This work is mainly focused on developing a methodology to obtain portal dosimetry with an amorphous silicon electronic portal image device (EPID) by means of Monte Carlo simulations and experimental measures. According to this, pixel intensity values of portal images have been compared with dose measured from an ionization chamber and dose obtained from Monte Carlo simulations. To that, several images were acquired with the Elekta iView GT EPID using an attenuator phantom slab (10 cm thickness of solid water) and a 6 MV photon energy beam with different monitor units. The average pixel value in a region of interest (ROI) centered at the beam selecting each image was extracted and compared to dose measures performed with the ionization chamber. These parameters were found to be linearly correlated with the number of monitor units (MU). Since, MCNP5 simulations allow calculating the deposited dose in the ROI within the phosphor layer of the EPID model, we can compare the portal dose with the simulated transit dose in order to perform a treatment control.
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http://dx.doi.org/10.1016/j.apradiso.2009.10.051 | DOI Listing |
Pharm Stat
January 2025
Department of Anesthesia, University of Iowa, Iowa City, Iowa, USA.
With contemporary anesthetic drugs, the efficacy of general anesthesia is assured. Health-economic and clinical objectives are related to reductions in the variability in dosing, variability in recovery, etc. Consequently, meta-analyses for anesthesiology research would benefit from quantification of ratios of standard deviations of log-normally distributed variables (e.
View Article and Find Full Text PDFJ Biomed Opt
January 2025
CIFICEN (UNCPBA - CICPBA - CONICET), Tandil, Argentina.
Significance: In the last years, time-resolved near-infrared spectroscopy (TD-NIRS) has gained increasing interest as a tool for studying tissue spectroscopy with commercial devices. Although it provides much more information than its continuous wave counterpart, accurate models interpreting the measured raw data in real time are still lacking.
Aim: We introduce an analytical model that can be integrated and used in TD-NIRS data processing software and toolkits in real time.
Surg Pract Sci
September 2022
Department of Research Support, Center for Clinical Research and Innovation, Kobe City Medical Center, General Hospital, Japan.
Introduction: Because mycotic aneurysm is a rare infection, the effectiveness of endovascular aneurysm repair (EVAR) and thoracic endovascular aortic repair (TEVAR) for mycotic aneurysm is difficult to evaluate.
Methods: We conducted a retrospective cohort study comparing EVAR/TEVAR and surgical repair (SR), using both Cox proportional regression analysis and Bayesian inference for patients with mycotic aneurysm diagnosed between January 2008 and December 2015.
Results: A total of 38 patients with mycotic aneurysm were included in the study.
Monte Carlo Methods Appl
December 2024
Computer Languages and Systems Software Group, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Correlation coefficients and linear regression values computed from group averages can differ from correlation coefficients and linear regression values computed using individual scores. This observation known as the ecological fallacy often assumes that all the individual scores are available from a population. In many situations, one must use a sample from the larger population.
View Article and Find Full Text PDFHeliyon
January 2025
Environmental Energy Technologies Laboratory (EETL), Department of Physics, University of Yaounde I, P.O Box 812 Yaounde, Cameroon.
This article analyzes and compares three methodologies for identifying suitable regions for solar hydrogen production using photovoltaic panels: AHP (Analytic Hierarchy Process), FAHP (Fuzzy Analytic Hierarchy Process), and MC-FAHP (Monte Carlo FAHP), integrated with GIS (Geographic Information Systems). The study employs ten criteria across technical (Global Horizontal Irradiance, temperature, slope, elevation, orientation), economic (distance from transportation and electrical networks), and social (population density, proximity to residential areas) factors. Environmental and exclusion criteria define restrictive zones.
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