scholarly journals Use of a computer simulator to investigate optimized tube voltage for chest imaging of average patients with a digital radiography (DR) imaging system

2019 ◽  
Vol 92 (1104) ◽  
pp. 20190470 ◽  
Author(s):  
Craig Steven Moore ◽  
Tim Wood ◽  
Ged Avery ◽  
Steve Balcam ◽  
Liam Needler ◽  
...  
Keyword(s):  
Digital Radiography ◽  
Imaging System ◽  
Lung Nodule ◽  
Clinical Image ◽  
Reference Image ◽  
Specific Reference ◽  
Chest Imaging ◽  
Tube Voltage ◽  
Voltage Range ◽  
Low Kvp

Objective: The aim of this study was to investigate via computer simulation a proposed improvement to clinical practice by deriving an optimized tube voltage (kVp) range for digital radiography (DR) chest imaging. Methods: A digitally reconstructed radiograph algorithm was used which was capable of simulating DR chest radiographs containing clinically relevant anatomy. Five experienced image evaluators graded clinical image criteria, i.e. overall quality, rib, lung, hilar, spine, diaphragm and lung nodule in images of 20 patients at tube voltages across the diagnostic energy range. These criteria were scored against corresponding images of the same patient reconstructed at a specific reference kVp. Evaluators were blinded to kVp. Evaluator score for each criterion was modelled with a linear mixed effects algorithm and compared with the score for the reference image. Results: Score was dependent on tube voltage and image criteria in a statistically significant manner for both. Overall quality, hilar, diaphragm and spine criteria performed poorly at low and high tube voltages, peaking at 80–100 kVp. Lung and lung nodule demonstrated little variation. Rib demonstrated superiority at low kVp. Conclusion: A virtual clinical trial has been performed with simulated chest DR images. Results indicate mid-range tube voltages of 80–100 kVp are optimum for average adults. Advances in knowledge: There are currently no specific recommendations for optimized tube voltage parameters for DR chest imaging. This study, validated with images containing realistic anatomical noise, has investigated and recommended an optimal tube voltage range.

scholarly journals Optimisation of tube voltage range (kVp) for AP abdomen, pelvis and spine imaging of average patients with a digital radiography (DR) imaging system using a computer simulator

2020 ◽  
Vol 93 (1114) ◽  
pp. 20200565
Author(s):  
Craig Steven Moore ◽  
Tim Wood ◽  
Stephen Balcam ◽  
Liam Needler ◽  
Tim Guest ◽  
...  
Keyword(s):  
Lumbar Spine ◽  
Digital Radiography ◽  
Imaging System ◽  
Statistical Significance ◽  
Clinical Image ◽  
Specific Reference ◽  
Tube Voltage ◽  
Voltage Range ◽  
Optimum Range ◽  
Spine Imaging

Objectives: To investigate via computer simulation, an optimised tube voltage (kVp) range for caesium iodide (CsI)-based digital radiography (DR) of the abdomen, pelvis and lumbar spine. Methods: Software capable of simulating abdomen, pelvis and spine radiographs was used. Five evaluators graded clinical image criteria in images of 20 patients at tube voltages ranging from 60 to 120 kVp in 10 kVp increments. These criteria were scored blindly against the same patient reconstructed at a specific reference kVp. Linear mixed effects analysis was used to evaluate image scores for each criterion and test for statistical significance. Results: Score was dependent on tube voltage and image criteria; both were statistically significant. All criteria for all anatomies scored very poorly at 60 kVp. Scores for abdomen, pelvis and spine imaging peaked at 70, 70 and 100 kVp, respectively, but other kVp values were not significantly poorer. Conclusions: Results indicate optimum tube voltages of 70 kVp for abdomen and pelvis (with an optimum range 70–120 kVp), and 100 kVp (optimum range 80–120 kVp) for lumbar spine. Advances in knowledge: There are no recommendations for optimised tube voltage parameters for DR abdomen, pelvis or lumbar spine imaging. This study has investigated and recommended an optimal tube voltage range.

