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. 2019 Sep 4;13:61. doi: 10.3389/fninf.2019.00061

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Copyright © 2019 Muschelli.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Different series for a scanning study. Here we present different non-contrast head CT exported from a PACS. We display a reconstructed scan with a bone convolution kernel (A), showing bright areas of the skull, which can be investigated for breaks or fractures. When applying a window of 0–100 Hounsfield units (HU) of this image, we see the image resolution (B). Using a Gaussian (C) or Perona-Malik (D) smoother, we see the resulting image smoothness is similar to the image reconstructed with a soft-tissue convolution kernel (E). Images (A–E) had a slice thickness of 5 mm. The thin-slice scan (F) had a slice thickness of 0.62 mm and a soft-tissue convolution kernel. CT scan with contrast agent (G) to show how the contrast affects the CT image.