Lung tumors on multimodal radiographs derived from grating-based X-ray imaging - A feasibility study
Meinel FG, Schwab F, Yaroshenko A, Velroyen A, Bech M, Hellbach K, Fuchs J, Stiewe T, Yildirim AO, Bamberg F, Reiser MF, Pfeiffer F, Nikolaou K (2014)
Publication Type: Journal article
Publication year: 2014
Journal
Book Volume: 30
Pages Range: 352-357
Journal Issue: 3
DOI: 10.1016/j.ejmp.2013.11.001
Abstract
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. © 2013 Associazione Italiana di Fisica Medica.
Involved external institutions
Klinikum der Universität München (Großhadern und Innenstadt)
Germany (DE)
Technische Universität München (TUM)
Germany (DE)
Philipps-Universität Marburg
Germany (DE)
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (HMGU) / Helmholtz Munich
Germany (DE)
Germany (DE)
Technische Universität München (TUM)
Germany (DE)
Philipps-Universität Marburg
Germany (DE)
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (HMGU) / Helmholtz Munich
Germany (DE)
How to cite
APA:
Meinel, F.G., Schwab, F., Yaroshenko, A., Velroyen, A., Bech, M., Hellbach, K.,... Nikolaou, K. (2014). Lung tumors on multimodal radiographs derived from grating-based X-ray imaging - A feasibility study. Physica Medica, 30(3), 352-357. https://doi.org/10.1016/j.ejmp.2013.11.001
MLA:
Meinel, Felix G., et al. "Lung tumors on multimodal radiographs derived from grating-based X-ray imaging - A feasibility study." Physica Medica 30.3 (2014): 352-357.
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