How to measure CT image quality: Variations in CT-numbers, uniformity and low contrast resolution for a CT quality assurance phantom

2014 ◽  
Vol 30 (4) ◽  
pp. 521-526 ◽  
Author(s):  
Kristine Gulliksrud ◽  
Caroline Stokke ◽  
Anne Catrine Trægde Martinsen
Keyword(s):  
Quality Assurance ◽  
Image Quality ◽  
Ct Image ◽  
Contrast Resolution ◽  
Low Contrast ◽  
Ct Image Quality

scholarly journals Optimization of Image Quality in Paediatric Computed Tomography

2021 ◽  
Author(s):  
Angjelina Protik
Keyword(s):  
Image Quality ◽  
Dose Reduction ◽  
Quantitative Data ◽  
Ct Image ◽  
Contrast Resolution ◽  
Diagnostic Quality ◽  
Advantages And Disadvantages ◽  
Phantom Studies ◽  
Ct Image Quality ◽  
The Impact

In this study the effects of ASIR™ and collimation on CT image quality (IQ) parameters were quantified. Catphan®600 phantom studies were performed on a GE HD750 64-slice scanner to investigate the impact of collimation 0.625mm vs. 5mm on the overall IQ. For noise and dose reduction ASIR™ was tested on 0.625mm collimation. The varying %ASIR™, scanned at 150mA and variable kVp and 50% ASIR™ compared to FBP on wide kVp/mA range was used. Image noise, CT# accuracy and uniformity, spatial and contrast resolution, MTF, CNR and Wiener spectrum analysis were performed on 0.625mmAX slices, 5mmAXMPR and 2mmCORMPR. Incremental advantages and disadvantages were seen with stepwise increase in %ASIR™. The 50% ASIR™ was found to be optimal blend for diagnostic quality and has potential for dose reduction in paediatric CT. This quantitative data could be used to design ASIR™-enhanced protocols with consideration of diagnostic task, balancing image quality and radiation dose.

scholarly journals Optimization of Image Quality in Paediatric Computed Tomography

2021 ◽  
Author(s):  
Angjelina Protik
Keyword(s):  
Image Quality ◽  
Dose Reduction ◽  
Quantitative Data ◽  
Ct Image ◽  
Contrast Resolution ◽  
Diagnostic Quality ◽  
Advantages And Disadvantages ◽  
Phantom Studies ◽  
Ct Image Quality ◽  
The Impact

In this study the effects of ASIR™ and collimation on CT image quality (IQ) parameters were quantified. Catphan®600 phantom studies were performed on a GE HD750 64-slice scanner to investigate the impact of collimation 0.625mm vs. 5mm on the overall IQ. For noise and dose reduction ASIR™ was tested on 0.625mm collimation. The varying %ASIR™, scanned at 150mA and variable kVp and 50% ASIR™ compared to FBP on wide kVp/mA range was used. Image noise, CT# accuracy and uniformity, spatial and contrast resolution, MTF, CNR and Wiener spectrum analysis were performed on 0.625mmAX slices, 5mmAXMPR and 2mmCORMPR. Incremental advantages and disadvantages were seen with stepwise increase in %ASIR™. The 50% ASIR™ was found to be optimal blend for diagnostic quality and has potential for dose reduction in paediatric CT. This quantitative data could be used to design ASIR™-enhanced protocols with consideration of diagnostic task, balancing image quality and radiation dose.

scholarly journals Comparison between NEMA NU-2 and the new report of AAPM TG 126 for PET-CT image quality

2021 ◽  
Author(s):  
Eugenio Galicia-Larios ◽  
Carlos Alberto Reynoso-Mejía
Keyword(s):  
Image Quality ◽  
Ct Image ◽  
Pet Ct ◽  
Ct Image Quality

scholarly journals Adaptive Iterative Dose Reduction Using Three Dimensional Processing (AIDR3D) Improves Chest CT Image Quality and Reduces Radiation Exposure

PLoS ONE ◽  
2014 ◽  
Vol 9 (8) ◽  
pp. e105735 ◽  
Author(s):  
Tsuneo Yamashiro ◽  
Tetsuhiro Miyara ◽  
Osamu Honda ◽  
Hisashi Kamiya ◽  
Kiyoshi Murata ◽  
...  
Keyword(s):  
Image Quality ◽  
Radiation Exposure ◽  
Dose Reduction ◽  
Three Dimensional ◽  
Chest Ct ◽  
Ct Image ◽  
Ct Image Quality ◽  
Dimensional Processing

Automating routine CT image quality analysis from a virtual server

2018 ◽  
Vol 52 ◽  
pp. 166
Author(s):  
Patrick Monnelly ◽  
John Cronin ◽  
Peter Woulfe
Keyword(s):  
Image Quality ◽  
Quality Analysis ◽  
Ct Image ◽  
Image Quality Analysis ◽  
Ct Image Quality

Optimization of PET/CT image quality using the GE ‘Sharp IR’ point-spread function reconstruction algorithm

2017 ◽  
Vol 38 (6) ◽  
pp. 471-479 ◽  
Author(s):  
Nicholas J. Vennart ◽  
Nicholas Bird ◽  
John Buscombe ◽  
Heok K. Cheow ◽  
Ewa Nowosinska ◽  
...  
Keyword(s):  
Image Quality ◽  
Point Spread Function ◽  
Reconstruction Algorithm ◽  
Ct Image ◽  
Point Spread ◽  
Pet Ct ◽  
Spread Function ◽  
Ct Image Quality ◽  
Function Reconstruction

scholarly journals Use of a channelized Hotelling observer to assess CT image quality and optimize dose reduction for iteratively reconstructed images

2017 ◽  
Vol 4 (03) ◽  
pp. 1 ◽  
Author(s):  
Christopher P. Favazza ◽  
Andrea Ferrero ◽  
Lifeng Yu ◽  
Shuai Leng ◽  
Kyle L. McMillan
Keyword(s):  
Image Quality ◽  
Dose Reduction ◽  
Ct Image ◽  
Hotelling Observer ◽  
Ct Image Quality ◽  
Channelized Hotelling Observer
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