Results 171 to 180 of about 991,075 (322)
Abstract Purpose This study evaluates the dosimetric and geometric precision of a virtual cone technique using CBCT‐based polymer gel dosimetry, enabling radiation delivery, and imaging readout within an identical spatial coordinate system. Methods We created a C# script for a virtual cone technique that generates a treatment plan with 10 gantry arcs ...
Tenzin Kunkyab+6 more
wiley +1 more source
Abstract Purpose This study aims to evaluate the accuracy of the frameless linear accelerator‐based stereotactic radiosurgery (FSRS) system incorporating cone‐beam CT (CBCT), six degrees of freedom (6‐DoF) couch, room laser, and surface image‐guided (SG) systems.
Hao‐Wen Cheng+4 more
wiley +1 more source
Abstract Introduction The use of radioactive materials in the United States has been tightly regulated by the Nuclear Regulatory Commission and other entities for many decades. In 2015, however, the Joint Commission began to require hospital‐based nuclear medicine departments to conduct shielding designs and evaluations for radioactive material areas ...
Michael Oumano+12 more
wiley +1 more source
INVESTMENT SELECTION UNDER UNCERTAINTY FOR PRODUCING OPERATIONS [PDF]
David Sellers
openalex +1 more source
Comprehensive clinical evaluation of novel 4DCT‐based lung function imaging methods
Abstract Purpose Methods have been developed that apply image processing to 4DCTs to generate 4DCT‐ventilation/perfusion lung imaging. Traditional methods for 4DCT‐ventilation rely on Hounsfield‐Unit (HU) density‐change methods and suffer from poor numerical robustness while not providing 4DCT‐perfusion data.
Ehsan Golkar+6 more
wiley +1 more source
Design and validation of a novel dosimetry phantom for motion management audits
Abstract Background We present a novel phantom design for conducting end‐to‐end dosimetry audits for respiratory motion management of two anatomical treatment sites. The design enables radiochromic film measurements of the dose administered to the target throughout the respiratory cycle (motion‐included) and the dose delivered to the time‐averaged ...
Alex Burton+5 more
wiley +1 more source
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
On Uncertainty and Uncertainty Reduction
This essay introduces a Debate Section of Sociologica discussing Patrik Aspers’ book Uncertainty: Individual Problems and Public Solutions (Oxford University Press, 2024). It delineates the differences between risk and uncertainty as well as between individual means to reduce uncertainty and public ways of reducing uncertainty.
openaire +2 more sources