Lung tumors on multimodal radiographs derived from grating-based X-ray imaging - A feasibility study

Research output: Contribution to journalArticle


Purpose: The purpose of this study was to assess whether grating-based X-ray imaging may have a role in imaging of pulmonary nodules on radiographs. Materials and methods: A mouse lung containing multiple lung tumors was imaged using a small-animal scanner with a conventional X-ray source and a grating interferometer for phase-contrast imaging. We qualitatively compared the signal characteristics of lung nodules on transmission, dark-field and phase-contrast images. Furthermore, we quantitatively compared signal characteristics of lung tumors and the adjacent lung tissue and calculated the corresponding contrast-to-noise ratios. Results: Of the 5 tumors visualized on the transmission image, 3/5 tumors were clearly visualized and 1 tumor was faintly visualized in the dark-field image as areas of decreased small angle scattering. In the phase-contrast images, 3/5 tumors were clearly visualized, while the remaining 2 tumors were faintly visualized by the phase-shift occurring at their edges. No additional tumors were visualized in either the dark-field or phase-contrast images. Compared to the adjacent lung tissue, lung tumors were characterized by a significant decrease in transmission signal (median 0.86 vs. 0.91, p = 0.04) and increase in dark-field signal (median 0.71 vs. 0.65, p = 0.04). Median contrast-to-noise ratios for the visualization of lung nodules were 4.4 for transmission images and 1.7 for dark-field images (p = 0.04). Conclusion: Lung nodules can be visualized on all three radiograph modalities derived from grating-based X-ray imaging. However, our initial data suggest that grating-based multimodal X-ray imaging does not increase the sensitivity of chest radiographs for the detection of lung nodules. (C) 2013 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.


  • Felix G. Meinel
  • Felix Schwab
  • Andre Yaroshenko
  • Astrid Velroyen
  • Martin Bech
  • Katharina Hellbach
  • Jeanette Fuchs
  • Thorsten Stiewe
  • Ali Oe Yildirim
  • Fabian Bamberg
  • Maximilian F. Reiser
  • Franz Pfeiffer
  • Konstantin Nikolaou
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Radiology, Nuclear Medicine and Medical Imaging


  • X-ray phase-contrast imaging, X-ray dark-field imaging, Chest, radiography, Lung tumors
Original languageEnglish
Pages (from-to)352-357
JournalPhysica Medica
Issue number3
Publication statusPublished - 2014
Publication categoryResearch