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Medical image registration: a review
This paper presents a review of automated image registration methodologies that have been
used in the medical field. The aim of this paper is to be an introduction to the field, provide …
used in the medical field. The aim of this paper is to be an introduction to the field, provide …
The Insight ToolKit image registration framework
Publicly available scientific resources help establish evaluation standards, provide a
platform for teaching and improve reproducibility. Version 4 of the Insight ToolKit (ITK4) …
platform for teaching and improve reproducibility. Version 4 of the Insight ToolKit (ITK4) …
Scalable high-performance image registration framework by unsupervised deep feature representations learning
Feature selection is a critical step in deformable image registration. In particular, selecting
the most discriminative features that accurately and concisely describe complex …
the most discriminative features that accurately and concisely describe complex …
One-shot learning for deformable medical image registration and periodic motion tracking
Deformable image registration is a very important field of research in medical imaging.
Recently multiple deep learning approaches were published in this area showing promising …
Recently multiple deep learning approaches were published in this area showing promising …
Nonrigid registration of dynamic medical imaging data using nD+ t B-splines and a groupwise optimization approach
A registration method for motion estimation in dynamic medical imaging data is proposed.
Registration is performed directly on the dynamic image, thus avoiding a bias towards a …
Registration is performed directly on the dynamic image, thus avoiding a bias towards a …
Unsupervised deep feature learning for deformable registration of MR brain images
Establishing accurate anatomical correspondences is critical for medical image registration.
Although many hand-engineered features have been proposed for correspondence …
Although many hand-engineered features have been proposed for correspondence …
iLogDemons: A demons-based registration algorithm for tracking incompressible elastic biological tissues
Tracking soft tissues in medical images using non-linear image registration algorithms
requires methods that are fast and provide spatial transformations consistent with the …
requires methods that are fast and provide spatial transformations consistent with the …
A survey of shaped-based registration and segmentation techniques for cardiac images
Heart disease is the leading cause of death in the modern world. Cardiac imaging is
routinely applied for assessment and diagnosis of cardiac diseases. Computerized image …
routinely applied for assessment and diagnosis of cardiac diseases. Computerized image …
Spatiotemporal motion estimation for respiratory‐correlated imaging of the lungs
Purpose: Four‐dimensional computed tomography (4D CT) can provide patient‐specific
motion information for radiotherapy planning and delivery. Motion estimation in 4D CT is …
motion information for radiotherapy planning and delivery. Motion estimation in 4D CT is …
Machine learning approaches for myocardial motion and deformation analysis
Information about myocardial motion and deformation is key to differentiate normal and
abnormal conditions. With the advent of approaches relying on data rather than pre …
abnormal conditions. With the advent of approaches relying on data rather than pre …