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Copyright: © Private

Person

Prof. Dr.-Ing.

Volkmar Schulz

Chair of Experimental Physics III B

Molecular Imaging

Address

Building: CBMS

Room: 105

Forckenbeckstrasse 55

52074 Aachen

Contact

WorkPhone

Phone: +49 241 80 85158

Email: schulz@pmi.rwth-aachen.de

Website

Volkmar Schulz obtained his Dipl.-Ing. degree in the field of Information Technology and his Dr.-Ing. degree in the area of electrodynamics and integrated optics from the University of Paderborn. He started his industry career in 2000 at Philips Research Laboratories in Hamburg, Germany, in MR hardware, and in 2005 moved to the PET physics group at Philips Research in Aachen, Germany, where he focused on integrated PET-MRI systems. Since 2009 he is a group leader and senior lecturer at the institute of “Experimental Molecular Imaging Systems” at the RWTH Aachen University focussing on physics and instrumentation of molecular imaging systems. In 2011, Volkmar was appointed Principal Scientist at Philips Research. Since the beginning of 2013, he has been a full professor and heads the department of "Physics in Molecular Imaging Systems" (PMI) at RWTH.

His department aims exploring the physical limits of medical imaging technologies with a strong focus on instrumentation and machine learning. This includes the combination of existing modalities like Magnetic Resonance Imaging (MRI, Positron Emission Tomography (PET) and other novel imaging modalities like Magnetic Particle Imaging (MPI). The research areas are ranging from novel sensor concepts, new detector geometries, crystal identification algorithms, new image reconstruction and dedicated MRI sequences for MR-based attenuation correction techniques and machine learning methods for automatic Computer Decision Support (CDS) systems. In 2015, the department built the world’s first fully digital preclinical PET-MRI systems for imaging of mice using the digital SiPM from Philips Digital Photon Counting.

Copyright: © Vanessa Nadig My fantastic ExMI-PMI team (02.09.2021)

Representative Publications:

1. Han, T., Nebelung, S., Pedersoli, F., Zimmermann, M., Schulze-Hagen, M., Ho, M., Haarburger, C., Kiessling, F., Kuhl, C., Schulz, V. and Truhn, D., 2021. Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normal. Nat Com, 4315 (2021).
2. Han, T., Nebelung, S., Haarburger, C., Horst, N., Reinartz, S., Merhof, D., Kiessling, F., Schulz , V. and Truhn, D., 2020. Breaking medical data sharing boundaries by using synthesized radio­graphs. Science advances, 6(49), p.eabb7973.
3. Nolte, T., Gross‐Weege, N., Doneva, M., Koken, P., Elevelt, A., Truhn, D., Kuhl, C. and Schulz, V., 2020. Spiral blurring correction with water–fat separation for magnetic resonance fingerprinting in the breast. Magnetic resonance in medicine, 83(4), pp.1192-1207.
4. Müller, F., Schug, D., Hallen, P., Grahe, J. and Schulz, V., 2018. A novel DOI positioning algorithm for monolithic scintillator crystals in PET based on gradient tree boosting. IEEE Transactions on Radiation and Plasma Medical Sciences, 3(4), pp.465-474.
5. Schaart, D.R., Charbon, E., Frach, T. and Schulz, V., 2016. Advances in digital SiPMs and their application in biomedical imaging. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 809, pp.31-52.
6. Schug, D., Wehner, J., Dueppenbecker, P.M., Weissler, B., Gebhardt, P., Goldschmidt, B., Salomon, A., Kiessling, F. and Schulz, V., 2015. PET performance and MRI compatibility evaluation of a digital, ToF-capable PET/MRI insert equipped with clinical scintillators. Physics in Medicine & Biology, 60(18), p.7045.
7. Weissler, B., Gebhardt, P., Dueppenbecker, P.M., Wehner, J., Schug, D., Lerche, C.W., Goldschmidt, B., Salomon, A., Verel, I., Heijman, E. and Perkuhn, M., Heberling, D., Botnar, R.M., Kiessling, F., and Schulz, V., 2015. A digital preclinical PET/MRI insert and initial results. IEEE transactions on medical imaging, 34(11), pp.2258-2270.
8. Schulz, V., Berker, Y., Berneking, A., Omidvari, N., Kissling, F., Gola, A., Piemonte, C., Sensitivity encoded silicon photomultiplier - a new sensor for high-resolution PET-MRI. Physics in Medicine & Biology, 2013. 58(14): p. 4733.
9. Berker, Y., Franke, J., Salomon, A., Palmowski, M., Donker, H.C., Temur, Y., Mottaghy, F.M., Kuhl, C., Izquierdo-Garcia, D., Fayad, Z.A. and Kiessling, F., and Schulz, V., 2012. MRI-based attenuation correction for hybrid PET/MRI systems: a 4-class tissue segmentation technique using a combined ultrashort-echo-time/Dixon MRI sequence. JNM., 53(5), pp.796-804.
10. Schulz , V., Torres-Espallardo, I., Renisch, S., Hu, Z., Ojha, N., Börnert, P., Perkuhn, M., Niendorf, T., Schäfer, W.M., Brockmann, H. and Krohn, T., 2011. Automatic, three-segment, MR-based attenuation correction for whole-body PET/MR data. European journal of nuclear medicine and molecular imaging, 38(1), pp.138-152

Publications