Optimal computed tomography data acquisition techniques and filter selection for detection of small density variations

1996 ◽  
Vol 45 (1) ◽  
pp. 70-76 ◽  
Author(s):  
D.A. Viskoe ◽  
G.W. Donohoe
Keyword(s):  
Computed Tomography ◽  
Data Acquisition ◽  
Small Density ◽  
Selection For ◽  
Tomography Data ◽  
Filter Selection

A method for improved 4D-computed tomography data acquisition

2017 ◽  
Vol 27 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Martin Kupper ◽  
Wolfgang Sprengel ◽  
Peter Winkler ◽  
Brigitte Zurl
Keyword(s):  
Computed Tomography ◽  
Data Acquisition ◽  
4D Computed Tomography ◽  
Tomography Data

Condition Monitoring of Stepping Excavators during Operation

NDT World ◽  
2019 ◽  
pp. 26-29
Author(s):  
Патрик Ховард ◽  
Patrick Howard
Keyword(s):  
Computed Tomography ◽  
Data Acquisition ◽  
Inspection Time ◽  
Production Environment ◽  
Entire Volume ◽  
X Ray ◽  
Inspection Data ◽  
Turbine Airfoils ◽  
Area X ◽  
Tomography Data

The use of computed tomography slices covering the entire volume of a component has been critical to the advancement of innovative aerospace technologies. Inspection times for these components were often measured in hours, as data were acquired one single computed tomography slice at a time. Recent advancements in computed tomography data acquisition technology have moved from the use of linear X-ray detectors to area X-ray detectors that can collect computed tomography data from a component in a single acquisition. The use of area X-ray detectors to collect computed tomography data is often referred to as volumetric computed tomography (VCT) and has reduced data acquisition times for an entire component from hours to minutes. The reduced inspection time provided by VCT has made it practicable to use this technique for the production inspection of advanced components. In order to realize the use of VCT in a production environment, the data produced by the inspection must be analyzed within a time comparable to the time taken by the data acquisition. This paper describes a technique for rapidly analyzing VCT inspection data and the application of that technique to the inspection of turbine airfoils.

scholarly journals Tracker Readout ASIC for Proton Computed Tomography Data Acquisition

2013 ◽  
Vol 60 (5) ◽  
pp. 3262-3269 ◽  
Author(s):  
Robert P. Johnson ◽  
Joel DeWitt ◽  
Cole Holcomb ◽  
Scott Macafee ◽  
Hartmut F.-W. Sadrozinski ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Data Acquisition ◽  
Proton Computed Tomography ◽  
Tomography Data

scholarly journals Particle-Tracking Proton Computed Tomography—Data Acquisition, Preprocessing, and Preconditioning

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 25946-25958
Author(s):  
Blake Schultze ◽  
Paniz Karbasi ◽  
Christina Sarosiek ◽  
George Coutrakon ◽  
Caesar E. Ordonez ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Data Acquisition ◽  
Particle Tracking ◽  
Proton Computed Tomography ◽  
Tomography Data

Multidetector-row Computed Tomography in the Assessment of Coronary Artery Disease – New Techniques and Insights

2010 ◽  
Vol 6 (2) ◽  
pp. 43 ◽  
Author(s):  
Andreas H Mahnken ◽  
Keyword(s):  
Computed Tomography ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Data Acquisition ◽  
Temporal Resolution ◽  
High Temporal Resolution ◽  
Multidetector Row ◽  
Ct Scanners ◽  
Artery Disease ◽  
Cardiac Mdct

Over the last decade, cardiac computed tomography (CT) technology has experienced revolutionary changes and gained broad clinical acceptance in the work-up of patients suffering from coronary artery disease (CAD). Since cardiac multidetector-row CT (MDCT) was introduced in 1998, acquisition time, number of detector rows and spatial and temporal resolution have improved tremendously. Current developments in cardiac CT are focusing on low-dose cardiac scanning at ultra-high temporal resolution. Technically, there are two major approaches to achieving these goals: rapid data acquisition using dual-source CT scanners with high temporal resolution or volumetric data acquisition with 256/320-slice CT scanners. While each approach has specific advantages and disadvantages, both technologies foster the extension of cardiac MDCT beyond morphological imaging towards the functional assessment of CAD. This article examines current trends in the development of cardiac MDCT.

Parasitic capacitances estimation of an Electrical Impedance Tomography data acquisition system by Bayesian inference

Measurement ◽  
2021 ◽  
Vol 174 ◽  
pp. 108992
Author(s):  
Adriana Machado Malafaia da Mata ◽  
Bruno Furtado de Moura ◽  
Marcio Ferreira Martins ◽  
Francisco Hernán Sepúlveda Palma ◽  
Rogério Ramos
Keyword(s):  
Bayesian Inference ◽  
Data Acquisition ◽  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Impedance Tomography ◽  
Tomography Data ◽  
Electrical Impedance Tomography Data
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