Results 21 to 30 of about 396,477 (272)

Toward Computing Cross-Modality Symmetric Non-Rigid Medical Image Registration

IEEE Access, 2022
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 rotational angiography.
Snigdha Mohanty, Sarada Prasad Dakua
doaj   +1 more source

Geostatistical Medical Image Registration [PDF]

, 2003
894
Ruiz-Alzola, J., Suarez, E., Alberola-Lopez, C., Warfield, S. K., Westin, C. F.   +4 more
openaire   +2 more sources

Groupwise Multimodal Image Registration using Joint Total Variation [PDF]

, 2020
In medical imaging it is common practice to acquire a wide range of modalities (MRI, CT, PET, etc.), to highlight different structures or pathologies.
A Collignon, A Myronenko, A Roche, AV Cideciyan, C Studholme, C Wachinger, C Wu, DL Hill, DN Greve, E Haber, F Maes, FP Oliveira, G Sapiro, J Ashburner, J Huang, J Orchard, JBA Maintz, JP Lewis, JP Pluim, JV Hajnal, M Brudfors, M Polfliet, P Blomgren, P Gerlot-Chiron, P Snape, P Viola, RP Woods, RP Woods, WH Press, WM Wells III, X Bresson, ZS Saad, Ž Spiclin   +32 more
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Medical image registration using geometric hashing [PDF]

IEEE Computational Science and Engineering, 1997
To carefully compare pictures of the same thing taken from different views, the images must first be registered, or aligned so as to best superimpose them. Results show that two geometric hashing methods, based respectively on curves and characteristic features, can be used to compute 3D transformations that automatically register medical images of the
Guéziec, André, Pennec, Xavier, Ayache, Nicholas   +2 more
openaire   +2 more sources

Current trends in medical image registration and fusion

Egyptian Informatics Journal, 2016
Recently, medical image registration and fusion processes are considered as a valuable assistant for the medical experts. The role of these processes arises from their ability to help the experts in the diagnosis, following up the diseases’ evolution ...
Fatma El-Zahraa Ahmed El-Gamal, Mohammed Elmogy, Ahmed Atwan   +2 more
doaj   +1 more source

DTR-GAN: An Unsupervised Bidirectional Translation Generative Adversarial Network for MRI-CT Registration

Applied Sciences, 2023
Medical image registration is a fundamental and indispensable element in medical image analysis, which can establish spatial consistency among corresponding anatomical structures across various medical images.
Aolin Yang, Tiejun Yang, Xiang Zhao, Xin Zhang, Yanghui Yan, Chunxia Jiao   +5 more
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Learning Rigid Image Registration - Utilizing Convolutional Neural Networks for Medical Image Registration [PDF]

, 2018
Many traditional computer vision tasks, such as segmentation, have seen large step-changes in accuracy and/or speed with the application of Convolutional Neural Networks (CNNs).
Goatman, K.A., Siebert, J.P., Sloan, J.M.   +2 more
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Homologous point transformer for multi-modality prostate image registration [PDF]

PeerJ Computer Science, 2022
Registration is the process of transforming images so they are aligned in the same coordinate space. In the medical field, image registration is often used to align multi-modal or multi-parametric images of the same organ.
Alexander Ruchti, Alexander Neuwirth, Allison K. Lowman, Savannah R. Duenweg, Peter S. LaViolette, John D. Bukowy   +5 more
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macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MIND

BioMedical Engineering OnLine, 2023
Deformable multimodal image registration plays a key role in medical image analysis. It remains a challenge to find accurate dense correspondences between multimodal images due to the significant intensity distortion and the large deformation. macJNet is
Zhiyong Zhou, Ben Hong, Xusheng Qian, Jisu Hu, Minglei Shen, Jiansong Ji, Yakang Dai   +6 more
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Attention Guided Policy Optimization for 3D Medical Image Registration

IEEE Access, 2023
Learning-based image registration approaches typically learn to map from input images to a transformation matrix. Regarding the current deep-learning-based image rigid registration approaches learn a transformation matrix in a one-shot way.
Jing Hu, Zhikun Shuai, Xin Wang, Shu Hu, Shanhui Sun, Siwei Lyu, Xi Wu   +6 more
doaj   +1 more source