SU-E-I-42: Some New Aspects of the Energy Weighting Technique

2015 ◽  
Vol 42 (6Part6) ◽  
pp. 3251-3251
Author(s):  
K Ganezer ◽  
M Krmar ◽  
I Josipovic
Keyword(s):  
Energy Weighting ◽  
Weighting Technique

Energy weighting technique in Quantum Computed Tomography using a MPGD

2011 ◽  
Vol 6 (02) ◽  
pp. C02002-C02002 ◽  
Author(s):  
L F N D Carramate ◽  
C A B Oliveira ◽  
A L M Silva ◽  
A M da Silva ◽  
J M F dos Santos ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Energy Weighting ◽  
Weighting Technique

scholarly journals Spatial Unmasking Effect on Speech Reception Threshold in the Median Plane

2020 ◽  
Vol 10 (15) ◽  
pp. 5257
Author(s):  
Nathan Berwick ◽  
Hyunkook Lee
Keyword(s):  
Transfer Function ◽  
Input Signal ◽  
Function Analysis ◽  
Median Plane ◽  
Speech Reception ◽  
Transfer Function Analysis ◽  
Spatial Unmasking ◽  
Head Related Transfer Function ◽  
Speech Reception Thresholds ◽  
Energy Weighting

This study examined whether the spatial unmasking effect operates on speech reception thresholds (SRTs) in the median plane. SRTs were measured using an adaptive staircase procedure, with target speech sentences and speech-shaped noise maskers presented via loudspeakers at −30°, 0°, 30°, 60° and 90°. Results indicated a significant median plane spatial unmasking effect, with the largest SRT gain obtained for the −30° elevation of the masker. Head-related transfer function analysis suggests that the result is associated with the energy weighting of the ear-input signal of the masker at upper-mid frequencies relative to the maskee.

DRUG EVALUATION AND DECISION MAKING IN CATALONIA: DEVELOPMENT AND VALIDATION OF A METHODOLOGICAL FRAMEWORK BASED ON MULTI-CRITERIA DECISION ANALYSIS (MCDA) FOR ORPHAN DRUGS

2017 ◽  
Vol 33 (1) ◽  
pp. 111-120 ◽  
Author(s):  
Antoni Gilabert-Perramon ◽  
Josep Torrent-Farnell ◽  
Arancha Catalan ◽  
Alba Prat ◽  
Manel Fontanet ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Unmet Needs ◽  
Drug Evaluation ◽  
Evaluation Criteria ◽  
Orphan Drugs ◽  
Methodological Framework ◽  
Multi Criteria Decision Analysis ◽  
Development And Validation ◽  
Weighting Technique

Objectives:The aim of this study was to adapt and assess the value of a Multi-Criteria Decision Analysis (MCDA) framework (EVIDEM) for the evaluation of Orphan drugs in Catalonia (Catalan Health Service).Methods:The standard evaluation and decision-making procedures of CatSalut were compared with the EVIDEM methodology and contents. The EVIDEM framework was adapted to the Catalan context, focusing on the evaluation of Orphan drugs (PASFTAC program), during a Workshop with sixteen PASFTAC members. The criteria weighting was done using two different techniques (nonhierarchical and hierarchical). Reliability was assessed by re-test.Results:The EVIDEM framework and methodology was found useful and feasible for Orphan drugs evaluation and decision making in Catalonia. All the criteria considered for the development of the CatSalut Technical Reports and decision making were considered in the framework. Nevertheless, the framework could improve the reporting of some of these criteria (i.e., “unmet needs” or “nonmedical costs”). Some Contextual criteria were removed (i.e., “Mandate and scope of healthcare system”, “Environmental impact”) or adapted (“population priorities and access”) for CatSalut purposes. Independently of the weighting technique considered, the most important evaluation criteria identified for orphan drugs were: “disease severity”, “unmet needs” and “comparative effectiveness”, while the “size of the population” had the lowest relevance for decision making. Test–retest analysis showed weight consistency among techniques, supporting reliability overtime.Conclusions:MCDA (EVIDEM framework) could be a useful tool to complement the current evaluation methods of CatSalut, contributing to standardization and pragmatism, providing a method to tackle ethical dilemmas and facilitating discussions related to decision making.

