Results 11 to 20 of about 6,926,035 (356)

An Unsupervised Learning Model for Deformable Medical Image Registration [PDF]

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
We present a fast learning-based algorithm for deformable, pairwise 3D medical image registration. Current registration methods optimize an objective function independently for each pair of images, which can be time-consuming for large data.
Guha Balakrishnan, Amy Zhao, M. Sabuncu, J. Guttag, Adrian V. Dalca   +4 more
semanticscholar   +3 more sources

Image similarity metrics in image registration [PDF]

SPIE Proceedings, 2010
Measures of image similarity that inspect the intensity probability distribution of the images have proved extremely popular in image registration applications. The joint entropy of the intensity distributions and the marginal entropies of the individual images are combined to produce properties such as resistance to loss of information in one image ...
Melbourne A., Ridgway G., Hawkes D.J.
openaire   +4 more sources

Metric Learning for Image Registration [PDF]

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Image registration is a key technique in medical image analysis to estimate deformations between image pairs. A good deformation model is important for high-quality estimates. However, most existing approaches use ad-hoc deformation models chosen for mathematical convenience rather than to capture observed data variation.
Niethammer, Marc, Kwitt, Roland, Vialard, François-Xavier   +2 more
openaire   +6 more sources

Image Registration Techniques: A Survey [PDF]

, 2017
Image Registration is the process of aligning two or more images of the same scene with reference to a particular image. The images are captured from various sensors at different times and at multiple view-points. Thus to get a better picture of any change of a scene/object over a considerable period of time image registration is important.
Nag, Sayan
openaire   +5 more sources

A deep learning framework for unsupervised affine and deformable image registration [PDF]

Medical Image Anal., 2018
Image registration, the process of aligning two or more images, is the core technique of many (semi-)automatic medical image analysis tasks. Recent studies have shown that deep learning methods, notably convolutional neural networks (ConvNets), can be ...
B. D. Vos, F. Berendsen, M. Viergever, Hessam Sokooti, M. Staring, I. Išgum   +5 more
semanticscholar   +4 more sources

XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention [PDF]

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
An effective backbone network is important to deep learning-based Deformable Medical Image Registration (DMIR), because it extracts and matches the features between two images to discover the mutual correspondence for fine registration.
Jiacheng Shi, Yuting He, Youyong Kong, J. Coatrieux, H. Shu, Guanyu Yang, Shuo Li   +6 more
semanticscholar   +1 more source

Affine Medical Image Registration with Coarse-to-Fine Vision Transformer [PDF]

Computer Vision and Pattern Recognition, 2022
Affine registration is indispensable in a comprehensive medical image registration pipeline. However, only a few studies focus on fast and robust affine registration algorithms.
Tony C. W. Mok, Albert C. S. Chung
semanticscholar   +1 more source

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning [PDF]

IEEE Transactions on Medical Imaging, 2021
Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medical image registration approaches on a wide range of clinically relevant ...
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, H. Siebert, S. Hager, Annkristin Lange, Sven Kuckertz, S. Heldmann, Wei Shao, Sulaiman Vesal, M. Rusu, G. Sonn, T. Estienne, M. Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yael Balbastre, Samuel Joutard, M. Modat, Gal Lifshitz, D. Raviv, Jinxin Lv, Qiang Li, V. Jaouen, D. Visvikis, Constance Fourcade, M. Rubeaux, Wen-Qian Pan, Zhe Xu, Bailiang Jian, F. Benetti, Marek Wodziński, N. Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Grossbrohmer, Andrew Hoopes, I. Reinertsen, Yiming Xiao, B. Landman, Yuankai Huo, K. Murphy, B. Ginneken, Adrian V. Dalca, M. Heinrich   +46 more
semanticscholar   +1 more source

Symmetric image registration [PDF]

Medical Image Analysis, 2003
This paper presents an original non-rigid image registration approach, which tends to improve the registration by establishing a symmetric image interdependence. In order to gather more information about the image transformation it measures the image similarity in both registration directions.
Stanislav Kovačič, Peter Rogelj
openaire   +4 more sources

A Hybrid 3D-2D Image Registration Framework for Pedicle Screw Trajectory Registration between Intraoperative X-ray Image and Preoperative CT Image

Journal of Imaging, 2022
Pedicle screw insertion is considered a complex surgery among Orthopaedics surgeons. Exclusively to prevent postoperative complications associated with pedicle screw insertion, various types of image intensity registration-based navigation systems have ...
Roshan Ramakrishna Naik, Anitha Hoblidar, Shyamasunder N. Bhat, Nishanth Ampar, Raghuraj Kundangar   +4 more
doaj   +1 more source