Skip to main content

Advertisement

European Radiology Experimental
European Radiology Experimental Cover Image
We’d like to understand how you use our websites in order to improve them. Register your interest.
Download PDF

Simultaneous wood and metal particle detection on dark-field radiography

European Radiology Experimental volume 2, Article number: 1 (2018) Cite this article

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.

Key points

  • Retained wood is hardly detectable in an effective, reliable way for emergency settings.

  • Grating-based x-ray dark-field imaging enables the detection of wood on plain radiography.

  • The signal-to-noise ratio of wood was six times higher compared to that obtained for conventional attenuation.

  • Conventional radiography image is acquired simultaneously with the dark-field image.

Background

Open wound care is one of the most frequent tasks in emergency care, while being closely related to the possibility of retained foreign bodies [1, 2]. Typically, for a patient with characteristic signs of a retained foreign body, physical examination is followed by a routine radiography [3].

The majority of foreign bodies consist either of metal, glass or wood [4, 5]. In particular, wood, the most frequent type of foreign body in the extremities, is likely to be missed in 85–95% of patients at the initial radiographic examination because of its low attenuation property [1, 3, 4, 6,7,8,9]. While x-ray radiography is highly sensitive for the detection of materials with high atomic numbers like metals, weakly absorbing foreign bodies are reportedly elusive in plain radiography. Even computed tomography (CT) does often not allow to distinguish wood from other hypodense materials like fat or air [6, 7, 9, 10].

Magnetic resonance imaging exhibits good soft-tissue contrast mainly due to differences in water and lipid contents as well as in relaxation times. However, routine foreign-body detection with magnetic resonance imaging is not feasible in an emergency department workflow due to poor accessibility, low cost-effectiveness, and particularly the risk for patients with possibly ferromagnetic foreign bodies associated with the strong magnetic field [11, 12].

Ultrasonography shows good success in detecting retained soft-tissue materials in the cases with a sufficient change of material impedance but is still highly dependent on the operator’s expertise and requires a time-consuming examination by the treating physician [3, 13].

In this proof-of-principle study, we present the simultaneous detection of metallic and wooden foreign bodies on preclinical x-ray dark-field radiography. The underlying technique is based on the detection of small angle scattering at micron-range substructures while simultaneously providing the conventional attenuation image [14,15,16]. In the following, we demonstrate experimentally the potential of foreign-body detection in x-ray dark-field radiography. Thereby, we show phantom and sample measurements with a preclinical setup and discuss the potential of diagnostic improvement of x-ray dark-field radiography for the detection of foreign bodies.

Methods

Signal extraction in x-ray dark-field imaging

The x-ray dark-field radiography setup is based on a Talbot-Lau interferometer [16] consisting of an x-ray source, three x-ray gratings and one x-ray detector, as illustrated in Fig. 1. A source grating (G0) renders the method accessible with a clinical x-ray source by providing the beam coherence necessary for the method. A phase shifting grating (G1) causes a specific periodic interference pattern, which can be resolved by the analyser grating (G2) in combination with the detector. By laterally scanning one of the gratings (the so-called phase-stepping), one measures an oscillating signal for each single detector pixel. Comparing a sample scan to a reference scan without sample yields three complementary signals for the sample simultaneously: the conventional attenuation; the differential phase shift; and the dark-field signal. In this study, we focus mainly on the attenuation and the dark-field signal. A more detailed description of this method was previously given [14, 17,18,19].

