Simultaneous wood and metal particle detection on dark-field radiography

Eva Maria Braig, Lorenz Birnbacher, Florian Schaff, Lukas Gromann, Alexander Fingerle, Julia Herzen, Ernst Rummeny, Peter Noël, Franz Pfeiffer, Daniela Muenzel

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

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.

Original languageEnglish
Article number1
JournalEuropean Radiology Experimental
Volume2
Issue number1
DOIs
StatePublished - 1 Dec 2018

Keywords

  • Dark-field contrast
  • Extremities
  • Foreign bodies
  • Hand
  • Radiography

Fingerprint

Dive into the research topics of 'Simultaneous wood and metal particle detection on dark-field radiography'. Together they form a unique fingerprint.

Cite this