Preclinical x-ray dark-field radiography for pulmonary emphysema evaluation

Yaroshenko A, Meinel FG, Bech M, Tapfer A, Velroyen A, Schleede S, Muller M, Auweter S, Bohla A, Yildirim AO, Nikolaou K, Bamberg F, Eickelberg O, Reiser M, Pfeiffer F (2013)


Publication Type: Conference contribution

Publication year: 2013

Journal

Pages Range: 370-373

Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging

Event location: USA

ISBN: 9781467364546

DOI: 10.1109/ISBI.2013.6556489

Abstract

Pulmonary emphysema is a widespread disorder characterized by irreversible destruction of alveolar walls. The spatial distribution of the disease, so far, could only be obtained using an x-ray CT scan, implying a high patient dose. X-ray scattering on alveolar structures is measured in the dark-field signal. The signal is dependent on the size of alveoli and therefore, a combination of absorption and dark-field signal is explored for mapping the distribution of emphysema in the lung on x-ray projection images. In this study three excised murine lungs with pulmonary emphysema and three control samples were imaged using a compact, cone-beam, small-animal x-ray dark-field scanner with a polychromatic source. Statistical analysis of the results, based on a combination of transmission and dark-field signals, revealed a distinct difference between emphysematous and control samples. Subsequently, the distribution of emphysema was mapped out per-pixel for the lungs and showed good agreement with histological findings. © 2013 IEEE.

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How to cite

APA:

Yaroshenko, A., Meinel, F.G., Bech, M., Tapfer, A., Velroyen, A., Schleede, S.,... Pfeiffer, F. (2013). Preclinical x-ray dark-field radiography for pulmonary emphysema evaluation. In Proceedings - International Symposium on Biomedical Imaging (pp. 370-373). USA.

MLA:

Yaroshenko, A., et al. "Preclinical x-ray dark-field radiography for pulmonary emphysema evaluation." Proceedings of the 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, USA 2013. 370-373.

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