Current research status of respiratory motion for thorax and abdominal treatment: a systematic review
Y Wu, Z Wang, Y Chu, R Peng, H Peng, H Yang, K Guo… - Biomimetics, 2024 - mdpi.com
Malignant tumors have become one of the serious public health problems in human safety
and health, among which the chest and abdomen diseases account for the largest …
and health, among which the chest and abdomen diseases account for the largest …
Modern image-guided surgery: A narrative review of medical image processing and visualization
Z Lin, C Lei, L Yang - Sensors, 2023 - mdpi.com
Medical image analysis forms the basis of image-guided surgery (IGS) and many of its
fundamental tasks. Driven by the growing number of medical imaging modalities, the …
fundamental tasks. Driven by the growing number of medical imaging modalities, the …
Probabilistic 4D predictive model from in-room surrogates using conditional generative networks for image-guided radiotherapy
Shape and location organ variability induced by respiration constitutes one of the main
challenges during dose delivery in radiotherapy. Providing up-to-date volumetric information …
challenges during dose delivery in radiotherapy. Providing up-to-date volumetric information …
Conditional-based transformer network with learnable queries for 4d deformation forecasting and tracking
Real-time motion management for image-guided radiation therapy interventions plays an
important role for accurate dose delivery. Forecasting future 4D deformations from in-plane …
important role for accurate dose delivery. Forecasting future 4D deformations from in-plane …
Real-time estimation of lung deformation from body surface using a general CoordConv CNN
Abstract Background and Objective Estimating the three-dimensional (3D) deformation of
the lung is important for accurate dose delivery in radiotherapy and precise surgical …
the lung is important for accurate dose delivery in radiotherapy and precise surgical …
A novel bone suppression algorithm in intensity‐based 2D/3D image registration for real‐time tumor motion monitoring: Development and phantom‐based validation
I Gulyas, P Trnkova, B Knäusl, J Widder… - Medical …, 2022 - Wiley Online Library
Background Real‐time tumor motion monitoring (TMM) is a crucial process for intra‐
fractional respiration management in lung cancer radiotherapy. Since the tumor can be …
fractional respiration management in lung cancer radiotherapy. Since the tumor can be …
Artificial intelligence for treatment delivery: image-guided radiotherapy
Radiation therapy (RT) is a highly digitized field relying heavily on computational methods
and, as such, has a high affinity for the automation potential afforded by modern artificial …
and, as such, has a high affinity for the automation potential afforded by modern artificial …
NuTracker: a coordinate-based neural network representation of lung motion for intrafraction tumor tracking with various surrogates in radiotherapy
C Liu, Q Wang, W Si, X Ni - Physics in Medicine & Biology, 2022 - iopscience.iop.org
Objective. Tracking tumors and surrounding tissues in real-time is critical for reducing errors
and uncertainties during radiotherapy. Existing methods are either limited by the linear …
and uncertainties during radiotherapy. Existing methods are either limited by the linear …
Modeling of artificial intelligence-based respiratory motion prediction in MRI-guided radiotherapy: a review
The advancement of precision radiotherapy techniques, such as volumetric modulated arc
therapy (VMAT), stereotactic body radiotherapy (SBRT), and particle therapy, highlights the …
therapy (VMAT), stereotactic body radiotherapy (SBRT), and particle therapy, highlights the …
[Retracted] The Application of Interactive Visualization and Computer Vision in Intelligent Education Based on Big Data AI Technology
H Xu - Wireless Communications and Mobile Computing, 2023 - Wiley Online Library
Considering the problem that teachers' command gesture tracking error is due to their poor
detection ability in the intelligent education of big data or technology, the application method …
detection ability in the intelligent education of big data or technology, the application method …