Diffusion Maps for Multimodal Registration [PDF]
Sensors, 2014 Multimodal image registration is a difficult task, due to the significant intensity variations between the images. A common approach is to use sophisticated similarity measures, such as mutual information, that are robust to those intensity variations ...
Gemma Piella
exaly +4 more sources
Multimodal Registration for Image-Guided EBUS Bronchoscopy [PDF]
Journal of Imaging, 2022 The state-of-the-art procedure for examining the lymph nodes in a lung cancer patient involves using an endobronchial ultrasound (EBUS) bronchoscope.
Xiaonan Zang +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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Modality-Free Feature Detector and Descriptor for Multimodal Remote Sensing Image Registration
Remote Sensing, 2020 The nonlinear radiation distortions (NRD) among multimodal remote sensing images bring enormous challenges to image registration. The traditional feature-based registration methods commonly use the image intensity or gradient information to detect and ...
Yanfei Zhong, Miaozhong Xu, Ailong Ma
exaly +3 more sources
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration [PDF]
Medical Image Analysis, 2021 Julius Chapiro, Bo Zhou, James Duncan
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Multimodal Registration via Mutual Information Incorporating Geometric and Spatial Context [PDF]
IEEE Transactions on Image Processing, 2015 Jonghye Woo +2 more
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Joint Registration and Segmentation Method of CT-MR Images Based on Deep Learning [PDF]
Jisuanji gongcheng, 2023 Medical image registration and segmentation are important tasks in medical image analysis.The accuracy of the tasks can be improved effectively by their combination.However, the existing joint registration and segmentation framework of single-modal ...
Ben HONG, Xusheng QIAN, Minglei SHEN, Jisu HU, Chen GENG, Yakang DAI, Zhiyong ZHOU
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Is image-to-image translation the panacea for multimodal image registration? A comparative study
PLoS ONE, 2022 Despite current advancement in the field of biomedical image processing, propelled by the deep learning revolution, multimodal image registration, due to its several challenges, is still often performed manually by specialists.
Jiahao Lu +3 more
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Reverse-Net: Few-Shot Learning with Reverse Teaching for Deformable Medical Image Registration
Applied Sciences, 2023 Multimodal medical image registration has an important role in monitoring tumor growth, radiotherapy, and disease diagnosis. Deep-learning-based methods have made great progress in the past few years.
Xin Zhang +3 more
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Радіоелектронні і комп'ютерні системи, 2023 The subject matter of the article is the improvement in the accuracy of multimodal image registration between PET and MRI images in the medical field. The focus of the article pertains to the importance of these images in diagnosis, interpretation, and ...
Abderazzak Taime +3 more
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