Unsupervised lung ct image registration via stochastic decomposition of deformation fields
We address the problem of lung CT image registration, which underpins various diagnoses
and treatments for lung diseases. The main crux of the problem is the large deformation that …
and treatments for lung diseases. The main crux of the problem is the large deformation that …
3D optical flow for large CT data of materials microstructures
We compute three‐dimensional displacement vector fields to estimate the deformation of
microstructural data sets in mechanical tests. For this, we extend the well‐known optical flow …
microstructural data sets in mechanical tests. For this, we extend the well‐known optical flow …
An operator-splitting approach for variational optimal control formulations for diffeomorphic shape matching
We present formulations and numerical algorithms for solving diffeomorphic shape matching
problems. We formulate shape matching as a variational problem governed by a dynamical …
problems. We formulate shape matching as a variational problem governed by a dynamical …
Measure-Valued Variational Models with Applications in Image Processing
T Vogt - 2020 - research.uni-luebeck.de
Abstract Im Zentrum dieser Arbeit stehen maßwertige Modelle für die Bildverarbeitung.
Solche Modelle dienen einerseits als mathematischer Rahmen für die Handhabung von …
Solche Modelle dienen einerseits als mathematischer Rahmen für die Handhabung von …
A discretize–optimize approach for lddmm registration
Large deformation diffeomorphic metric mapping (LDDMM) is a popular approach for
deformable image registration with nice mathematical properties. LDDMM encodes spatial …
deformable image registration with nice mathematical properties. LDDMM encodes spatial …
Estimation of Motion Vector Fields of Complex Microstructures by Time Series of Volume Images
T Nogatz - 2023 - kluedo.ub.rptu.de
Mechanical tests form one of the pillars in development and assessment of modern
materials. In a world that will be forced to handle its resources more carefully in the near …
materials. In a world that will be forced to handle its resources more carefully in the near …
[PDF][PDF] Maschinelles Lernen für Momentum-basierte Bildregistrierung
S Häger, J Lellmann, M Niethammer - mic.uni-luebeck.de
In dieser Arbeit wird eine neue Methode des maschinellen Lernens für Momentumbasierte
Bildregistrierung vorgestellt. Sie besteht aus einem zweischrittigen Verfahren, das aus …
Bildregistrierung vorgestellt. Sie besteht aus einem zweischrittigen Verfahren, das aus …
Efficient algorithms for geodesic shooting in diffeomorphic image registration
F Huber - 2019 - elib.uni-stuttgart.de
Diffeomorphic image registration is a common problem in medical image analysis. Here,
one searches for a diffeomorphic deformation that maps one image (the moving or template …
one searches for a diffeomorphic deformation that maps one image (the moving or template …
[PDF][PDF] SIMULATION TECHNOLOGY DEGREE COURSE
F HUBER - 2019 - core.ac.uk
Diffeomorphic image registration is a common problem in medical image analysis. Here,
one searches for a diffeomorphic deformation that maps one image (the moving or template …
one searches for a diffeomorphic deformation that maps one image (the moving or template …