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The aim of this study was to determine the effects of different reconstruction algorithms on histogram and texture features in different targets. The authors reconstructed CT images with filtered back-projection (FBP), hybrid iterative reconstruction (HIR), and iterative model reconstruction (IMR) algorithms and performed computerized histogram and texture analyses by extracting 11 features. The results enabled the authors to conclude that different reconstruction algorithms had distinct, significant effects, whereas some algorithms had a greater effect on focal liver lesions than on liver parenchyma or cysts.

Key Points

  • Imaging heterogeneities influenced the quantification of image features.
  • Different reconstruction algorithms had a significant effect on histogram and texture features.
  • Solid liver lesions were more affected than liver parenchyma or cysts.

Article: CT reconstruction algorithms affect histogram and texture analysis: evidence for liver parenchyma, focal solid liver lesions, and renal cysts

Authors: Su Joa Ahn, Jung Hoon Kim, Sang Min Lee, Sang Joon Park, Joon Koo Han

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