Florian Bayer
University of Erlangen-Nuremberg
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Featured researches published by Florian Bayer.
Physics in Medicine and Biology | 2013
Thilo Michel; Jens Rieger; G. Anton; Florian Bayer; Matthias W. Beckmann; Jürgen Durst; Peter A. Fasching; Wilhelm Haas; Arndt Hartmann; Georg Pelzer; Marcus Radicke; Claudia Rauh; André Ritter; Peter Sievers; Rüdiger Schulz-Wendtland; Michael Uder; David L. Wachter; Thomas Weber; Evelyn Wenkel; Andrea Zang
We show that a distribution of micrometer-sized calcifications in the human breast which are not visible in clinical x-ray mammography at diagnostic dose levels can produce a significant dark-field signal in a grating-based x-ray phase-contrast imaging setup with a tungsten anode x-ray tube operated at 40 kVp. A breast specimen with invasive ductal carcinoma was investigated immediately after surgery by Talbot-Lau x-ray interferometry with a design energy of 25 keV. The sample contained two tumors which were visible in ultrasound and contrast-agent enhanced MRI but invisible in clinical x-ray mammography, in specimen radiography and in the attenuation images obtained with the Talbot-Lau interferometer. One of the tumors produced significant dark-field contrast with an exposure of 0.85 mGy air-kerma. Staining of histological slices revealed sparsely distributed grains of calcium phosphate with sizes varying between 1 and 40 μm in the region of this tumor. By combining the histological investigations with an x-ray wave-field simulation we demonstrate that a corresponding distribution of grains of calcium phosphate in the form of hydroxylapatite has the ability to produce a dark-field signal which would-to a substantial degree-explain the measured dark-field image. Thus we have found the appearance of new information (compared to attenuation and differential phase images) in the dark-field image. The second tumor in the same sample did not contain a significant fraction of these very fine calcification grains and was invisible in the dark-field image. We conclude that some tumors which are invisible in x-ray absorption mammography might be detected in the x-ray dark-field image at tolerable dose levels.
Medical Physics | 2011
Thomas Weber; Peter Bartl; Florian Bayer; Jürgen Durst; Wilhelm Haas; Thilo Michel; André Ritter; G. Anton
PURPOSE Grating-based x-ray phase-contrast imaging is a fast developing new modality not only for medical imaging, but as well for other fields such as material sciences. While these many possible applications arise, the knowledge of the noise behavior is essential. METHODS In this work, the authors used a least squares fitting algorithm to calculate the noise behavior of the three quantities absorption, differential phase, and dark-field image. Further, the calculated error formula of the differential phase image was verified by measurements. Therefore, a Talbot interferometer was setup, using a microfocus x-ray tube as source and a Timepix detector for photon counting. Additionally, simulations regarding this topic were performed. RESULTS It turned out that the variance of the reconstructed phase is only dependent of the total number of photons used to generate the phase image and the visibility of the experimental setup. These results could be evaluated in measurements as well as in simulations. Furthermore, the correlation between absorption and dark-field image was calculated. CONCLUSIONS These results provide the understanding of the noise characteristics of grating-based phase-contrast imaging and will help to improve image quality.
Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 2012
Kazuyoshi Carvalho Akiba; M. Artuso; Ryan Badman; A. Borgia; Richard Bates; Florian Bayer; Martin van Beuzekom; J. Buytaert; Enric Cabruja; M. Campbell; P. Collins; Michael Crossley; R. Dumps; L. Eklund; D. Esperante; C. Fleta; A. Gallas; M. Gandelman; J. Garofoli; M. Gersabeck; V. V. Gligorov; H. Gordon; E.H.M. Heijne; V. Heijne; D. Hynds; M. John; A. Leflat; Lourdes Ferre Llin; X. Llopart; M. Lozano
A prototype particle tracking telescope was constructed using Timepix and Medipix ASIC hybrid pixel assemblies as the six sensing planes. Each telescope plane consisted of one 1.4 cm2 assembly, providing a 256 ×256 array of 55μm square pixels. The telescope achieved a pointing resolution of 2.4μm at the position of the device under test. During a beam test in 2009 the telescope was used to evaluate in detail the performance of two Timepix hybrid pixel assemblies; a standard planar 300μm thick sensor, and 285μm thick double sided 3D sensor. This paper describes a charge calibration study of the pixel devices, which allows the true charge to be extracted, and reports on measurements of the charge collection characteristics and Landau distributions. The planar sensor achieved a best resolution of 4.0±0.1μm for angled tracks, and resolutions of between 4.4 and 11μm for perpendicular tracks, depending on the applied bias voltage. The double sided 3D sensor, which has significantly less charge sharing, was found to have an optimal resolution of 9.0±0.1μm for angled tracks, and a resolution of 16.0±0.2μm for perpendicular tracks. Based on these studies it is concluded that the Timepix ASIC shows an excellent performance when used as a device for charged particle tracking.
