CLAIRE: A Distributed-Memory Solver for Constrained Large Deformation Diffeomorphic Image Registration (Q5241263)

scientific article; zbMATH DE number 7124602

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English	CLAIRE: A Distributed-Memory Solver for Constrained Large Deformation Diffeomorphic Image Registration	scientific article; zbMATH DE number 7124602

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instance of

scholarly article

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title

CLAIRE: A Distributed-Memory Solver for Constrained Large Deformation Diffeomorphic Image Registration (English)

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SIAM Journal on Scientific Computing

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publication date

30 October 2019

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full work available at URL

https://arxiv.org/abs/1808.04487

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zbMATH Keywords

diffeomorphic image registration

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LDDMM

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Newton-Krylov method

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KKT preconditioner

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optimal control

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distributed-memory algorithm

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PDE-constrained optimization

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describes a project that uses

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Fast Algorithms for Source Identification Problems with Elliptic PDE Constraints

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Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints

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A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems

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Simultaneous optical flow and source estimation: space-time discretization and preconditioning

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A Black Box Generalized Conjugate Gradient Solver with Inner Iterations and Variable-Step Preconditioning

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Diffeomorphic Matching and Dynamic Deformable Surfaces in 3d Medical Imaging

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An optimal control approach to the optical flow problem

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Computing large deformation metric mappings via geodesic flows of diffeomorphisms

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Numerical solution of saddle point problems

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A preconditioning technique for a class of PDE-constrained optimization problems

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Real-Time PDE-Constrained Optimization

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Large-scale PDE-constrained optimization

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A multilevel algorithm for inverse problems with elliptic PDE constraints

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Parallel Lagrange--Newton--Krylov--Schur Methods for PDE-Constrained Optimization. Part I: The Krylov--Schur Solver

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Parallel Lagrange--Newton--Krylov--Schur Methods for PDE-Constrained Optimization. Part II: The Lagrange--Newton Solver and Its Application to Optimal Control of Steady Viscous Flows

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Optimal Control Formulation for Determining Optical Flow

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Computational Optimization of Systems Governed by Partial Differential Equations

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Q4821526

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A Multigrid Tutorial, Second Edition

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A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems Part I: The Linearized Case, with Application to Global Seismic Inversion

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A Hyperelastic Regularization Energy for Image Registration

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Image sequence interpolation using optimal control

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Inexact Newton Methods

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Variational problems on flows of diffeomorphisms for image matching

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Choosing the Forcing Terms in an Inexact Newton Method

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Q4895893

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Convergence Analysis for a Class of High-Order Semi-Lagrangian Advection Schemes

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Ill-posed medicine—an introduction to image registration

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Geodesic Image Regression with a Sparse Parameterization of Diffeomorphisms

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An inverse problem formulation for parameter estimation of a reaction-diffusion model of low grade gliomas

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Coupling brain-tumor biophysical models and diffeomorphic image registration

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Chebyshev semi-iterative methods, successive overrelaxation iterative methods, and second order Richardson iterative methods. I, II

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Perspectives in Flow Control and Optimization

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The Chebyshev iteration revisited

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A Multilevel Method for the Solution of Time Dependent Optimal Transport

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A GCV based method for nonlinear ill-posed problems

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Rank-Deficient and Discrete Ill-Posed Problems

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Registration of anatomical images using paths of diffeomorphisms parameterized with stationary vector field flows

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Fast iterative solvers for an optimal transport problem

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Methods of conjugate gradients for solving linear systems

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Optimization with PDE Constraints

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Determining optical flow

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Line Search Multilevel Optimization as Computational Methods for Dense Optical Flow

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On the regularizing properties of a full multigrid method for ill-posed problems

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V-cycle convergence of some multigrid methods for ill-posed problems

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On the construction of preconditioners by subspace decomposition

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A Matrix-Free Approach to Parallel and Memory-Efficient Deformable Image Registration

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An optimal control formulation of an image registration problem

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Analysis of Finite Element Discretizations of an Optimal Control Formulation of the Image Registration Problem

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Q5601627

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Geodesics, parallel transport \& one-parameter subgroups for diffeomorphic image registration

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An Inexact Newton--Krylov Algorithm for Constrained Diffeomorphic Image Registration

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Constrained $H^1$-Regularization Schemes for Diffeomorphic Image Registration

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A Semi-Lagrangian Two-Level Preconditioned Newton--Krylov Solver for Constrained Diffeomorphic Image Registration

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CLAIRE: A Distributed-Memory Solver for Constrained Large Deformation Diffeomorphic Image Registration

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PDE-constrained optimization in medical image analysis

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A Lagrangian Gauss--Newton--Krylov Solver for Mass- and Intensity-Preserving Diffeomorphic Image Registration

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Geodesic shooting for computational anatomy

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Group actions, homeomorphisms, and matching: A general framework

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Q4441256

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FAIR

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On the Application of the Monge–Kantorovich Problem to Image Registration

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Q5491447

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Flexible Conjugate Gradients

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Parallel Full Space SQP Lagrange--Newton--Krylov--Schwarz Algorithms for PDE-Constrained Optimization Problems

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Reduced order solution of structured linear systems arising in certain PDE-constrained optimization problems

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A Low-Rank in Time Approach to PDE-Constrained Optimization

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Diffeomorphic 3D image registration via geodesic shooting using an efficient adjoint calculation

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Discretely exact derivatives for hyperbolic PDE-constrained optimization problems discretized by the discontinuous Galerkin method

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Jacobi fields in groups of diffeomorphisms and applications

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Shapes and diffeomorphisms

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Identifiers

zbMATH Open document ID

1490.65123

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DOI

10.1137/18M1207818

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:5241263