Monte-Carlo parameter variation study of cardiovascular pathologies to quantify parameter specific signal uncertainty
نویسندگان
چکیده
منابع مشابه
Investigation of Collimator Influential Parameter on SPECT Image Quality: a Monte Carlo Study
Background: Obtaining high quality images in Single Photon Emission Tomography (SPECT) device  is the most important goal in nuclear medicine. Because if image quality is low, the possibility of making a mistake in diagnosing and treating the patient will rise. Studying effective factors in spatial resolution of imaging systems is thus deemed to be vital. One of the most important factors in S...
متن کاملBayesian Parameter Estimation: A Monte Carlo Approach
This paper presents a Bayesian approach, using parallel Monte Carlo modelling algorithms for combining expert judgements when there is inherent variability amongst these judgements. The proposed model accounts for the situation when the derivative method for finding the maximum likelihood breaks down Introduction An expert is deemed to mean a person with specialised knowledge about a given subj...
متن کاملNoise-Parameter Uncertainties: A Monte Carlo Simulation
This paper reports the formulation and results of a Monte Carlo study of uncertainties in noise-parameter measurements. The simulator permits the computation of the dependence of the uncertainty in the noise parameters on uncertainties in the underlying quantities. Results are obtained for the effect due to uncertainties in the reflection coefficients of the input terminations, the noise temper...
متن کاملParameter sensitivity and uncertainty of the forest carbon flux model FORUG: a Monte Carlo analysis.
The Monte Carlo technique can be used to propagate input variable uncertainty and parameter uncertainty through a model to determine output uncertainty. However, to carry out Monte Carlo simulations, the uncertainty distributions or the probability density functions (PDFs) of the model parameters and input variables must be known. This remains one of the bottlenecks in current uncertainty resea...
متن کاملMonte Carlo analysis of parameter uncertainty in matrix models for the weed <i>Cirsium vulgare</i>
1. Parameter uncertainty challenges the use of matrix models because it violates key assumptions underlying elasticity analyses. We have developed a matrix model to compare Monte Carlo methods with elasticity analyses for estimation of the relative importance of factors in the asymptotic population growth rate, λ, of Cirsium vulgare (spear thistle) in Nebraska, USA. 2. We calculated λ for a bas...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Current Directions in Biomedical Engineering
سال: 2018
ISSN: 2364-5504
DOI: 10.1515/cdbme-2018-0091