Analysis of emerging trends and hot spots in respiratory biomechanics from 2003 to 2022 based on CiteSpace
X Huang, J Zheng, Y Ma, M Hou, X Wang - Frontiers in Physiology, 2023 - frontiersin.org
Introduction: With the global prevalence of coronavirus disease 2019 (COVID-19), an
increasing number of people are experiencing respiratory discomfort. Respiratory …
increasing number of people are experiencing respiratory discomfort. Respiratory …
Real-time liver tumor localization via a single x-ray projection using deep graph neural network-assisted biomechanical modeling
Objective. Real-time imaging is highly desirable in image-guided radiotherapy, as it
provides instantaneous knowledge of patients' anatomy and motion during treatments and …
provides instantaneous knowledge of patients' anatomy and motion during treatments and …
Real-time liver tumor localization via combined surface imaging and a single x-ray projection
Objective. Real-time imaging, a building block of real-time adaptive radiotherapy, provides
instantaneous knowledge of anatomical motion to drive delivery adaptation to improve …
instantaneous knowledge of anatomical motion to drive delivery adaptation to improve …
Online prediction for respiratory movement compensation: a patient-specific gating control for MRI-guided radiotherapy
Y Li, Z Li, J Zhu, B Li, H Shu, D Ge - Radiation Oncology, 2023 - Springer
Background This study aims to validate the effectiveness of linear regression for motion
prediction of internal organs or tumors on 2D cine-MR and to present an online gating signal …
prediction of internal organs or tumors on 2D cine-MR and to present an online gating signal …
Real‐time liver motion estimation via deep learning‐based angle‐agnostic X‐ray imaging
Background Real‐time liver imaging is challenged by the short imaging time (within
hundreds of milliseconds) to meet the temporal constraint posted by rapid patient breathing …
hundreds of milliseconds) to meet the temporal constraint posted by rapid patient breathing …
[HTML][HTML] Deep learning-based target tracking with X-ray images for radiotherapy: a narrative review
Methods Manual searches of the Web of Science, and PubMed, and Google Scholar were
carried out to retrieve English-language articles. The keywords used in the searches …
carried out to retrieve English-language articles. The keywords used in the searches …
A method of three-dimensional non-rigid localization of liver tumors based on structured light
L Chen, L Ma, F Zhang, W Zhan, X Yang… - Optics and Lasers in …, 2024 - Elsevier
In this paper, a new localization method of liver tumors based on structured light is proposed
to achieve the accurate resection of liver tumors. Firstly, the preoperative liver model and …
to achieve the accurate resection of liver tumors. Firstly, the preoperative liver model and …
Artificial intelligence‐based motion tracking in cancer radiotherapy: A review
Radiotherapy aims to deliver a prescribed dose to the tumor while sparing neighboring
organs at risk (OARs). Increasingly complex treatment techniques such as volumetric …
organs at risk (OARs). Increasingly complex treatment techniques such as volumetric …
[HTML][HTML] Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center …
Y Yimit, P Yasin, A Tuersun, J Wang, X Wang… - Academic …, 2024 - Elsevier
Rationale and Objectives Medulloblastoma (MB) and Ependymoma (EM) in children, share
similarities in age group, tumor location, and clinical presentation. Distinguishing between …
similarities in age group, tumor location, and clinical presentation. Distinguishing between …
Real-Time 4-D-Cone Beam CT Accurate Estimation Based on Single-Angle Projection via Dual-Attention Mechanism Residual Network
H Xiao, K Chen, T You, D Liu, W Zhang… - … on Radiation and …, 2023 - ieeexplore.ieee.org
Recently, rapid and efficient localization of lung tumors based on single-cone beam CT
(CBCT) projection has attracted great interest in the radiation oncology community. High …
(CBCT) projection has attracted great interest in the radiation oncology community. High …