Results 111 to 120 of about 8,393,375 (379)

Optimal design of large-scale Bayesian linear inverse problems under reducible model uncertainty: good to know what you don't know [PDF]

arXiv, 2020
We consider optimal design of infinite-dimensional Bayesian linear inverse problems governed by partial differential equations that contain secondary reducible model uncertainties, in addition to the uncertainty in the inversion parameters. By reducible uncertainties we refer to parametric uncertainties that can be reduced through parameter inference ...
arxiv  

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

Journal 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, Taindra Neupane, Lydia Wilson, Jennifer Kwak, Richard Castillo, Edward Castillo, Yevgeniy Vinogradskiy   +6 more
wiley   +1 more source

Lessons from Assessing Uncertainty in Agricultural Water Supply Estimation for Sustainable Rice Production

Agronomy, 2019
Agricultural water supply (AWS) estimation is one of the first and fundamental steps of developing agricultural management plans, and its accuracy must have substantial impacts on the following decision-making processes.
Jung-Hun Song, Younggu Her, Sang Min Jun, Soonho Hwang, Jihoon Park, Moon-Seong Kang   +5 more
doaj   +1 more source

Computer Aided Controller Design for a Multiaxial Servohydraulic Vibration Test Bench with Large Parameter Uncertainties [PDF]

, 1983
Axel Gräser, Werner Neddermeyer, Henning Tolle   +2 more
openalex   +2 more sources

Design and validation of a novel dosimetry phantom for motion management audits

Journal of Applied Clinical Medical Physics, EarlyView.
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, Sabeena Beveridge, Nicholas Hardcastle, Silvio Malfitana, Janaka Madamperuma, Rick Franich   +5 more
wiley   +1 more source

Parameter uncertainty analysis of a biokinetic model of caesium.

Radiation Protection Dosimetry, 2015
Parameter uncertainties for the biokinetic model of caesium (Cs) developed by Leggett et al. were inventoried and evaluated. The methods of parameter uncertainty analysis were used to assess the uncertainties of model predictions with the assumptions of ...
Wei Bo Li, W. Klein, É. Blanchardon, M. Puncher, R. Leggett, U. Oeh, B. Breustedt, D. Nosske, M. A. López   +8 more
semanticscholar   +1 more source

A Python package for fast GPU‐based proton pencil beam dose calculation

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Open‐source GPU‐based Monte Carlo (MC) proton dose calculation algorithms provide high speed and unparalleled accuracy but can be complex to integrate with new applications and remain slower than GPU‐based pencil beam (PB) methods, which sacrifice some physical accuracy for sub‐second plan calculation.
Mahasweta Bhattacharya, Calin Reamy, Heng Li, Junghoon Lee, William T. Hrinivich   +4 more
wiley   +1 more source

Landslide Analysis with Incomplete Data: A Framework for Critical Parameter Estimation

Geotechnics
Landslides are one of the most common geohazards, posing significant risks to infrastructure, recreation, and human life. Slope stability analyses rely on detailed data, accurate materials testing, and careful model parameter selection. These factors are
Lauren Guido, Paul Santi
doaj   +1 more source

Evaluation of internal target volume of abdominal tumors using cine‐MRI

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction The detailed anatomy visualization with magnetic resonance (MR)‐guided radiotherapy is particularly attractive for abdominal treatments, but patient respiratory motion can compromise image quality. The “navigator technique” produces high‐quality 3D images, triggered by diaphragm displacement, in exhale phase only.
Jessica Lye, Reza Alinaghi‐Zadeh, Sandie Fisher, Nikki Shelton, Glenn Cahoon, Leah McDermott, Richard Khor, Kym Rykers, Sweet Ping Ng   +8 more
wiley   +1 more source

Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra‐hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter‐fraction variability, inconsistent patient adherence still results in OAR variability.
Conor Sinclair Smith, Isabelle Gagne, Karl Otto, Carter Kolbeck, Joshua Giambattista, Abraham Alexander, Sonja Murchison, Andrew Pritchard, Erika Chin   +8 more
wiley   +1 more source