WE-E-330D-05: Investigation of Imaging Performance and Acquisition Technique for a New Dual-Energy Chest Imaging System

2006 ◽  
Vol 33 (6Part20) ◽  
pp. 2252-2252
Author(s):  
N Shkumat ◽  
J Siewerdsen ◽  
A Dhanantwari ◽  
D Williams ◽  
S Richard ◽  
...  
Keyword(s):  
Imaging System ◽  
Dual Energy ◽  
Chest Imaging ◽  
Imaging Performance ◽  
Acquisition Technique

scholarly journals Application of the 3D slicer chest imaging platform segmentation algorithm for large lung nodule delineation

PLoS ONE ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. e0178944 ◽  
Author(s):  
Stephen S. F. Yip ◽  
Chintan Parmar ◽  
Daniel Blezek ◽  
Raul San Jose Estepar ◽  
Steve Pieper ◽  
...  
Keyword(s):  
Lung Nodule ◽  
Segmentation Algorithm ◽  
Chest Imaging ◽  
3D Slicer

scholarly journals Development of Portable Digital Radiography System with a Device for Monitoring X-ray Source-Detector Angle and Its Application in Chest Imaging

Sensors ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 531 ◽  
Author(s):  
Tae-Hoon Kim ◽  
Dong-Woon Heo ◽  
Chang-Won Jeong ◽  
Jong-Hyun Ryu ◽  
Hong Jun ◽  
...  
Keyword(s):  
Digital Radiography ◽  
Chest Imaging ◽  
X Ray ◽  
Digital Radiography System ◽  
Radiography System ◽  
Detector Angle

Research on the Color Correction Algorithm of Images Based on Histogram Matching

2013 ◽  
Vol 469 ◽  
pp. 256-259 ◽  
Author(s):  
Jing Zhang ◽  
Guang Xue Chen
Keyword(s):  
Imaging System ◽  
Color Correction ◽  
Experimental Result ◽  
Reference Image ◽  
Atmospheric Conditions ◽  
Correction Algorithm ◽  
Lighting Conditions ◽  
Histogram Matching ◽  
Color Differences ◽  
Processing Software

Different rendering conditions (e.g., changes in lighting conditions or atmospheric conditions, changes of the imaging system) often cause significant color differences between two images. In the prepress process, the brightness and hue between two images should be adjusted to be as similar as possible. Currently, we generally use image processing software such as PhotoShop to adjust the image manually, it’s complex and time consuming. In this paper, the color correction algorithm based on histogram matching was put forward and implemented. Only one image needed to be adjusted well previously as the reference image, and the mapping relationship was established on pixels between the histogram of the source images and the reference image, then the source images would have the histograms similar to that of the reference image, so that the images would have similar color characteristic and achieve image color correction finally. The experimental result showed that the realized color correction algorithm was effective, it could not only maintain the visual effect of images, but also eliminate the color differences between the reference image and the source images.

scholarly journals Diagnostic Performance of a Prototype Dual-Energy Chest Imaging System

2010 ◽  
Vol 17 (3) ◽  
pp. 298-308 ◽  
Author(s):  
Hany Kashani ◽  
Carlos A. Varon ◽  
Narinder S. Paul ◽  
Grace J. Gang ◽  
Rich Van Metter ◽  
...  
Keyword(s):  
Diagnostic Performance ◽  
Imaging System ◽  
Dual Energy ◽  
Chest Imaging

scholarly journals High-Sensitivity X-ray Phase Imaging System Based on a Hartmann Wavefront Sensor

2021 ◽  
Vol 7 (1) ◽  
pp. 3
Author(s):  
Ginevra Begani Provinciali ◽  
Martin Piponnier ◽  
Laura Oudjedi ◽  
Xavier Levecq ◽  
Fabrice Harms ◽  
...  
Keyword(s):  
Imaging System ◽  
High Sensitivity ◽  
Test Sample ◽  
Wavefront Sensor ◽  
Reference Image ◽  
High Angular Resolution ◽  
Phase Imaging ◽  
X Ray ◽  
Laboratory Setup ◽  
The Impact

The Hartman wavefront sensor can be used for X-ray phase imaging with high angular resolution. The Hartmann sensor is able to retrieve both the phase and absorption from a single acquisition. The system calculates the shift in a series of apertures imaged with a detector with respect to their reference positions. In this article, the impact of the reference image on the final image quality is investigated using a laboratory setup. Deflection and absorption images of the same sample are compared using reference images acquired in air and in water. It can be easily coupled with tomographic setups to obtain 3D images of both phase and absorption. Tomographic images of a test sample are shown, where deflection images revealed details that were invisible in absorption. The findings reported in this paper can be used for the improvement of image reconstruction and for expanding the applications of X-ray phase imaging towards materials characterization and medical imaging.

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