Fig. 1
figure1

Basic principle of the experimental x-ray dark-field radiography setup. a The experimental dark-field radiography setup is based on a three grating interferometer, a so-called Talbot-Lau interferometer. The source grating G0 provides the necessary beam coherence for interference effects to occur with a clinical x-ray source, the phase grating G1 causes a periodic modulation of the interference pattern, and the analyser grating G2 enables the resolution of the pattern with a conventional detector. b The phase grating is shifted laterally in seven discrete steps leading to a resulting stepping curve for each detector pixel. Performing two scans, one without the object (reference scan) and one with the object (sample scan), leads to two different stepping curves. The conventional attenuation image is represented by the relative mean values of the curve and the relative reduction of the amplitude (which represents the visibility of the system) is a measure for the dark-field signal. c A human hand fixed in formalin was measured in preclinical x-ray dark-field setup to evaluate the diagnostic value for foreign-body detection

Full size image

Technical parameters

The preclinical x-ray dark-field setup used a tungsten target x-ray tube (x-ray WorX SE 160, Garbsen, Germany), operating at 60 kVp and a power of 150 W. The detector was a Varian Paxscan 2520DX flatpanel detector with a CsI scintillator and a pixel size of 127 μm (Varian medical systems, Palo Alto, CA, USA). Due to cone-beam magnification, the effective pixel size was 110 μm. The interferometer was designed for a mean energy of 45 keV with grating periods of 10.0/5.0/10.0 μm for G0/G1/G2, respectively. The full field-of-view needed for the radiography of the hand was stitched together from 3 × 3 single images as the currently available size of the gratings is limited. The radiation exposure for the hand was 87.5 mAs distributed over seven grating steps for 5 s of exposure per step. The exposure time was varied between 1, 2, and 5 s. The incident air kerma at the position of the sample was measured with a PTW NOMEX dosimeter (PTW Freiburg GmbH, Germany). Considering all gratings and the setup geometry, a measured value of 0.22 mGy corresponds to an estimated image receptor dose of about 25 μGy for 1-s exposure time.

Foreign-body phantom

The phantom was specifically designed for testing the sensitivity and resolution of the method for very small particles. It consisted of an 18 mm thick polymethyl methacrylate (PMMA) plate and pairwise test objects of aluminium and wood with diameters of 0.5, 0.7, 0.9, and 1.1 mm fixed on the PMMA plate with tape (configuration 1, see Fig. 2), pairwise horizontally and vertically aligned relative to the grating orientation. The PMMA plate was chosen to mimic the attenuation characteristics of soft tissue.

Fig. 2
figure2

Phantom study for foreign-body detection with x-ray dark-field radiography. The test structures made of aluminium and wood were prepared onto a PMMA plate with 1.8 cm thickness for phantom configuration 1. The diameters of the structures were about 0.5, 0.7, 0.9, and 1.1 mm increasing from right to left. We aligned two splinters of each size perpendicularly to each other. In all images, the wooden test structures are on the top and the aluminium structures are on the bottom. The conventional attenuation is displayed on the upper row, the x-ray dark-field images on the lower row. a The radiographies at 5s exposure time per step. The same configuration has been imaged with 1s exposure time (b). c The phantom configuration 2 (i.e. with an additional aluminium plate) at 2s exposure time per step

Full size image

In the second step, the configuration of the above described phantom was extended by an aluminium-oxide plate of 1 cm (configuration 2), which mimics the attenuation of bone [20,21,22]. Images were acquired in both phantom configurations to verify the signal intensity in the intercarpal space as well as directly behind a bone.

Two images were acquired for configuration 1 with exposure times of 1 and 5 s per step. The exposure time for configuration 2 was 2 s per step.

Specimen preparation

The study was approved by the local institutional review board. The donor of the hand used in this study had given his body for educational and research purposes and provided written informed consent before death, in compliance with local institutional and legal requirements. The hand was fixed with formaldehyde solution before the experiments.

We inserted different typical wooden and metallic foreign objects in the human hand (Fig. 1c). For the measurement, the specimen was placed into a planar plastic container and the formalin level was reduced. The human hand was imaged with an exposure time of 5 s per step.

Visual foreign-body detection

All images were acquired using the above described preclinical setup with the same technical parameters. No specific post-processing has been applied. The stitched radiographic images were analysed by two trained radiologists (DM, AF), both of them with more than ten years of experience.

