Medical image registration utilizing tissue P systems [PDF]
Frontiers in Pharmacology, 2022 The tissue P system (TPS) possesses intrinsic attributes of parallel execution in comprehensive data and instruction space, which provides fast convergence during the transition from local to global optima.
Saleem Sanatan Kujur, Sudip Kumar Sahana
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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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A review of deep learning-based deformable medical image registration [PDF]
Frontiers in Oncology, 2022 The alignment of images through deformable image registration is vital to clinical applications (e.g., atlas creation, image fusion, and tumor targeting in image-guided navigation systems) and is still a challenging problem.
Jing Zou +3 more
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Non-rigid Multi-Modal Medical Image Registration Based on Improved Maximum Mutual Information PV Image Interpolation Method [PDF]
Frontiers in Public Health, 2022 With the continuous improvement of medical imaging equipment, CT, MRI and PET images can obtain accurate anatomical information of the same patient site.
Liting He
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Wavelet-Guided Multi-Scale ConvNeXt for Unsupervised Medical Image Registration [PDF]
BioengineeringMedical image registration is essential in clinical practices such as surgical navigation and image-guided diagnosis. The Transformer architecture of TransMorph demonstrates better accuracy in non-rigid registration tasks.
Xuejun Zhang +10 more
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Medical image registration and its application in retinal images: a review [PDF]
Visual Computing for Industry, Biomedicine, and ArtMedical image registration is vital for disease diagnosis and treatment with its ability to merge diverse information of images, which may be captured under different times, angles, or modalities. Although several surveys have reviewed the development of
Qiushi Nie +4 more
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TransMorph: Transformer for unsupervised medical image registration. [PDF]
Med Image Anal, 2022 In the last decade, convolutional neural networks (ConvNets) have been a major focus of research in medical image analysis. However, the performances of ConvNets may be limited by a lack of explicit consideration of the long-range spatial relationships in an image. Recently Vision Transformer architectures have been proposed to address the shortcomings
Chen J +5 more
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Deep learning-based optimization for accurate multimodal medical image registration [PDF]
Scientific ReportsIn recent years, there has been a growing need of incorporating more than one image registration methods in medical image processing. This has been because diagnosis and treatment planning made effective by these techniques. Our work focuses on a complex
Priyanka Chouksey +2 more
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Deformable medical image registration: a survey. [PDF]
IEEE Trans Med Imaging, 2013 Deformable image registration is a fundamental task in medical image processing. Among its most important applications, one may cite: 1) multi-modality fusion, where information acquired by different imaging devices or protocols is fused to facilitate diagnosis and treatment planning; 2) longitudinal studies, where temporal structural or anatomical ...
Sotiras A, Davatzikos C, Paragios N.
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PCANet-Based Structural Representation for Nonrigid Multimodal Medical Image Registration [PDF]
Sensors, 2018 Nonrigid multimodal image registration remains a challenging task in medical image processing and analysis. The structural representation (SR)-based registration methods have attracted much attention recently.
Xingxing Zhu +4 more
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