Deformable Medical Image Registration: A Survey [PDF]
IEEE Transactions on Medical 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 ...
Christos Davatzikos +2 more
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macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MIND [PDF]
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 +6 more
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Comparison of physics-based deformable registration methods for image-guided neurosurgery [PDF]
Frontiers in Digital Health, 2023 This paper compares three finite element-based methods used in a physics-based non-rigid registration approach and reports on the progress made over the last 15 years.
Nikos Chrisochoides +14 more
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Gaussian primitives for deformable image registration
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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Deformable registration of magnetic resonance images using unsupervised deep learning in neuro-/radiation oncology [PDF]
Radiation OncologyPurpose Accurate deformable registration of magnetic resonance imaging (MRI) scans containing pathologies is challenging due to changes in tissue appearance.
Alexander F. I. Osman +3 more
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MF-Net: multi-scale feature extraction-integration network for unsupervised deformable registration [PDF]
Frontiers in NeuroscienceDeformable registration plays a fundamental and crucial role in scenarios such as surgical navigation and image-assisted analysis. While deformable registration methods based on unsupervised learning have shown remarkable success in predicting ...
Andi Li +16 more
doaj +2 more sources
FetDTIAlign: A deep learning framework for affine and deformable registration of fetal brain dMRI [PDF]
NeuroImageDiffusion MRI (dMRI) offers unique insights into the microstructure of fetal brain tissue in utero. Longitudinal and cross-sectional studies of fetal dMRI have the potential to reveal subtle but crucial changes associated with normal and abnormal ...
Bo Li +3 more
doaj +2 more sources
Deformable registration for nasopharyngeal carcinoma using adaptive mask and weight allocation strategy based CycleFCNs model [PDF]
Radiation OncologyBackground Deformable registration plays an important role in the accurate delineation of tumors. Most of the existing deep learning methods ignored two issues that can lead to inaccurate registration, including the limited field of view in MR scans and ...
Yi Guo +6 more
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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 +7 more
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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 +2 more
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