Signal-to-noise analysis

The signal-to-noise ratio (SNR) was calculated (NumPy package, Python 2.7) for all foreign-body objects in the specimen and the phantom for a region of interest \( \overline{\mathrm{s}} \) inside the object compared to the mean of a region of interest in the background \( \overline{\mathrm{b}} \) and the standard deviation of this background region σb according to the following formula:

$$ SNR=\frac{\left|\overline{\mathrm{s}}-\overline{\mathrm{b}}\right|}{\sigma_{\mathrm{b}}}. $$

An SNR value < 1 means that an object cannot be distinguished from the background. Thus, all values < 1 were set to zero.

Results

The test features will be referred to by numbers 1–4 with feature 1v/h the smallest (0.5 mm) vertical/horizontal feature and feature 4v/h the largest (1.1 mm) vertical/horizontal feature. The radiographic attenuation and dark-field images for different exposure times and two different phantom configurations are presented in Fig. 2.

Visual evaluation of dark-field radiography images of the phantom

In the attenuation-based image there was no difference in signal strength between visible vertical and horizontal particles. At 5s exposure time (Fig. 2a), all wooden and aluminium test objects could be detected on the flat background. For 1s exposure time (Fig. 2b), only the larger wooden particles 3 and 4 and all aluminium features except feature 2v were detectable. Behind the bone-like absorber (Fig. 2c), only the largest horizontal wood and aluminium particles 4 h were slightly visible.

In the dark-field image there was a clear difference between vertical and horizontal particles. At 5s exposure time, all vertical wooden objects were clearly detectable. The horizontal features 2 h, 3 h, 4 h were slightly visible. At 1s exposure time, still all vertical wooden particles and the largest horizontal wooden particle could be identified. Behind the bone-like absorber, all vertical wooden objects could be identified. On the dark-field images, none of the aluminium particles was detected.

Both radiologists provided the same results for the independent visual inspection for all particles.

SNR analysis in phantom measurements

Results of the SNR analysis for all test objects are displayed in Table 1, where SNR values have been calculated from the image data shown in Fig. 2.

Table 1 SNR values for all horizontal (h) and vertical (v) test objects in the phantom for the different phantom configurations 1 (without the additional bone-like absorber) and 2 (with the additional bone-like absorber) at different exposure times
Full size table

In the attenuation-based image obtained with 5s exposure time per step, the wooden particles showed SNR values in the range of 1.7–4.9. For the aluminium objects, the SNR was in the range of 1.9–8.4. At 1-s exposure time, the SNR was in the range of 0–2.2 for the wooden objects and 0–3.9 for the aluminium particles. With an additional bone-like absorber in the phantom, the SNR decreased to 0 for all wooden features. Only the larger aluminium particles showed an SNR value slightly > 1, in the range of 1.4–1.9.

In the dark-field modality, the horizontal and vertical features showed a different behaviour in accordance with the directional sensitivity of the interferometer. At 5s exposure time, the vertical wooden features showed SNR values in the range of 7.5–25.2, the horizontal ones in the range of 1.6–3.3. At 1s exposure time, the SNR values for the vertical wooden objects were in the range of 3.1–11.4; only the largest horizontal wood particle had an SNR > 1 with a value of 1.6. In all dark-field images, the aluminium particles presented with an SNR value < 1 and were therefore set to zero. Behind the bone-like absorber, the SNR values for the vertical wooden particles were in the range of 3.4–5.4 and for the horizontal particles the SNR was 0 as well as for all aluminium particles.

Direct comparison of the SNR values of wooden particles on dark-field radiography and conventional radiography showed an average SNR increase of a factor of 6 and an increase from no signal to an average SNR of 4.1 for the features behind the bone-like absorber.

