Results 291 to 300 of about 6,533,550 (336)

HyperMorph: Amortized Hyperparameter Learning for Image Registration

Information Processing in Medical Imaging, 2021
We present HyperMorph, a learning-based strategy for deformable image registration that removes the need to tune important registration hyperparameters during training. Classical registration methods solve an optimization problem to find a set of spatial
Andrew Hoopes, Malte Hoffmann, B. Fischl, J. Guttag, Adrian V. Dalca   +4 more
semanticscholar   +1 more source

Consistent image registration

IEEE Transactions on Medical Imaging, 2001
This paper presents a new method for image registration based on jointly estimating the forward and reverse transformations between two images while constraining these transforms to be inverses of one another. This approach produces a consistent set of transformations that have less pairwise registration error, i.e., better correspondence, than ...
Hans J. Johnson, Gary E. Christensen
openaire   +3 more sources

Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020
Deep learning-based methods have recently demonstrated promising results in deformable image registration for a wide range of medical image analysis tasks.
Tony C. W. Mok, Albert C. S. Chung
semanticscholar   +1 more source

Conditional Deformable Image Registration with Convolutional Neural Network

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2021
Recent deep learning-based methods have shown promising results and runtime advantages in deformable image registration. However, analyzing the effects of hyperparameters and searching for optimal regularization parameters prove to be too prohibitive in ...
Tony C. W. Mok, Albert C. S. Chung
semanticscholar   +1 more source

Correlative image registration

Seminars in Nuclear Medicine, 1994
Image registration in nuclear medicine and radiology refers to the spatial matching or merging of two or more images from the same or different imaging modalities. The coordinates of the corresponding picture elements (pixels) from different images are transformed to align and equate their positions and spatial coordinates.
M. Ivanovic, D.A. Weber
openaire   +3 more sources

Cardiac Image Registration [PDF]

Journal of Atrial Fibrillation, 2008
Long procedure time and somewhat suboptimal results hinder the widespread use of catheter ablation of complex arrhythmias such as atrial fibrillation (AF). Due to lack of contrast differentiation between the area of interest and surrounding structures in a moving organ like heart, there is a lack of proper intraprocedural guidance using current imaging
openaire   +2 more sources

DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model

European Conference on Computer Vision, 2021
Deformable image registration is one of the fundamental tasks in medical imaging. Classical registration algorithms usually require a high computational cost for iterative optimizations.
Boah Kim, Inhwa Han, Jong-Chul Ye
semanticscholar   +1 more source

Image and watermark registration

Signal Processing, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
T. E. Hall, Charles F Osborne, A.Z. Tirkel   +2 more
openaire   +2 more sources

Medical image registration

Physics in Medicine and Biology, 2001
Radiological images are increasingly being used in healthcare and medical research. There is, consequently, widespread interest in accurately relating information in the different images for diagnosis, treatment and basic science. This article reviews registration techniques used to solve this problem, and describes the wide variety of applications to ...
Hill, D L G, Batchelor, P G, Holden, M, Hawkes, D J   +3 more
openaire   +2 more sources

A comprehensive review on remote sensing image registration

International Journal of Remote Sensing, 2021
Over the last two decades, there has been a significant improvement in the quality and volume of the remote-sensing images. With the extensive availability of the images, these are used in many applications such as change detection, image mosaicing, and ...
S. Paul, U. C. Pati
semanticscholar   +1 more source