Results 11 to 20 of about 37,523 (330)

Gaussian primitives for deformable image registration

Physics and Imaging in Radiation Oncology
Background and Purpose:: Deformable image registration (DIR) plays a critical role in radiotherapy by compensating for anatomical deformations. However, existing iterative and data-driven methods are often hindered by computational inefficiency or ...
Jihe Li, Xiang Liu, Fabian Zhang, Xixin Cao, Joachim M. Buhmann, Ye Zhang, Xia Li   +6 more
doaj   +5 more sources

MUsculo-Skeleton-Aware (MUSA) deep learning for anatomically guided head-and-neck CT deformable registration. [PDF]

Med Image Anal
Liu H, McKenzie E, Xu D, Xu Q, Chin RK, Ruan D, Sheng K.   +6 more
europepmc   +3 more sources

Edge-Aware Pyramidal Deformable Network for Unsupervised Registration of Brain MR Images

Frontiers in Neuroscience, 2021
Deformable image registration is of essential important for clinical diagnosis, treatment planning, and surgical navigation. However, most existing registration solutions require separate rigid alignment before deformable registration, and may not well ...
Yiqin Cao, Zhenyu Zhu, Yi Rao, Chenchen Qin, Di Lin, Qi Dou, Dong Ni, Yi Wang   +7 more
doaj   +1 more source

Natural gradients for deformable registration [PDF]

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010
We apply the concept of natural gradients to deformable registration. The motivation stems from the lack of physical interpretation for gradients of image-based difference measures. The main idea is to endow the space of deformations with a distance metric which reflects the variation of the difference measure between two deformations.
Darko Zikic, Ali Kamen, Nassir Navab
openaire   +1 more source

A Multistage Rigid-Affine-Deformable Network for Three-Dimensional Multimodal Medical Image Registration

Applied Sciences, 2023
Multimodal image registration is an important component of medical image processing, allowing the integration of complementary information from various imaging modalities to improve clinical applications like diagnosis and treatment planning. We proposed
Anika Strittmatter, Anna Caroli, Frank G. Zöllner   +2 more
doaj   +1 more source

Learning a Deformable Registration Pyramid

, 2021
We introduce an end-to-end unsupervised (or weakly supervised) image registration method that blends conventional medical image registration with contemporary deep learning techniques from computer vision. Our method downsamples both the fixed and the moving images into multiple feature map levels where a displacement field is estimated at each level ...
Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön   +2 more
openaire   +3 more sources

Groupwise Registration for Magnetic Resonance Image Based on Variational Inference

Chinese Journal of Magnetic Resonance, 2022
To address the low precision of pairwise registration method based on the deep learning and the time-consuming nature of traditional registration algorithm, this paper presents a method of unsupervised end-to-end groupwise registration based on ...
Qin ZHOU, Yuan-jun WANG
doaj   +1 more source

Dense Registration with Deformation Priors [PDF]

, 2009
In this paper we propose a novel approach to define task-driven regularization constraints in deformable image registration using learned deformation priors. Our method consists of representing deformation through a set of control points and an interpolation strategy. Then, using a training set of images and the corresponding deformations we seek for a
Ben Glocker, Nikos Komodakis, Nassir Navab, Georgios Tziritas, Nikos Paragios   +4 more
openaire   +2 more sources

ADMIR–Affine and Deformable Medical Image Registration for Drug-Addicted Brain Images

IEEE Access, 2020
We proposed an unsupervised end-to-end Affine and Deformable Medical Image Registration (ADMIR) method based on convolutional neural network (ConvNet).
Kun Tang, Zhi Li, Lili Tian, Lihui Wang, Yuemin Zhu   +4 more
doaj   +1 more source

Preliminary Feasibility Study of Imaging Registration Between Supine and Prone Breast CT in Breast Cancer Radiotherapy Using Residual Recursive Cascaded Networks

IEEE Access, 2021
Breast cancer is one of the most common malignancies in women. The prone position in Partial Breast Irradiation (PBI) can better protect the heart and lung during radiotherapy. Supine position is used for CT imaging during treatment planning. The posture
Xiaoyun Ouyang, Xiaokun Liang, Yaoqin Xie   +2 more
doaj   +1 more source