Zeitschrift Fur Medizinische Physik | 2013
G. Anton; Florian Bayer; Matthias W. Beckmann; Jürgen Durst; Peter A. Fasching; Wilhelm Haas; Arndt Hartmann; Thilo Michel; Georg Pelzer; Marcus Radicke; Claudia Rauh; Jens Rieger; André Ritter; Rüdiger Schulz-Wendtland; Michael Uder; David L. Wachter; Thomas Weber; Evelyn Wenkel; Lukas Wucherer
Mastectomy specimens were investigated using a Talbot-Lau X-ray imaging set-up. Significant structures in the darkfield were observed, which revealed considerably higher contrast than those observed in digital mammography. Comparison with the histomorphometric image proofs that the darkfield signal correlates with a tumor region containing small calcification grains of 3 to 30μm size.
Optics Express | 2013
Florian Bayer; Simon Zabler; Christian Brendel; Georg Pelzer; Jens Rieger; André Ritter; Thomas Weber; Thilo Michel; G. Anton
Over the recent years X-ray differential phase-contrast imaging was developed for the hard X-ray regime as produced from laboratory X-ray sources. The technique uses a grating-based Talbot-Lau interferometer and was shown to yield image contrast gain, which makes it very interesting to the fields of medical imaging and non-destructive testing, respectively. In addition to X-ray attenuation contrast, the differential phase-contrast and dark-field images provide different structural information about a specimen. For the dark-field even at length scales much smaller than the spatial resolution of the imaging system. Physical interpretation of the dark-field information as present in radiographic and tomographic (CT) images requires a detailed look onto the geometric orientation between specimen and the setup. During phase-stepping the drop in intensity modulation, due to local scattering effects within the specimen is reproduced in the dark-field signal. This signal shows strong dependencies on micro-porosity and micro-fibers if these are numerous enough in the object. Since a grating-interferometer using a common unidirectional line grating is sensitive to X-ray scattering in one plane only, the dark-field image is influenced by the fiber orientations with respect to the grating bars, which can be exploited to obtain anisotropic structural information. With this contribution, we attempt to extend existing models for 2D projections to 3D data by analyzing dark-field contrast tomography of anisotropically structured materials such as carbon fiber reinforced carbon (CFRC).
Proceedings of the National Academy of Sciences of the United States of America | 2014
Florian Bayer; Shiyang Hu; Andreas K. Maier; Thomas C. Weber; G. Anton; Thilo Michel; Christian Riess
Significance X-ray Talbot−Lau grating interferometry provides a differential phase contrast and a dark-field image containing scattering information. The dark-field image is sensitive to granular and fibrous microstructures with sizes in the range of the grating periods (circa 5 μm), much below the typical resolution of medical imaging techniques like angiography or fluoroscopy (circa 150 μm). Dark-field contrast is influenced by the orientation of the microstructure in the object. We present an approach to recover the local microstructure orientation in a tomographic 3D reconstruction. Per voxel, we quantitatively reconstruct the vector of the dominant local orientation and the amount of (an)isotropic scattering for relatively large samples using a standard medical X-ray setup. This is experimentally shown for various specimens exhibiting varying degrees of structural orderings. Grating-based X-ray dark-field imaging is a novel technique for obtaining image contrast for object structures at size scales below setup resolution. Such an approach appears particularly beneficial for medical imaging and nondestructive testing. It has already been shown that the dark-field signal depends on the direction of observation. However, up to now, algorithms for fully recovering the orientation dependence in a tomographic volume are still unexplored. In this publication, we propose a reconstruction method for grating-based X-ray dark-field tomography, which models the orientation-dependent signal as an additional observable from a standard tomographic scan. In detail, we extend the tomographic volume to a tensorial set of voxel data, containing the local orientation and contributions to dark-field scattering. In our experiments, we present the first results of several test specimens exhibiting a heterogeneous composition in microstructure, which demonstrates the diagnostic potential of the method.
Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 2011
P. Collins; K. Akiba; M. Alexander; M. Artuso; Florian Bayer; M. van Beuzekom; S. Blusk; T. J. V. Bowcock; J. Buytaert; M. Campbell; V. Coco; M. Crossley; R. Dumps; L. Eklund; D. Esperante; L. Ferre Llin; A. Gallas; M. Gandelman; M. Gersabeck; V. V. Gligorov; T. Huse; M. John; M. Kucharczyk; X. Llopart; D. Maneuski; Thilo Michel; R. Mountain; M. Nichols; A. Papadelis; C. Parkes
Abstract The LHCb experiment plans to have a fully upgraded detector and data acquisition system in order to take data with instantaneous luminosities up to 5 times greater than currently. For this reason the first tracking and vertexing detector, the VELO, will be completely redesigned to be able to cope with the much larger occupancies and data acquisition rates. Two main design alternatives, micro-strips or pixel detectors, are under consideration to build the upgraded detector. This paper describes the options presently under consideration, as well as a few highlights of the main aspects of the current R&D. Preliminary results using a pixel telescope are also presented.
Optics Express | 2014
André Ritter; Peter Bartl; Florian Bayer; Karl C. Gödel; Wilhelm Haas; Thilo Michel; Georg Pelzer; Jens Rieger; Thomas Weber; Andrea Zang; Gisela Anton
A simulation framework for coherent X-ray imaging, based on scalar diffraction theory, is presented. It contains a core C++ library and an additional Python interface. A workflow is presented to include contributions of inelastic scattering obtained with Monte-Carlo methods. X-ray Talbot-Lau interferometry is the primary focus of the framework. Simulations are in agreement with measurements obtained with such an interferometer. Especially, the dark-field signal of densely packed PMMA microspheres is predicted. A realistic modeling of the microsphere distribution, which is necessary for correct results, is presented. The framework can be used for both setup design and optimization but also to test and improve reconstruction methods.
Optics Express | 2013
Georg Pelzer; Thomas Weber; G. Anton; Rafael Ballabriga; Florian Bayer; M. Campbell; Thomas Gabor; Wilhelm Haas; Florian Horn; X. Llopart; Norbert Michel; Uwe Mollenbauer; Jens Rieger; André Ritter; Ina Ritter; Peter Sievers; Stefan Wölfel; Winnie Wong; Andrea Zang; Thilo Michel
We have carried out grating-based x-ray differential phase-contrast measurements with a hybrid pixel detector in 16 energy channels simultaneously. A method for combining the energy resolved phase-contrast images based on energy weighting is presented. An improvement in contrast-to-noise ratio by 58.2% with respect to an emulated integrating detector could be observed in the final image. The same image quality could thus be achieved with this detector and with energy weighting at 60.0% reduced dose compared to an integrating detector. The benefit of the method depends on the object, spectrum, interferometer design and the detector efficiency.
Proceedings of SPIE | 2011
Wilhelm Haas; Martin Bech; Peter Bartl; Florian Bayer; André Ritter; Thomas Weber; Georg Pelzer; Marian Willner; Klaus Achterhold; Jürgen Durst; Thilo Michel; Marcus Prümmer; Franz Pfeiffer; G. Anton; Joachim Hornegger
Phase-contrast imaging approaches suffer from a severe problem which is known in Magnetic Resonance Imaging (MRI) and Synthetic Aperture Radar (SAR) as phase-wrapping. This work focuses on an unwrapping solution for the grating based phase-contrast interferometer with X-rays. The approach delivers three types of information about the x-rayed object - the absorption, differential phase-contrast and dark-field information whereas the observed differential phase values are physically limited to the interval (-π, π]; values higher or lower than the interval borders are mapped (wrapped) back into it. In contrast to existing phase-unwrapping algorithms for MRI and SAR the presented algorithm uses the absorption image as additional information to identify and correct phase-wrapped values. The idea of the unwrapping algorithm is based on the observation that at locations with phase-wrapped values the contrast in the absorption image is high and the behavior of the gradient is similar to the real (unwrapped) phase values. This can be expressed as a cost function which has to be minimized by an integer optimizer. Applied on simulated and real datasets showed that 95.6% of phase-wraps were correctly unwrapped. Based on the results we conclude that it is possible to use the absorption information in order to identify and correct phase-wrapped values.