Deformable medical image registration: A survey
Deformable image registration is a fundamental task in medical image processing. Among
its most important applications, one may cite: 1) multi-modality fusion, where information …
its most important applications, one may cite: 1) multi-modality fusion, where information …
Patient‐specific validation of deformable image registration in radiation therapy: overview and caveats
Over the last few decades, deformable image registration (DIR) has gained popularity in
image‐guided radiation therapy for a number of applications, such as contour propagation …
image‐guided radiation therapy for a number of applications, such as contour propagation …
Nonrigid image registration using multi-scale 3D convolutional neural networks
In this paper we propose a method to solve nonrigid image registration through a learning
approach, instead of via iterative optimization of a predefined dissimilarity metric. We design …
approach, instead of via iterative optimization of a predefined dissimilarity metric. We design …
A survey of medical image registration–under review
A retrospective view on the past two decades of the field of medical image registration is
presented, guided by the article “A survey of medical image registration”(Maintz and …
presented, guided by the article “A survey of medical image registration”(Maintz and …
Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
<? Pub Dtl=""?> EMPIRE10 (Evaluation of Methods for Pulmonary Image REgistration 2010)
is a public platform for fair and meaningful comparison of registration algorithms which are …
is a public platform for fair and meaningful comparison of registration algorithms which are …
Image similarity and tissue overlaps as surrogates for image registration accuracy: widely used but unreliable
T Rohlfing - IEEE transactions on medical imaging, 2011 - ieeexplore.ieee.org
The accuracy of nonrigid image registrations is commonly approximated using surrogate
measures such as tissue label overlap scores, image similarity, image difference, or …
measures such as tissue label overlap scores, image similarity, image difference, or …
Deep learning-based regression and classification for automatic landmark localization in medical images
In this study, we propose a fast and accurate method to automatically localize anatomical
landmarks in medical images. We employ a global-to-local localization approach using fully …
landmarks in medical images. We employ a global-to-local localization approach using fully …
Lung250M-4B: a combined 3D dataset for CT-and point cloud-based intra-patient lung registration
A popular benchmark for intra-patient lung registration is provided by the DIR-LAB
COPDgene dataset consisting of large-motion in-and expiratory breath-hold CT pairs. This …
COPDgene dataset consisting of large-motion in-and expiratory breath-hold CT pairs. This …
A reference dataset for deformable image registration spatial accuracy evaluation using the COPDgene study archive
Landmark point-pairs provide a strategy to assess deformable image registration (DIR)
accuracy in terms of the spatial registration of the underlying anatomy depicted in medical …
accuracy in terms of the spatial registration of the underlying anatomy depicted in medical …
Validating and improving CT ventilation imaging by correlating with ventilation 4D‐PET/CT using 68Ga‐labeled nanoparticles
Purpose: CT ventilation imaging is a novel functional lung imaging modality based on
deformable image registration. The authors present the first validation study of CT ventilation …
deformable image registration. The authors present the first validation study of CT ventilation …