-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing
This article presents a generic probabilistic framework for estimating the statistical
dependency and finding the anatomical correspondences among an arbitrary number of …
dependency and finding the anatomical correspondences among an arbitrary number of …
Toward computing cross-modality symmetric non-rigid medical image registration
S Mohanty, SP Dakua - IEEE Access, 2022 - ieeexplore.ieee.org
This paper describes a new non-rigid approach to register images from same-and cross-
imaging modalities such as magnetic resonance imaging, computed tomography, and 3D …
imaging modalities such as magnetic resonance imaging, computed tomography, and 3D …
Deep group-wise registration for multi-spectral images from fundus images
T Che, Y Zheng, J Cong, Y Jiang, Y Niu, W Jiao… - IEEE …, 2019 - ieeexplore.ieee.org
Multi-spectral imaging (MSI) is a novel non-invasive tool for visualizing the entire span of the
eye, from the internal limiting membrane to the choroid. However, spatial misalignments can …
eye, from the internal limiting membrane to the choroid. However, spatial misalignments can …
Reduction of motion effects in myocardial arterial spin labeling
V Aramendía‐Vidaurreta, PM Gordaliza… - Magnetic …, 2022 - Wiley Online Library
Purpose To evaluate the accuracy and reproducibility of myocardial blood flow
measurements obtained under different breathing strategies and motion correction …
measurements obtained under different breathing strategies and motion correction …
Dgr-net: Deep groupwise registration of multispectral images
Groupwise registration of multispectral images (MSI) is clinically essential to facilitate
accurate information fusion across different modalities. However, the groupwise registration …
accurate information fusion across different modalities. However, the groupwise registration …
[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 …
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 …
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 …
implementation of 3D+ t groupwise registration based on the free-form deformation …
Quantitative hemodynamic assessment of stenotic below‐the‐knee arteries using spatio‐temporal bolus tracking on 4D‐CT angiography
Background Peripheral arterial disease (PAD) is a chronic occlusive disease that restricts
blood flow in the lower limbs, causing partial or complete blockages of the blood flow. While …
blood flow in the lower limbs, causing partial or complete blockages of the blood flow. While …
Evaluating registrations of serial sections with distortions of the ground truths
O Lobachev, T Funatomi, A Pfaffenroth, R Förster… - Ieee …, 2021 - ieeexplore.ieee.org
Registration of histological serial sections is a challenging task. Serial sections exhibit
distortions and damage from sectioning. Missing information on how the tissue looked …
distortions and damage from sectioning. Missing information on how the tissue looked …