Osteoarthritis (OA) is a common and chronic joint disease. Worldwide it affects more than 10% of the people aged 60 years and older, being a major source of pain, disability, and socioeconomic cost. OA generally starts with cartilage damage, and it also involves other joint tissues, such as subchondral bone, ligaments and menisci, and the progression differs per patient. All of this presents clinicians with important challenges. Therefore, a new imaging method is needed that allows early diagnosis and reliable monitoring of OA, which is crucial to enable timely and effective interventions, help achieving better disease control, and postpone the most invasive interventions such as total joint arthroplasty.
Spectroscopic photoacoustic imaging (sPA) can reveal damage-related tissue degradation based on PA spectral contrast in the joint. In this project, the potential of sPA imaging to characterize various tissue damage related to OA progression will be explored. An advanced data processing tool will be created and validated on human joint tissue samples. To move towards clinical translation, a realistic PA simulation framework for OA imaging (digital twin of the joint tissues) will be developed, the feasibility and requirements of an in vivo sPA imaging system will be investigated and a prototype for non-invasive OA imaging will be developed. It will accelerate the clinical translation of the PA technique and potentially improve the management of OA in the future.
The candidate will work on the development of a novel photoacoustic imaging system for joint imaging, performing PA&US measurements on human joint samples ((N = 50 - 100) using the new PA system, developing advanced algorithms to characterize various joint tissues properties based on sPA/US contrast (such as PA spectra unmixing and deep learning methods), and to relate these tissue properties (changes) to the OA progression. All the developed methods will be eventually tested in a clinical relevant settings.
The position will be based at the Photoacoustics & Ultrasound Lab Eindhoven (PULS/e) in the Department of Biomedical Engineering under the supervision of dr.ir. M. Wu, dr.ir. R.G.P. Lopata (head of PULS/e group) and dr. C.C. van Donkelaar (associate professor in Orthopaedic Biomechanics group). The PULS/e group consists of a multi-disciplinary and international team of researchers that work on novel imaging US techniques, photoacoustics, image reconstruction, functional imaging, and model-based image analysis. Within this project you will be closely collaborating with Maxima medical center and Fujifilm Visualsonics.
Next to the research described above, you will supervise MSc / BSc students that will work on projects within the scope of your own.
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Richard Lopata, Associate Professor, r.lopata[at]tue.nl
or +31 40 247 4878.
Visit our website for more information about the application process or the conditions of employment. You can also contact Sascha Sanchez – Van Oort, HR Manager, s.j.m.g.sanchez.van.oort[at]tue.nl or +31 40 247 7310.
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We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.