Deep learning-based lung image registration: A review
H Xiao, X Xue, M Zhu, X Jiang, Q Xia, K Chen… - Computers in biology …, 2023 - Elsevier
Lung image registration can effectively describe the relative motion of lung tissues, thereby
helping to solve series problems in clinical applications. Since the lungs are soft and fairly …
helping to solve series problems in clinical applications. Since the lungs are soft and fairly …
Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning
Radiotherapy serves as a pivotal treatment modality for malignant tumors. However, the
accuracy of radiotherapy is significantly compromised due to respiratory-induced …
accuracy of radiotherapy is significantly compromised due to respiratory-induced …
Breathing-compensated neural networks for real time C-arm pose estimation in lung CT-fluoroscopy registration
Augmentation of interventional c-arm fluoroscopy using information extracted from pre-
operative imaging has the potential to reduce procedure times and improve patient …
operative imaging has the potential to reduce procedure times and improve patient …
DiffRecon: Diffusion-based CT reconstruction with cross-modal deformable fusion for DR-guided non-coplanar radiotherapy
J Sun, N Cao, H Bi, L Gao, K Xie, T Lin, J Sui… - Computers in Biology and …, 2024 - Elsevier
In non-coplanar radiotherapy, DR is commonly used for image guiding which needs to fuse
intraoperative DR with preoperative CT. But this fusion task performs poorly, suffering from …
intraoperative DR with preoperative CT. But this fusion task performs poorly, suffering from …
XTransCT: ultra-fast volumetric CT reconstruction using two orthogonal x-ray projections for image-guided radiation therapy via a transformer network
Objective. The aim of this study was to reconstruct volumetric computed tomography (CT)
images in real-time from ultra-sparse two-dimensional x-ray projections, facilitating easier …
images in real-time from ultra-sparse two-dimensional x-ray projections, facilitating easier …
Automatic algorithm for fractal plant art image similarity feature generation
Z Liu, L Sun - Advances in Mathematical Physics, 2021 - Wiley Online Library
With the popularity of smart devices and the Internet, the volume of multimedia data is
growing rapidly, and content‐based image retrieval (CBIR) can search for similar images …
growing rapidly, and content‐based image retrieval (CBIR) can search for similar images …
Fast digitally reconstructed radiograph generation using particle-based statistical shape and intensity model
J Oh, S Koo - Journal of Medical Imaging, 2024 - spiedigitallibrary.org
Purpose Statistical shape and intensity models (SSIMs) and digitally reconstructed
radiographs (DRRs) were introduced for non-rigid 2D-3D registration and skeletal …
radiographs (DRRs) were introduced for non-rigid 2D-3D registration and skeletal …
Longitudinal Registration of Chest CT Images With Radiation-Induced Lung Disease
FY Lin, YJ Li, CE Lee, KL Lor, HJ Wang, YC Chang… - 2022 - preprints.org
Longitudinal image registration of pulmonary computed tomography (PCT) images may
serve as an essential tool for investigating the relationship between radiation dose …
serve as an essential tool for investigating the relationship between radiation dose …