Simultaneous wood and metal particle detection on dark-field radiography

Braig EM, Birnbacher L, Schaff F, Gromann L, Fingerle A, Herzen J, Rummeny E, Noel P, Pfeiffer F, Muenzel D (2018)


Publication Type: Journal article

Publication year: 2018

Journal

Book Volume: 2

Article Number: 1

Journal Issue: 1

DOI: 10.1186/s41747-017-0034-1

Abstract

Background: Currently, the detection of retained wood is a frequent but challenging task in emergency care. The purpose of this study is to demonstrate improved foreign-body detection with the novel approach of preclinical X-ray dark-field radiography. Methods: At a preclinical dark-field x-ray radiography, setup resolution and sensitivity for simultaneous detection of wooden and metallic particles have been evaluated in a phantom study. A clinical setting has been simulated with a formalin fixated human hand where different typical foreign-body materials have been inserted. Signal-to-noise ratios (SNR) have been determined for all test objects. Results: On the phantom, the SNR value for wood in the dark-field channel was strongly improved by a factor 6 compared to conventional radiography and even compared to the SNR of an aluminium structure of the same size in conventional radiography. Splinters of wood < 300 μm in diameter were clearly detected on the dark-field radiography. Dark-field radiography of the formalin-fixated human hand showed a clear signal for wooden particles that could not be identified on conventional radiography. Conclusions: x-ray dark-field radiography enables the simultaneous detection of wooden and metallic particles in the extremities. It has the potential to improve and simplify the current state-of-the-art foreign-body detection.

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How to cite

APA:

Braig, E.-M., Birnbacher, L., Schaff, F., Gromann, L., Fingerle, A., Herzen, J.,... Muenzel, D. (2018). Simultaneous wood and metal particle detection on dark-field radiography. European Radiology Experimental, 2(1). https://doi.org/10.1186/s41747-017-0034-1

MLA:

Braig, Eva-Maria, et al. "Simultaneous wood and metal particle detection on dark-field radiography." European Radiology Experimental 2.1 (2018).

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