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. 2022 Oct 29;53(4):649–659. doi: 10.1007/s00247-022-05522-4

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Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 7 — Photon-counting detector CT (PCD-CT) and conventional energy integrating detector CT (EID-CT) scanning in a 20-year-old man with cystic fibrosis. a–d Coronal detail of end-inspiratory CT using conventional EID-CT (a) and PCD-CT (b–d). Images (a) and (b) have slice thickness of 1 mm, and images (c) and (d), 0.6 mm and 0.2 mm, respectively. All four images have similar kernels including iterative reconstruction. Comparison of images (a) and (b) shows a clear reduction of image noise (reduced granularity in the axillary region, thick arrow) and sharper definition of bronchial wall and cystic bronchiectasis in the PCD-CT (thin arrow). In images (c) and (d), the increased resolution allows sharper details of the most peripheral structures (thin arrow)