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A review of deep learning-based deformable medical image registration
The alignment of images through deformable image registration is vital to clinical
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …
Deep learning-based lung image registration: A review
H ** to solve series problems in clinical applications. Since the lungs are soft and fairly …
[HTML][HTML] DragNet: learning-based deformable registration for realistic cardiac MR sequence generation from a single frame
Deformable image registration (DIR) can be used to track cardiac motion. Conventional DIR
algorithms aim to establish a dense and non-linear correspondence between independent …
algorithms aim to establish a dense and non-linear correspondence between independent …
Motion compensated cone-beam CT reconstruction using an a Priori motion model from CT simulation: A pilot study
Objective. To combat the motion artifacts present in traditional 4D-CBCT reconstruction, an
iterative technique known as the motion-compensated simultaneous algebraic …
iterative technique known as the motion-compensated simultaneous algebraic …
Unsupervised computed tomography and cone-beam computed tomography image registration using a dual attention network
R Hu, H Yan, F Nian, R Mao… - Quantitative imaging in …, 2022 - pmc.ncbi.nlm.nih.gov
Background The registration of computed tomography (CT) and cone-beam computed
tomography (CBCT) plays a key role in image-guided radiotherapy (IGRT). However, the …
tomography (CBCT) plays a key role in image-guided radiotherapy (IGRT). However, the …
Artificial intelligence in four-dimensional imaging for motion management in radiation therapy
Abstract Four-dimensional imaging (4D-imaging) plays a critical role in achieving precise
motion management in radiation therapy. However, challenges remain in 4D-imaging such …
motion management in radiation therapy. However, challenges remain in 4D-imaging such …
Evaluation of a respiratory motion-corrected image reconstruction algorithm in 2-[18F] FDG and [68Ga] Ga-DOTA-NOC PET/CT: impacts on image quality and tumor …
QL Meng, R Yang, RZ Wu, L Xu, H Liu… - … Imaging in Medicine …, 2022 - pmc.ncbi.nlm.nih.gov
Background Respiratory motions may cause artifacts on positron emission tomography
(PET) images that degrade image quality and quantification accuracy. This study aimed to …
(PET) images that degrade image quality and quantification accuracy. This study aimed to …