Visual evaluation of the dark-field radiography of the human hand

In Fig. 3, the dark-field radiography image of a formalin-fixed human hand is presented, which reveals simultaneously the conventional attenuation (Fig. 3a) and the dark-field signal (Fig. 3b). The phalangeal and metacarpal bones of the right hand are imaged with an anteroposterior projection. The metallic test object was a small piece of a saw blade. It can clearly be identified in the conventional attenuation image lateral of the IV metacarpal bone. The wooden test objects cannot be identified on the attenuation-based image.

Fig. 3
figure3

Foreign-body detection with x-ray dark-field radiography of a human hand. x-ray dark-field imaging allows for the simultaneous acquisition of a conventional attenuation image (a) and a dark-field image (b) of a human hand fixed in formalin. The images (antero-posterior projection) show the metacarpal and phalangeal bones of the right hand. Two wooden particles and one metallic particle were inserted into the hand to mimic foreign bodies, as shown in the inlay on the upper right. The metallic foreign body is lodged in the soft tissue of the palmar hand in front of the diaphysis of the IV metacarpal bone while the two wooden foreign bodies are located in front of the V metacarpal bones and the intermetacarpal space IV/V, respectively. High atomic number materials like the metallic saw blade provide a strong signal in the attenuation channel as indicated by the black arrows in the magnified attenuation image. However, the x-ray attenuation contrast of dry wood is poor and therefore the wooden test objects are difficult to detect in the attenuation image. In contrast, the dark-field signal is sensitive to small angle scattering at structures at a micron range occurring in wood. Both wooden objects can clearly be detected in the dark-field image which are marked with white arrows in the magnified view of the dark-field image

Full size image

In the dark-field channel the smaller wooden test particle can be detected in the IV interdigital space. Right next to it there is the larger wooden particle, partially lying behind the V metacarpal bone. Both wooden particles cause a strong signal and can be identified as foreign bodies. The dark-field signal of the wood is still strong behind the bone.

Discussion

In this proof-of-principle study, we demonstrated, in a preclinical setting, the potential of x-ray dark-field radiography for an improved detection of wooden foreign bodies. We found that the dark-field signal for wooden particles is related to an even higher signal level than the corresponding signal of aluminium on conventional radiography. In dark-field radiography, the simultaneous image information of the attenuation and the small angle scattering allows for an improved assessment of foreign bodies.

The phantom study showed a high sensitivity of this method that allowed the visualisation of even very small structures in the size range of a few detector pixels, i.e. in the shown configuration, a few hundred microns. By mimicking the attenuation characteristics of bone and soft-tissue in the phantom with aluminium and PMMA, we evaluated the sensitivity of the dark-field signal in a realistic setting. As the dark-field contrast originates from small angle scattering of substructures at the micron range [18], it is less affected by the superimposition of an additional absorber in the direct beam path in contrast to the attenuation signal from, for example, metallic objects. Further, we emphasise that the different origin of the simultaneously acquired image signals guarantees their complementarity. Thus, this technique has the potential to characterise the quality of the retained bodies in a single x-ray exposure, which is likely to simplify the removal procedure of the foreign body and the planning of an optimal management [23, 24].

The strong directional dependency of the dark-field signal allows for a precise localisation of the objects even in projection. This helps for the preparation of surgical removal as well as the evaluation of the risk for relating anatomic structures as can be seen with the exemplary dark-field radiography of the human hand.

Current research in the field of biomedical x-ray dark-field imaging shows many promising applications of the technique, although still in a preclinical phase [25,26,27,28,29].

For the presented case of foreign-body detection, the isolated distal position of hands and feet reduces the requirements for a dark-field scanner in terms of x-ray energy, grating specifications and exposure time. The bones of the hand and fingers are also visible in the dark-field images. In our study, with a normal anatomical structure of the bones, we did not obtain any additional information from dark-field images. Thüring et al. [30] presented an overview on the presentation of the bony structure of the hand in dark-field imaging. Further information on the anatomical structure of the bones can be assessed with grating-based x-ray vector radiography [31].

