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AEAU-Net: an unsupervised end-to-end registration network by combining affine transformation and deformable medical image registration
AbstractDeformable medical image registration plays an essential role in clinical diagnosis and treatment. However, due to the large difference in...
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Deep learning-based 3D brain multimodal medical image registration
Medical image registration is a critical preprocessing step in medical image analysis. While traditional medical image registration techniques have...
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Uncertain prediction of deformable image registration on lung CT using multi-category features and supervised learning
The assessment of deformable registration uncertainty is an important task for the safety and reliability of registration methods in clinical...
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Prostate volume analysis in image registration for prostate cancer care: a verification study
Combined magnetic resonance imaging (MRI) and positron emission tomography/computed tomography (PET/CT) may enhance diagnosis, aid surgical planning...
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Automatic Lung Ventilation Estimation Using Supervoxel Multi-Feature Fusion Combined with CT Image Registration
PurposeIn order to reduce the influence of respiratory motion artifacts on lung ventilation estimation method, a lung ventilation estimation method...
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Shortening image registration time using a deep neural network for patient positional verification in radiotherapy
We sought to accelerate 2D/3D image registration computation time using image synthesis with a deep neural network (DNN) to generate digitally...
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BIRGU Net: deformable brain magnetic resonance image registration using gyral-net map and 3D Res-Unet
Deformable image registration is a fundamental procedure in medical imaging. Recently, deep learning-based deformable image registrations have...
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A multi-view assisted registration network for MRI registration pre- and post-therapy
AbstractImage registration of magnetic resonance imaging (MRI) pre- and post-therapy is an important part of evaluating the effect of therapy in...
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Image Registration: Fundamentals and Recent Advances Based on Deep Learning
Registration is the process of establishing spatial correspondences between images. It allows for the alignment and transfer of key information...
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MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapy
The report of the American Association of Physicists in Medicine (AAPM) Task Group No. 132 published in 2017 reviewed rigid image registration and...
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Structure-aware independently trained multi-scale registration network for cardiac images
Image registration is a primary task in various medical image analysis applications. However, cardiac image registration is difficult due to the...
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Residual image registration error by fiducial markers in accelerated partial breast irradiation using C-arm linac: a phantom study
External beam accelerated partial breast irradiation (APBI) is an alternative treatment for patients with early-stage breast cancer. The efficacy of...
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Image registration of computed tomography of lung infected with COVID-19 using an improved sine cosine algorithm
In recent years, the optimization problem using meta-heuristic algorithms has been widely used in medical image registration and was a solution in...
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Soft-tissue sound-speed-aware ultrasound-CT registration method for computer-assisted orthopedic surgery
Ultrasound (US) has been introduced to computer-assisted orthopedic surgery for bone registration owing to its advantages of nonionizing radiation,...
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Image Registration-Based Method for Reconstructing Transcatheter Heart Valve Geometry from Patient-Specific CT Scans
Accurate reconstruction of transcatheter aortic valve (TAV) geometries and other stented cardiac devices from computed tomography (CT) images is...
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Dosimetric comparison of deformable image registration and synthetic CT generation based on CBCT images for organs at risk in cervical cancer radiotherapy
ObjectiveAnatomical variations existing in cervical cancer radiotherapy treatment can be monitored by cone-beam computed tomography (CBCT) images....
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Method for counting labeled neurons in mouse brain regions based on image representation and registration
An important step in brain image analysis is to divide specific brain regions by matching brain slices to standard brain reference atlases, and...
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Deformable registration of lung 3DCT images using an unsupervised heterogeneous multi-resolution neural network
Lung image registration is more challenging than other organs. This is because the breath of the human body causes large deformations in the lung...
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Deformable registration of magnetic resonance images using unsupervised deep learning in neuro-/radiation oncology
PurposeAccurate deformable registration of magnetic resonance imaging (MRI) scans containing pathologies is challenging due to changes in tissue...
