A Review on Medical Image Registration as an Optimization Problem. [PDF]
Curr Med Imaging Rev, 2017 Objective: In the course of clinical treatment, several medical media are required by a physician in order to provide accurate and complete information about a patient.
Song G, Han J, Zhao Y, Wang Z, Du H.
europepmc +3 more sources
Enhancing unsupervised learning in medical image registration through scale-aware context aggregation [PDF]
iScienceSummary: Deformable image registration (DIR) is essential for medical image analysis, facilitating the establishment of dense correspondences between images to analyze complex deformations.
Yuchen Liu +4 more
doaj +2 more sources
Physical Constraint Finite Element Model for Medical Image Registration. [PDF]
PLoS ONE, 2015 Due to being derived from linear assumption, most elastic body based non-rigid image registration algorithms are facing challenges for soft tissues with complex nonlinear behavior and with large deformations.
Jingya Zhang +4 more
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Adaptive Diffeomorphic Multiresolution Demons and Their Application to Same Modality Medical Image Registration with Large Deformation [PDF]
International Journal of Biomedical Imaging, 2018 Diffeomorphic demons can guarantee smooth and reversible deformation and avoid unreasonable deformation. However, the number of iterations needs to be set manually, and this greatly influences the registration result.
Chang Wang +3 more
doaj +2 more sources
Deep learning-based affine medical image registration for multimodal minimal-invasive image-guided interventions – A comparative study on generalizability [PDF]
Zeitschrift für Medizinische PhysikMultimodal image registration is applied in medical image analysis as it allows the integration of complementary data from multiple imaging modalities.
Anika Strittmatter +2 more
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The same modality medical image registration with large deformation and clinical application based on adaptive diffeomorphic multi-resolution demons [PDF]
BMC Medical Imaging, 2018 Background Diffeomorphic demons can not only guarantee smooth and reversible deformation, but also avoid unreasonable deformation. However, the number of iterations which has great influence on the registration result needs to be set manually.
Chang Wang +3 more
doaj +2 more sources
TransMorph: Transformer for unsupervised medical image registration. [PDF]
Med Image Anal, 2022 Chen J +5 more
europepmc +2 more sources
Quantification of geometric uncertainties in image guided radiotherapy [PDF]
, 2010 The aim of this thesis is to determine if the geometric uncertainties that are introduced into the image guided radiotherapy (IGRT) process by Cone Beam CT (CBCT) based IGRT equipment are sufficiently small that they do not pose a significant risk of ...
Sykes, Jonathan
core +6 more sources
Nonrigid Medical Image Registration using Adaptive Gradient Optimizer [PDF]
Journal of Engineering Research - Egypt, 2021 Medical image registration has a significant role in several applications. It has sequential processes, including transformation, similarity metric calculation, diffusion regularization, and optimization of the transformation parameters (i.e., rotation ...
Mohammed Abo Arab +2 more
doaj +1 more source
A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond. [PDF]
Med Image AnalChen J +7 more
europepmc +2 more sources