As the presented setup is in a preclinical stage and not optimised for clinical application, we focused on demonstrating a proof-of-principle application of x-ray dark-field radiography for foreign-body detection. In particular, the limited field of view and the comparably low photon flux at the microfocus tube, coming with a high acquisition time in our stitching approach, leave room for improvements. Optimisation of the x-ray spectrum and the acquisition approach as well as an increased field of view will be the next steps to reduce the x-ray dose and the measurement time for clinical applications.

Of note, no dedicated post-processing has been applied and the shown images are, besides the stitching, raw images. Compared to the applicable guidelines for radiography of the hand, the image receptor dose exceeds the suggested value by a factor of 2.5 for 1-s exposure time per step [32]. A larger pixel size and the use of a state-of-the-art clinical radiography detector would allow for a significant dose reduction. As the used setup was only available with the described components, we designed the phantom to demonstrate the strong dark-field signal of wood in direct comparison to the attenuation signal of aluminium. At a photon-statistics where the smallest aluminium particle in the conventional image disappears on the background noise, a wooden splinter of the same size is still clearly visible on the dark-field image.

Together with the ongoing progress in technical improvement of the x-ray dark-field method and its adaptation for clinical applications we think that these results obtained using an experimental x-ray dark-field scanner radiography setup, illustrate the clinical potential of the method for emergency wound care due to improved and complementary foreign-body detection. Considering the high frequency and the minor emergency character of foreign-body detection in human hands and feet, the method can close a gap between insufficient visual inspections and elaborate three-dimensional imaging methods like computed tomography and magnetic resonance imaging.

In conclusion, we demonstrated the high potential of dark-field radiography for the detection of wooden foreign bodies in a phantom and a human hand specimen. Thus, we assume that this method will have the potential to simplify the diagnostic workflow and to increase the success of foreign-body detection.

Abbreviations

PMMA:

Polymethyl methacrylate

SNR:

Signal-to-noise ratio

References

  1. 1.

    Ebrahimi A, Radmanesh M, Rabiei S et al (2013) Surgical removal of neglected soft tissue foreign bodies by needle-guided technique. Iran J Otorhinolaryngol 25:29–36

    PubMed  PubMed Central  Google Scholar 

  2. 2.

    Davis J, Czerniski B, Au A et al (2015) Diagnostic accuracy of ultrasonography in retained soft tissue foreign bodies: A systematic review and meta-analysis. Acad Emerg Med 22:777–787

    Article  PubMed  Google Scholar 

  3. 3.

    Turkcuer I, Atilla R, Topacoglu H et al (2006) Do we really need plain and soft-tissue radiographies to detect radiolucent foreign bodies in the ED? Am J Emerg Med 24:763–768

    Article  PubMed  Google Scholar 

  4. 4.

    Levine MR, Gorman SM, Young CF et al (2008) Clinical characteristics and management of wound foreign bodies in the ED. Am J Emerg Med 26:918–922

    Article  PubMed  Google Scholar 

  5. 5.

    Lewis D, Jivraj A, Atkinson P et al (2015) My patient is injured: identifying foreign bodies with ultrasound. Ultrasound 23:174–180

    Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Becton JL, Christian JDJ (1977) Foreign bodies in the hand. South Med J 70:147–149

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Anderson MA, Newmeyer WL, Kilgore ES (1982) Diagnosis and treatment of retained foreign bodies in the hand. Am J Surg 144:63–67

    CAS  Article  PubMed  Google Scholar 

  8. 8.

    Bray PW, Mahoney JL, Campbell JP (1995) Sensitivity and specificity of ultrasound in the diagnosis of foreign bodies in the hand. J hand Surg Am 20:661–666

  9. 9.

    Dunn IF, Kim DH, Rubin PA et al (2009) Orbitocranial wooden foreign body: a pre-, intra-, and postoperative chronicle: case report. Neurosurgery 65:E383–E384

    Article  PubMed  Google Scholar 

  10. 10.

