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Proceedings Paper

Preclinical x-ray dark-field imaging: foreign body detection
Author(s): Eva-Maria Braig; Daniela Muenzel; Alexander Fingerle; Julia Herzen; Ernst Rummeny; Franz Pfeiffer; Peter Noel
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Paper Abstract

The purpose of this study was to evaluate the performance of X-ray dark-field imaging for detection of retained foreign bodies in ex-vivo hands and feet. X-ray dark-field imaging, acquired with a three-grating Talbot-Lau interferometer, has proven to provide access to sub-resolution structures due to small-angle scattering. The study was institutional review board (IRB) approved. Foreign body parts included pieces of wood and metal which were placed in a formalin fixated human ex-vivo hand. The samples were imaged with a grating-based interferometer consisting of a standard microfocus X-ray tube (60 kVp, 100 W) and a Varian 2520-DX detector (pixel size: 127 μm). The attenuation and the dark-field signals provide complementary diagnostic information for this clinical task. With regard to detecting of wooden objects, which are clinically the most relevant, only the dark-field image revealed the locations. The signal is especially strong for dry wood which in comparison is poorly to non-visible in computed tomography. The detection of high atomic-number or dense material and wood-like or porous materials in a single X-ray scan is enabled by the simultaneous acquisition of the conventional attenuation and dark-field signal. Our results reveal that with this approach one can reach a significantly improved sensitivity for detection of foreign bodies, while an easy implementation into the clinical arena is becoming feasible.

Paper Details

Date Published: 9 March 2017
PDF: 6 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101325G (9 March 2017); doi: 10.1117/12.2254261
Show Author Affiliations
Eva-Maria Braig, Technische Univ. München (Germany)
Daniela Muenzel, Technische Univ. München (Germany)
Alexander Fingerle, Technische Univ. München (Germany)
Julia Herzen, Technische Univ. München (Germany)
Ernst Rummeny, Technische Univ. München (Germany)
Franz Pfeiffer, Technische Univ. München (Germany)
Peter Noel, Technische Univ. München (Germany)

Published in SPIE Proceedings Vol. 10132:
Medical Imaging 2017: Physics of Medical Imaging
Thomas G. Flohr; Joseph Y. Lo; Taly Gilat Schmidt, Editor(s)

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