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Diffeomorphic Medical Image Registration

Diffeomorphic mapping is the underlying technology for mapping and analyzing information measured in human anatomical coordinate systems which have been measured via Medical imaging. Diffeomorphic mapping is a broad term that actually refers to a number of different algorithms, processes, and methods. It is attached to many operations and has many applications for analysis and visualization. Diffeomorphic mapping can be used to relate various sources of information which are indexed as a function of spatial position as the key index variable. Diffeomorphisms are by their Latin root structure preserving transformations, which are in turn differentiable and therefore smooth, allowing for the calculation of metric based quantities such as arc length and surface areas. Spatial location and extents in human anatomical coordinate systems can be recorded via a variety of Medical imaging modalities, generally termed multi-modal medical imagery, providing either scalar and or vector quantities at each spatial location.

( Image credit: Quicksilver )

Papers

Showing 111 of 11 papers

TitleStatusHype
A Symmetric Dynamic Learning Framework for Diffeomorphic Medical Image Registration0
NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image RegistrationCode1
Reliable brain morphometry from contrast‐enhanced T1w‐MRI in patients with multiple sclerosisCode1
Direct cortical thickness estimation using deep learning‐based anatomy segmentation and cortex parcellationCode1
Metric Learning for Image RegistrationCode0
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and SurfacesCode0
Diffeomorphic registration with intensity transformation and missing data: Application to 3D digital pathology of Alzheimer’s disease0
Learning a Probabilistic Model for Diffeomorphic Registration0
VoxelMorph: A Learning Framework for Deformable Medical Image RegistrationCode1
Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction0
Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brainCode0
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