    Jusué-Torres I, Burks SS, Levine CG et al (2016) Wooden foreign body in the skull base: how did we miss it? World Neurosurg 92:580.e5–9

    Article  Google Scholar 

  11. 11.

    Schlager D, Sanders AB, Wiggins D et al (1991) Ultrasound for the detection of foreign bodies. Ann Emerg Med 20:189–191

    CAS  Article  PubMed  Google Scholar 

  12. 12.

    Kudo S, Takei T (2016) Computed tomography settings for optimal detection of wooden foreign bodies. Am J Emerg Med 34:2237–2238

    Article  PubMed  Google Scholar 

  13. 13.

    Gilbert FJ, Campbell RS, Bayliss AP (1990) The role of ultrasound in the detection of non-radiopaque foreign bodies. Clin Radiol 41:109–112

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Momose A (2005) Recent advances in x-ray phase imaging. Jpn J Appl Phys 44:6355–6367

    CAS  Article  Google Scholar 

  15. 15.

    Pfeiffer F, Weitkamp T, Bunk O et al (2006) Phase retrieval and differential phase-contrast imaging with low-brilliance x-ray sources. Nat Phys 2:258–261

    CAS  Article  Google Scholar 

  16. 16.

    Yashiro W, Terui Y, Kawabata K et al (2010) On the origin of visibility contrast in x-ray Talbot interferometry. Opt Express 18:16890–16901

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Weitkamp T, Diaz A, David C et al (2005) x-ray phase imaging with a grating interferometer. Opt Express 13:6296–6304

    Article  PubMed  Google Scholar 

  18. 18.

    Pfeiffer F, Bech M, Bunk O et al (2009) x-ray dark-field and phase-contrast imaging using a grating interferometer. J Appl Phys 105:102006

    Article  Google Scholar 

  19. 19.

    Diemoz PC, Endrizzi M, Zapata CE et al (2013) x-ray phase-contrast imaging with nanoradian angular resolution. Phys Rev Lett 110:1–5

    Article  Google Scholar 

  20. 20.

    Lehmann LA, Alvarez RE, Macovski A et al (1981) Generalized image combinations in dual kVp digital radiography. Med Phys 8:659–667

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Alvarez RE (2011) Estimator for photon counting energy selective x-ray imaging with multibin pulse height analysis. Med Phys 38:2324–2334

    Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Ehn S, Sellerer T, Mechlem K et al (2017) Basis material decomposition in spectral CT using a semi-empirical, polychromatic adaption of the Beer–Lambert model. Phys Med Biol 62:N1–N17

    CAS  Article  PubMed  Google Scholar 

  23. 23.

    Lammers R (1988) Soft tissue foreign bodies. Ann Emerg Med 17:1336–1347

    CAS  Article  PubMed  Google Scholar 

  24. 24.

    Halaas GW (2007) Management of foreign bodies in the skin. Am Fam Physician 76:683–688

    PubMed  Google Scholar 

  25. 25.

    Auweter SD, Herzen J, Willner M et al (2014) x-ray phase-contrast imaging of the breast - Advances towards clinical implementation. Br J Radiol 87:20130606

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Scherer K, Braig E, Willer K et al (2015) Non-invasive differentiation of kidney stone types using x-ray dark-field radiography. Sci Rep 5:9527

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Scherer K, Willer K, Gromann L et al (2015) Toward clinically compatible phase-contrast mammography. PLoS One 10:e0130776

    Article  PubMed  PubMed Central  Google Scholar 

  28. 28.

