Well-Distributed Feature Extraction for Image Registration Using Histogram Matching [PDF]
Applied Sciences, 2019 Image registration is a spatial alignment of corresponding images of the same scene acquired from different views, sensors, and time intervals. Especially, satellite image registration is a challenging task due to the high resolution of images.
Muhammad Tariq Mahmood, Ik Hyun Lee
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Gaussian primitives for deformable image registration [PDF]
Physics and Imaging in Radiation OncologyBackground 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 +6 more
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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 +4 more
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Nonrigid Multimodal Registration Based on Fuzzy Inference System for Retinal Image Registration [PDF]
Journal of Medical Signals and SensorsBackground: Retinal imaging employs various modalities, each providing distinct perspectives on ocular structures. However, the integration of information from these modalities, which often have differing resolutions, requires effective image ...
Monire Sheikh Hosseini, Hossein Rabbani
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A Review of Medical Image Registration for Different Modalities [PDF]
BioengineeringMedical image registration has become pivotal in recent years with the integration of various imaging modalities like X-ray, ultrasound, MRI, and CT scans, enabling comprehensive analysis and diagnosis of biological structures.
Fatemehzahra Darzi, Thomas Bocklitz
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Classification and Evaluation of Muti Modal Medical Image Registration Methods and Similarity Measures [PDF]
AUT Journal of Modeling and Simulation, 2023 Image registration is a fundamental issue in medical image analysis. It refers to the matching process between two or more images using the optimization of a similarity metric to find an optimal transformation function.
Zohre Mohamadi, Mohammadreza Keyvanpour
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A Survey on Deep Learning in Medical Image Registration: New Technologies, Uncertainty, Evaluation Metrics, and Beyond [PDF]
Medical Image Anal., 2023 Deep learning technologies have dramatically reshaped the field of medical image registration over the past decade. The initial developments, such as regression-based and U-Net-based networks, established the foundation for deep learning in image ...
Junyu Chen +7 more
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ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023 The Transformer structures have been widely used in computer vision and have recently made an impact in the area of medical image registration. However, the use of Transformer in most registration networks is straightforward.
Hai-qun Wang, Dong Ni, Yi Wang
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Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023 Image registration is a fundamental requirement for medical image analysis. Deep registration methods based on deep learning have been widely recognized for their capabilities to perform fast end-to-end registration.
Mingyuan Meng +4 more
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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 +6 more
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