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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Efficient Variational Approaches for Deformable Registration of Images [PDF]
Abstract and Applied Analysis, 2012 Dirichlet, anisotropic, and Huber regularization terms are presented for efficient registration of deformable images. Image registration, an ill-posed optimization problem, is solved using a gradient-descent-based method and some fundamental theorems in ...
Mehmet Ali Akinlar +3 more
doaj +2 more sources
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
doaj +2 more sources
Deformable registration of 3D ultrasound volumes using automatic landmark generation. [PDF]
PLoS ONE, 2019 US image registration is an important task e.g. in Computer Aided Surgery. Due to tissue deformation occurring between pre-operative and interventional images often deformable registration is necessary. We present a registration method focused on surface
Michael Figl +3 more
doaj +2 more sources
Radiation OncologyBackground To develop a novel deformable image registration method aimed at improving the accuracy of multimodal image registration in radiotherapy.
Xin Zhang +5 more
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