    Velroyen A, Bech M, Tapfer A et al (2015) Ex vivo perfusion-simulation measurements of microbubbles as a scattering contrast agent for grating-based x-ray dark-field imaging. PLoS One 10:e0129512

    Article  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Velroyen A, Yaroshenko A, Hahn D et al (2015) Grating-based x-ray dark-field computed tomography of living mice. EBioMedicine 2:1500–1506

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Thüring T, Guggenberger R, Alkadhi H et al (2013) Human hand radiography using x-ray differential phase contrast combined with dark-field imaging. Skeletal Radiol 42:827–835

    Article  PubMed  Google Scholar 

  31. 31.

    Jud C, Braig E, Dierolf M et al (2017) Trabecular bone anisotropy imaging with a compact laser-undulator synchrotron x-ray source. Sci Rep 7:14477

    Article  PubMed  PubMed Central  Google Scholar 

  32. 32.

    Der BV (2007) Leitlinie der Bundesärztekammer zur Qualitätssicherung in der Röntgendiagnostik. http://www.bundesaerztekammer.de/aerzte/qualitaetssicherung/richtlinien-leitlinien-empfehlungen-stellungnahmen/richtlinien-leitlinien-empfehlungen-zur-qualitaetssicherung/bildgebende-verfahren/roentgendiagnostik/. Accessed 22 Nov 2017

Download references

Acknowledgements

We acknowledge financial support through the European Research Council (ERC, H2020, AdG 695045), the DFG Gottfried Wilhelm Leibniz program and the support of the TUM Institute for Advanced Study, funded by the German Excellence Initiative. This work was carried out with the support of the Karlsruhe Nano Micro Facility (KNMF, www.kit.edu/knmf), a Helmholtz Research Infrastructure at Karlsruhe Institute of Technology (KIT).

Author information

Affiliations

  1. Chair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, James-Franck-Str. 1, 85748, Garching, Germany
    • Eva-Maria Braig
    • , Lorenz Birnbacher
    • , Florian Schaff
    • , Lukas Gromann
    • , Julia Herzen
    • , Peter Noël
    •  & Franz Pfeiffer
  2. Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Straße 22, 81675, München, Germany
    • Eva-Maria Braig
    • , Alexander Fingerle
    • , Ernst Rummeny
    • , Peter Noël
    • , Franz Pfeiffer
    •  & Daniela Muenzel
  3. Institute for Advanced Study, Technical University of Munich, 85748, Garching, Germany
    • Franz Pfeiffer
Authors
  1. Eva-Maria Braig
    View author publications
    You can also search for this author in
  2. Lorenz Birnbacher
    View author publications
    You can also search for this author in
  3. Florian Schaff
    View author publications
    You can also search for this author in
  4. Lukas Gromann
    View author publications
    You can also search for this author in
  5. Alexander Fingerle
    View author publications
    You can also search for this author in
  6. Julia Herzen
    View author publications
    You can also search for this author in
  7. Ernst Rummeny
    View author publications
    You can also search for this author in
  8. Peter Noël
    View author publications
    You can also search for this author in
  9. Franz Pfeiffer
    View author publications
    You can also search for this author in
  10. Daniela Muenzel
    View author publications
    You can also search for this author in

Contributions

EB: realization of the experiments, data analysis and interpretation, manuscript preparation. LB: realization of the experiments, manuscript revision. FS: realization of the experiments. LG: realization of the experiments. AF: data analysis, manuscript revision. JH: manuscript revision. ER: study concepts and design, manuscript approval. PN: study concepts and design, manuscript revision. FP: study concepts and design, manuscript revision. DM: study concepts and design, data analysis and interpretation, manuscript preparation. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Eva-Maria Braig.

Ethics declarations

Availability of data and materials

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The study was approved by the local institutional review board. The donor of the hand used in this study had given his body for educational and research purposes and provided written informed consent before death, in compliance with local institutional and legal requirements.

Funding

No specific funding was received for this article.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Braig, E., Birnbacher, L., Schaff, F. et al. Simultaneous wood and metal particle detection on dark-field radiography. Eur Radiol Exp 2, 1 (2018). https://doi.org/10.1186/s41747-017-0034-1

Download citation

Keywords

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