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Normalizing computed tomography data reconstructed with different filter kernels: effect on emphysema quantification.

Leticia Gallardo-Estrella | David A Lynch | Mathias Prokop | Douglas Stinson | Jordan Zach | Philip F Judy | Bram van Ginneken | Eva M van Rikxoort
European radiology | 2016

To propose and evaluate a method to reduce variability in emphysema quantification among different computed tomography (CT) reconstructions by normalizing CT data reconstructed with varying kernels.

Pubmed ID: 26002132

Research resources used in this publication

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Associated grants

  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL089856
  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL089897
  • Agency: NHLBI NIH HHS, United States
    Id: U01 HL089856
  • Agency: NHLBI NIH HHS, United States
    Id: U01 HL089897

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R Project for Statistical Computing (tool)

RRID:SCR_001905

Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.

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Graphical Overview of Linkage Disequilibrium (tool)

RRID:SCR_007151

Software package that provides a graphical summary of linkage disequilibrium in human genetic data. The graphical summary is well suited to the analysis of dense genetic maps, where contingency tables are cumbersome to interpret. An interface to the Simwalk2 application allows for the analysis of family data.

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