Results 211 to 220 of about 8,286,998 (397)

Evaluation of dosimetric and spatial accuracy of a virtual cone technique for radiosurgery using linac‐integrated CBCT‐based polymer gel dosimetry

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
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

Comprehensive clinical evaluation of novel 4DCT‐based lung function imaging methods

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
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

Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification [PDF]

open access: yesarXiv
We introduce a method to construct a stochastic surrogate model from the results of dimensionality reduction in forward uncertainty quantification. The hypothesis is that the high-dimensional input augmented by the output of a computational model admits a low-dimensional representation.
arxiv  

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien   +8 more
wiley   +1 more source

TIE‐GCM ROPE ‐ Dimensionality Reduction: Part I

open access: yesSpace Weather
Physics‐based models of the ionosphere‐thermosphere system have been touted as the next big thing in the context of drag modeling and space operations for decades.
Piyush M. Mehta, Richard J. Licata
doaj   +1 more source

Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
Shuicheng Yan   +5 more
semanticscholar   +1 more source

An extension to the OVH concept for knowledge‐based dose volume histogram prediction in lung tumor volumetric‐modulated arc therapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Volumetric‐modulated arc therapy (VMAT) treatment planning allows a compromise between a sufficient coverage of the planning target volume (PTV) and a simultaneous sparing of organs‐at‐risk (OARs). Particularly in the case of lung tumors, deciding whether it is possible or worth spending more time on further improvements of a treatment
Johann Brand   +4 more
wiley   +1 more source

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