Regression analysis of longitudinal covariates with censored and longitudinal outcome

2018 ◽  
Author(s):  
◽  
Li Chen
Keyword(s):  
Regression Analysis ◽  
Longitudinal Data ◽  
Linear Models ◽  
Partial Likelihood ◽  
Response Variable ◽  
Additive Hazards ◽  
Time Points ◽  
Longitudinal Outcome ◽  
Longitudinal Covariates ◽  
Weighting Technique

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Longitudinal data contain repeated measurements of variables on the same experimental subject. It is often of interest to analyze the relationship between these variables. Typically, there is one or several longitudinal covariates and a response variable that can be either longitudinal or time to an event. Regression models can be employed to analyze these relationships. Ideally, longitudinal variables should be continuously monitored and their complete trajectories along the time are observed. Practically, however, this is unrealistic, either economically or methodologically. Often one only obtains so called sparse longitudinal data, where variables are intermittently observed at relatively sparse time points within the period of study. Such sparse longitudinal data give rise to an issue for the analysis of the response of time to an event, where survival analysis is typically implemented, e.g. the Cox model or additive hazards model. In both models, the values of covariates of all subjects at risk are needed in order to calculate the partial likelihood. But in the case of sparse longitudinal data, the availability of these observations may not be satis fied. Moreover, if the response variable is also longitudinal, it is possible that the response and covariates are not observed altogether, or at least not close to each other enough to be considered as observed simultaneously. Although a wealth of studies have been dedicated to longitudinal data analysis, very few of them have seriously considered and rigorously studied the situation aforementioned. In this dissertation, we discuss the regression analysis of longitudinal cavities with censored and longitudinal outcome. To be specific, Chapter 2 targets the additive hazards models with sparse longitudinal covariates, Chapter 3 studies the partially linear models with longitudinal covariates and response observed at mismatched time points, also known as asynchronous longitudinal data, and Chapter 4 explores longitudinal data with more complex structures with linear models. Kernel weighting technique is the key idea to all the stated researches. Estimators are derived based on kernel weighting technique and their asymptotical properties were rigorously examined, along with simulation studies for their fi nite sample performance, and illustrations using real data sets.

Dose-Saving Potential of Linear- and Non-Linear Energy Weighting in Photon-Counting Spectral Mammography

2014 ◽  
pp. 103-108
Author(s):  
Udo van Stevendaal ◽  
Hanno Homann ◽  
Ewald Roessl ◽  
Klaus Erhard ◽  
Björn Cederström
Keyword(s):  
Photon Counting ◽  
Non Linear ◽  
Dose Saving ◽  
Energy Weighting

The Effect of Photon Energy Weighting on X-ray Imaging Based on a Photon Counting Detector

2011 ◽  
Vol 59 (5) ◽  
pp. 3114-3119 ◽  
Author(s):  
Yu-Na Choi ◽  
Seung-Wan Lee ◽  
Hyo-Min Cho ◽  
Hyun-Ju Ryu ◽  
Young-Jin Lee ◽  
...  
Keyword(s):  
Photon Energy ◽  
Photon Counting ◽  
X Ray ◽  
Photon Counting Detector ◽  
X Ray Imaging ◽  
Energy Weighting

A wavelet video coding algorithm with balanced significance probability tree based on energy weighting

2019 ◽  
Vol 78 (21) ◽  
pp. 30877-30893
Author(s):  
Chuan-Ming Song ◽  
Bo Fu ◽  
Xiang-Hai Wang ◽  
Ming-Zhe Fu
Keyword(s):  
Video Coding ◽  
Wavelet Video Coding ◽  
Probability Tree ◽  
Energy Weighting
Sign in / Sign up

Export Citation Format

Share Document