain morphometry from contrast‐enhanced T1w‐MRI in patients with multiple sclerosis
Brain morphometry is usually based on non-enhanced (pre-contrast) T1-weighted MRI. However, such dedicated protocols are sometimes missing in clinical examinations. Instead, an image with a contrast agent is often availa…
3D Medical Imaging SegmentationAnatomyBrain MorphometryBrain Segmentation+3Direct cortical thickness estimation using deep learning‐based anatomy segmentation and cortex parcellation
Accurate and reliable measures of cortical thickness from magnetic resonance imaging are an important biomarker to study neurodegenerative and neurological disorders. Diffeomorphic registration‐based cortical thickness (…
3D Medical Imaging SegmentationAnatomyBrain MorphometryBrain Segmentation+2Metric Learning for Image Registration
Image registration is a key technique in medical image analysis to estimate deformations between image pairs. A good deformation model is important for high-quality estimates. However, most existing approaches use ad-hoc…
Deep LearningDeformable Medical Image RegistrationDiffeomorphic Medical Image RegistrationImage Registration+2Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
Classical deformable registration techniques achieve impressive results and offer a rigorous theoretical treatment, but are computationally intensive since they solve an optimization problem for each image pair. Recently…
Constrained Diffeomorphic Image RegistrationDeformable Medical Image RegistrationDiffeomorphic Medical Image RegistrationImage Registration+1Diffeomorphic registration with intensity transformation and missing data: Application to 3D digital pathology of Alzheimer’s disease
This paper examines the problem of diffeomorphic image mapping in the presence of differing image intensity profiles and missing data. Our motivation comes from the problem of aligning 3D brain MRI with 100 micron isotro…
3D ReconstructionDeformable Medical Image RegistrationDiffeomorphic Medical Image RegistrationImage RegistrationLearning a Probabilistic Model for Diffeomorphic Registration
We propose to learn a low-dimensional probabilistic deformation model from data which can be used for registration and the analysis of deformations. The latent variable model maps similar deformations close to each other…
Deformable Medical Image RegistrationDiffeomorphic Medical Image RegistrationMedical Image Registrationmodel+1VoxelMorph: A Learning Framework for Deformable Medical Image Registration
We present VoxelMorph, a fast learning-based framework for deformable, pairwise medical image registration. Traditional registration methods optimize an objective function for each pair of images, which can be time-consu…
Deformable Medical Image RegistrationDiffeomorphic Medical Image RegistrationImage RegistrationMedical Image Analysis+1Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction
In this paper we present a hierarchical generative model of medical image data, which can capture simultaneously the variability of both signal intensity and anatomical shapes across large populations. Such a model has a…
Diffeomorphic Medical Image RegistrationImage RegistrationMedical Image RegistrationSymmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain
One of the most challenging problems in modern neuroimaging is detailed characterization of neurodegeneration. Quantifying spatial and longitudinal atrophy patterns is an important component of this process. These spatio…
BIRLDiffeomorphic Medical Image RegistrationImage Registration