Results 241 to 250 of about 5,121,571 (362)

Multi‐institutional study on image quality for a novel CBCT solution on O‐ring linac

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction This work presents a multi‐institutional study on image quality provided by a novel cone beam computed tomography (CBCT). The main goal is to investigate the consistency of imaging performance across multiple institutions.
Luis Agulles‐Pedrós, R. Lee MacDonald, Amanda Jean Cherpak, Nayha Dixit, Lei Dong, Tianyu Zhao, Kundan Thind, Anthony Doemer, Boon‐Keng Teo, Shiqin Su, Alexander Moncion, James L. Robar   +11 more
wiley   +1 more source

The anterior nucleus of the thalamus plays a role in the epileptic network

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 2010-2024, December 2022., 2022
Abstract Objectives We investigated both the metabolic differences and interictal/ictal discharges of the anterior nucleus of the thalamus (ANT) in patients with epilepsy to clarify the relationship between the ANT and the epileptic network. Methods Nineteen patients with drug‐resistant epilepsy who underwent stereoelectroencephalography were studied ...
Hao Yan, Xueyuan Wang, Tao Yu, Duanyu Ni, Liang Qiao, Xiaohua Zhang, Cuiping Xu, Wei Shu, Yuping Wang, Liankun Ren   +9 more
wiley   +1 more source

Triply periodic minimal and constant mean curvature surfaces. [PDF]

Interface Focus, 2012
Grosse-Brauckmann K.
europepmc   +1 more source

On the Gaussian and mean curvatures of parallel hypersurfaces

, 1988
H. Hilmi HACISALİHOĞLU, M. Kemal Sagel .   +1 more
openalex   +2 more sources

On the mean curvature of surface with boundary [PDF]

, 1990
Keiichi SHIBATA
openalex   +1 more source

Evaluation of daily residual pancreatic tumor motion for deep‐inspiration breath‐hold radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Breath‐hold techniques are widely used in radiation therapy to minimize respiratory‐induced tumor or organ‐at‐risk motion. However, residual motion persists, necessitating a reliable daily evaluation method. Methods At our institution, fiducial markers serve as surrogates for target localization in pancreatic cancer treatment.
Weihua Mao, Binbin Wu, Kai Ding, Sarah Han‐Oh, Amol Narang   +4 more
wiley   +1 more source

Does dose calculation algorithm affect the dosimetric accuracy of synthetic CT for MR‐only radiotherapy planning in brain tumors?

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study compares the dosimetric accuracy of deep‐learning‐based MR synthetic CT (sCT) in brain radiotherapy between the Analytical Anisotropic Algorithm (AAA) and AcurosXB (AXB). Additionally, it proposes a novel metric to predict the dosimetric accuracy of sCT for individual post‐surgical brain cases.
Jeffrey C. F. Lui, Francis K. H. Lee, C. C. Law, James C. H. Chow   +3 more
wiley   +1 more source

Modelling of a double‐scattering proton therapy nozzle using the FLUKA Monte Carlo code and analysis of linear energy transfer in patients treated for prostate cancer

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The dose‐averaged linear energy transfer (LETD) in proton therapy (PT) has in pre‐clinical studies been linked to the relative biological effectiveness (RBE) of protons. Until recently, the most common PT delivery method in prostate cancer has been double‐scattered PT, with LETD only available through dedicated Monte Carlo (MC ...
Rasmus Klitgaard, Lars Fredrik Fjæra, Camilla Hanquist Stokkevåg, Perry Johnson, Mark Artz, Nancy Price Mendenhall, Curtis Bryant, Ludvig Paul Muren   +7 more
wiley   +1 more source

Anisotropic motion by mean curvature in the context of Finsler geometry [PDF]

, 1996
Giovanni Bellettini, Maurizio Paolini
openalex   +1 more source

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source