Strauch, Hannah; Schuil, Isabel; Grubert, Jens; Meißner, Karin (2025)
The Mind - Bulletin on Mind-Body Medicine Research 2025 (9), 12-16.
Lützelberger, Jan; Roitzsch, Clemens (2025)
Talk, UltrasounDD, Dresden, 2025.
Lützelberger, Jan; Drese, Klaus Stefan (2025)
Proceedings, 2025 ICU - 9th International Congress on Ultrasonics, Paderborn, 2025, 294-297.
DOI: 10.5162/Ultrasonic2025/P1.2
New quantitative data processing methods could enable ultrasound as a potential diagnostic method for hip implant integration monitoring. For development of such methods, suitable acoustic simulation tools are essential. In this work, a novel 1D FDTD simulation tool for multilayer structures, considering frequency-dependent properties, is introduced, particularly meeting the special needs of this application. Simulation results show excellent agreement with experimental data, confirming accurate prediction of wave propagation in multilayer systems.
Lützelberger, Jan (2025)
Talk, 2025 IEEE International Ultrasonics Symposium (IUS), Utrecht, 2025.
Background, Motivation and Objective
Hip joint prostheses (HJP) are increasingly common with an aging population. The most frequent complication is aseptic loosening, linked to bone resorption and a growing soft tissue gap between bone and implant. However, integration monitoring and loosening diagnosis still rely on expensive, static X-ray imaging. Ultrasound, despite cheaper, dynamic, and radiation-free, is not yet viable due to its limits in resolving tissue beyond the bone.
This work presents how a novel quantitative ultrasound (QUS) data processing approach could improve HJP monitoring by quantitatively assessing osteointegration. While the basic concept was already tested on artificial models, we now show first clinical results for ultrasonic thickness measurements of the bone-implant gap at hip implant patients compared to X-ray imaging.
Statement of Contribution/Methods
Our approach is based on an analysis of raw (RF) beamformed ultrasonic data. A scan line perpendicular to the bone surface is extracted and a certain signal range following the dominant bone reflection is transformed to the frequency domain using a Fast Fourier Transform (FFT) (a). The gap thickness, indicating local osteointegration quality and potential loosening signs, is then determined by evaluating the frequency spacing of minima in the amplitude spectrum.
To demonstrate the potential of our QUS method, we analyzed ultrasonic scans from six HJP patients at one fixed position each (sagittal and transversal) using a handheld scanner (C3 HD3, Clarius, Canada) and compared the measured gap thicknesses with x-ray images.
Results/Discussion
(b) shows the gap thicknesses determined using our QUS method in comparison with the visual assessment of corresponding X-ray images. Despite the small sample size and some simplifying assumptions used for this first feasibility test, the clear trend highlights the approach’s potential for assessing local implant integration. The cases where no gap could be seen in the x-ray image illustrate its potential for gap detection beyond X-ray resolution limits.
Besides gap thickness, our QUS approach could also reveal elasticity changes in the soft-tissue gap, potentially indicating critical biofilm formation. Further steps also include extending our method to an automated thickness detection during dynamic scanning and integrating results into B-mode images, e. g., using color coding.
Hiller, Annika; Iser, Lilli; Schulz, Juliane; Antwerpen, Cornelia (2025)
DGMP/DGMS Kongress, Jena, Germany. .
Strauch, Hannah; Schuil, Isabel; Simm, Stefan; Grubert, Jens; Kalamkar, Snehanjali (2025)
DGMP/DGMS Kongress, Jena, Germany.
Schuil, Isabel; Kalamkar, Snehanjali; Simm, Stefan; Grubert, Jens; Streuber, Stephan (2025)
Schuil, Isabel; Kalamkar, Snehanjali; Simm, Stefan; Grubert, Jens...
DGMP/DGMS Kongress, Jena, Germany.
Wiltzsch, Vivien; Schmidt, Johannes; Adamowicz, Klaudia; Lauterbach, Theresa; Lehmann, Jörg; Baumbach, Jan; Laske, Tanja; Kalkhof, Stefan (2025)
Wiltzsch, Vivien; Schmidt, Johannes; Adamowicz, Klaudia; Lauterbach, Theresa...
Journal of Proteome Research 24 (9), 4362–4376.
DOI: 10.1021/acs.jproteome.4c01060
Burankova, Yuliya; Abele, Miriam; Bakhtiari, Mohammad; von Toerne, Christine; Barth, Teresa; Schweizer, Lisa; Giesbertz, Pieter; Schmidt, Johannes; Kalkhof, Stefan; Müller-Deile, Janina; van Veelen, Peter; Mohammed, Yassene; Hammer, Elke; Arend, Lis; Adamowicz, Klaudia; Laske, Tanja; Hartebrodt, Anne; Frisch, Tobias; Meng, Chen; Matschinske, Julian; Späth, Julian; Röttger, Richard; Schwämmle, Veit; Hauck, Stefanie; Lichtenthaler, Stefan; Imhof, Axel; Mann, Matthias; Ludwig, Christina; Kuster, Bernhard; Baumbach, Jan; Zolotareva, Olga (2025)
Burankova, Yuliya; Abele, Miriam; Bakhtiari, Mohammad; von Toerne, Christine...
Nature Computational Science 5 (8), 675–688.
DOI: 10.1038/s43588-025-00832-7
Lützelberger, Jan (2025)
Vortrag, Interdisziplinäres Wissenschaftliches Kolloquium an der Hochschule Coburg, Coburg, 2025.
Lützelberger, Jan (2025)
Vortrag, 4. Technologietag Angewandte Sensorik (TAS) des Instituts für Sensor- und Aktortechnik der Hochschule Coburg, Coburg, 2025.
Rais, Cherif Mohamed; Kühnlenz, Barbara; Kühnlenz, Kolja Ernst (2024)
at - Automatisierungstechnik 72 (12), 1160-1168.
Rais, Cherif Mohamed; Kühnlenz, Barbara; Kühnlenz, Kolja Ernst (2024)
21st International Conference on Informatics in Control, Automation and Robotics (ICINCO).
Strauch, Hannah; Schuil, Isabel; Simm, Stefan; Kraft, Mirko; Meißner, Karin (2024)
Mind-Bull. Mind-Body Med. Res 3, 12-13.
Schuil, Isabel; Kalamkar, Snehanjali; Grubert, Jens; Streuber, Stephan; Meißner, Karin (2024)
Schuil, Isabel; Kalamkar, Snehanjali; Grubert, Jens; Streuber, Stephan...
Mind-Bull. Mind-Body Med. Res 3, 16-17.
Meißner, Karin (2024)
2024 Taiwan-German Joint Symposium on TCM health promotion, University & China Medical University Hospital, Taichung, Taiwan.
Hochschule Coburg
Friedrich-Streib-Str. 2
96450 Coburg