Results 11 to 20 of about 920,907 (239)

The effective combination of haptic and auditory textural information [PDF]

, 2001
With the increasing availability and quality of auditory and haptic means of interaction, it is not unusual to incorporate many modalities in interfaces rather than the purely visual. The user can be powerfully affected however when information presented
McGee, M.R., Phil Gray, Brewster, S.A., Marilyn Rose Mc Gee, Stephen Brewster, Gray, P.D.G.   +5 more
core   +9 more sources

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
doaj   +1 more source

MMORF-FSL's MultiMOdal Registration Framework. [PDF]

Imaging Neurosci (Camb)
We present MMORF—FSL’s MultiMOdal Registration Framework—a newly released nonlinear image registration tool designed primarily for application to magnetic resonance imaging (MRI) images of the brain.
Lange FJ, Arthofer C, Bartsch A, Douaud G, McCarthy P, Smith SM, Andersson JLR.   +6 more
europepmc   +2 more sources

A Spatiotemporal Agent for Robust Multimodal Registration

IEEE Access, 2020
Multimodal image registration is a crucial step for a variety of medical applications to provide complementary information from the combination of various data sources.
Ziwei Luo, Xin Wang, Xi Wu, Youbing Yin, Kunlin Cao, Qi Song, Jing Hu   +6 more
doaj   +1 more source

Feature-Based Registration Framework for Pedicle Screw Trajectory Registration Between Multimodal Images

IEEE Access, 2023
Pedicle screw placement for vertebral fixation is a complicated surgery for orthopaedic surgeons. The main challenge is to estimate the accurate trajectory’s position to minimize post-operative complications related to pedicle screw placement ...
Ushakiran, Roshan Ramakrishna Naik, Anitha. H, Shyamasunder N. Bhat   +3 more
doaj   +1 more source

BRIFT: A Binary Descriptor for Multi-Modal Image Registration [PDF]

Hangkong bingqi, 2023
Using radiation-variation insensitivity feature transform (RIFT) to calculate feature descriptors and perform feature matching on the maximum index map (MIM) is time-consuming.
Xu Kaikai, Guo Pengcheng, Wang Jingjing
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
doaj   +1 more source

Multimodal Urban Remote Sensing Image Registration Via Roadcross Triangular Feature

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Automatic image registration of multimodal urban remote sensing images remains a critical challenging task in remote sensing image analysis due to significant nonlinear radiation distortions between multimodal image pairs; most of the traditional methods
Kun Yu, Xiao Zheng, Bin Fang, Pei An, Xiao Huang, Wei Luo, Junfeng Ding, Zhao Wang, Jie Ma   +8 more
doaj   +1 more source

Variational image registration using inhomogeneous regularization [PDF]

, 2014
We present a generalization of the convolution basedvariational image registration approach, in which differentregularizers can be implemented by conveniently exchangingthe convolution kernel, even if it is nonseparableor nonstationary.
Albrecht, Thomas, Schönborn, Sandro, Vetter, Thomas., Jud, Christoph, Lüthi, Marcel   +4 more
core   +1 more source

Statistical Motion Mask and Sliding Registration [PDF]

, 2018
Accurate registration of images depicting respiratory motion, e.g. 4DCT or 4DMR, can be challenging due to sliding motion that occurs between the chest wall and organs within the pleural sac (lungs, mediastinum, liver).
Oelfke, U, Tran, EH, David J. Hawkes, McClelland, JR, Uwe Oelfke, Jamie R. McClelland, Hawkes, DJ, Eiben, B, Björn Eiben, Martin J. Menten, Menten, MJ, Elena H. Tran   +11 more
core   +1 more source