-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing

X Luo, X Zhuang - IEEE Transactions on Pattern Analysis and …, 2022 - ieeexplore.ieee.org
This article presents a generic probabilistic framework for estimating the statistical
dependency and finding the anatomical correspondences among an arbitrary number of …

Sensitivity encoding for aligned multishot magnetic resonance reconstruction

L Cordero-Grande, RPAG Teixeira… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
This paper introduces a framework for the reconstruction of magnetic resonance images in
the presence of rigid motion. The rationale behind our proposal is to make use of the partial …

Nonrigid groupwise registration for motion estimation and compensation in compressed sensing reconstruction of breath‐hold cardiac cine MRI

J Royuela‐del‐Val, L Cordero‐Grande… - Magnetic resonance …, 2016 - Wiley Online Library
Purpose Compressed sensing methods with motion estimation and compensation
techniques have been proposed for the reconstruction of accelerated dynamic MRI …

An open benchmark challenge for motion correction of myocardial perfusion MRI

B Pontré, BR Cowan, E DiBella… - IEEE journal of …, 2016 - ieeexplore.ieee.org
Cardiac magnetic resonance perfusion examinations enable noninvasive quantification of
myocardial blood flow. However, motion between frames due to breathing must be corrected …

Jacobian weighted temporal total variation for motion compensated compressed sensing reconstruction of dynamic MRI

J Royuela‐del‐Val, L Cordero‐Grande… - Magnetic resonance …, 2017 - Wiley Online Library
Purpose To eliminate the need of spatial intraframe regularization in a recently reported
dynamic MRI compressed‐sensing‐based reconstruction method with motion compensation …

Noise reduction and motion elimination in low-dose 4D myocardial computed tomography perfusion (CTP): preliminary clinical evaluation of the ASTRA4D algorithm

S Lukas, S Feger, M Rief, E Zimmermann, M Dewey - European radiology, 2019 - Springer
Objectives To propose and evaluate a four-dimensional (4D) algorithm for joint motion
elimination and spatiotemporal noise reduction in low-dose dynamic myocardial computed …

[HTML][HTML] Efficient convolution-based pairwise elastic image registration on three multimodal similarity metrics

RM Menchón-Lara, F Simmross-Wattenberg… - Signal Processing, 2023 - Elsevier
This paper proposes a complete convolutional formulation for 2D multimodal pairwise image
registration problems based on free-form deformations. We have reformulated in terms of …

Groupwise non-rigid registration with deep learning: an affordable solution applied to 2D cardiac cine MRI reconstruction

E Martín-González, T Sevilla, A Revilla-Orodea… - Entropy, 2020 - mdpi.com
Groupwise image (GW) registration is customarily used for subsequent processing in
medical imaging. However, it is computationally expensive due to repeated calculation of …

Fast 4D elastic group-wise image registration. Convolutional interpolation revisited

RM Menchón-Lara, J Royuela-del-Val… - Computer Methods and …, 2021 - Elsevier
Abstract Background and Objective: This paper proposes a new and highly efficient
implementation of 3D+ t groupwise registration based on the free-form deformation …

[HTML][HTML] Convolution-based free-form deformation for multimodal groupwise registration

RM Menchón-Lara, F Simmross-Wattenberg… - Signal Processing, 2023 - Elsevier
Recently, an efficient implementation of convolution-based free form deformations (FFD) has
been proposed for both groupwise 3D monomodal and 2D pairwise multimodal …