Research Scientist
Development of low-field MRI system with inhomogenity optimisation and enhanced image reconstruction
November 2022 – August 2024
Infineon Technologies (part-time, working student)
Machine Learning Researcher
Development of a Deep Learning algorithm for anomaly detection and classification on radar signal data
Development of a data pipeline for an algorithm-based API
October 2019 – October 2022
Futavis GmbH (part-time, working student)
Embedded Software Entwickler Development of a simulation environment for embedded system testing of a Battery Management System
Education
October 2021 – August 2024
RWTH Aachen, M.Sc. Data Science, Focus Area: Computer Science
Februar 2017 – September 2021
RWTH Aachen, B.Sc. Physik
Research Fields
My research focuses on the development of low-field MRI technology, with a particular emphasis on improving image reconstruction methods through the use of computer vision, machine learning, and optimization algorithms. Currently, I am simulating the MRI system in a virtual environment, optimizing magnetic field inhomogeneities using advanced computational techniques such as genetic algorithms. The potential application of reinforcement learning is also being explored at this stage. This work combines elements of physics, data analysis, and optimization techniques to fine-tune system performance.
Matthias Knapp: Auf dem Weg zur globalen B₀-Optimierung in permanentmagnet-basierten Niedrigfeld-MRT-Systemen (BA -> HiWi)
Malek Chaabane: Gradientenspulen-Design in Niederfeld-MRT-Systemen (BA)
Pedro Marinhoho Bressan: Fortgeschrittene Deep-Learning-Methoden für die beschleunigte und robuste Rekonstruktion in Niederfeld-MRT (MA, ongoing)
Nathan Bauerle: Einsatz von DINOv3 für Multi-Task-Verfahren in der Unterwasser-Bildverarbeitung (externe MA, ongoing)
Publications
Journal publications
2025
Marcel Ochsendorf, Emilia Yin-Großmann, Kostiantyn Lavronenko and Volkmar Schulz Nonlinear model-based b0 field compensation in low-field mri using hall sensor arrays and spatial interpolation In: Magnetic Resonance Materials in Physics, Biology and Medicine 38 (1)
Conference publications
2026
Marian Frei, Felix Dahms, Kostiantyn Lavronenko, Marcel Ochsendorf, Emilia Yin-Grossmann, Yannick Kuhl and Volkmar Schulz GPU-accelerated streamfunction design search for low-field MRI surface coils In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026
2026
Felix Dahms, Marian Frei, Marcel Ochsendorf, Kostiantyn Lavronenko, Emilia Yin-Grossmann, Yannick Kuhl and Volkmar Schulz Enhancing open-ended dome-shaped RF coils using brim structures In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026
2026
Kostiantyn Lavronenko, Matthias Knapp, Marcel Ochsendorf, Rüveyda Yilmaz, Marian Frei, Felix Dahms, Emilia Yin-Grossmann, Yannick Kuhl and Volkmar Schulz Diffusion-prior-based reconstruction and B0 field correction of knee MRI under simulated low-field distortions In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026
2026
Marcel Ochsendorf, Lukas Bierbüsse, Kostiantyn Lavronenko, Marian Frei, Felix Dahms, Emilia Yin-Grossmann, Yannick Kuhl and Volkmar Schulz External Hall-sensor-guided Larmor frequency calibration in low-field MRI with Local Spectral Refinement In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026
2026
Marcel Ochsendorf, Aleksander Stepien, Tom Merten, Robin Lintermann, Kostiantyn Lavronenko, Marian Frei, Felix Dahms, Emilia Yin-Grossmann, Yannick Kuhl and Volkmar Schulz IEEE 1588 precision time protocol trigger synchronization for sequence-relative experimental devices using MaRCoS firmware In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026
2026
Marcel Ochsendorf, Emilia Yin-Großmann, Kostiantyn Lavronenko and Volkmar Schulz Small-Bore, Big Fruits: End to end generation pipeline for 3D-printed phantoms with hidden micro-manifolds in Low-Field MRI In: 2026 ISMRM-ISMRT Annual Meeting and Exhibition
2026
Kostiantyn Lavronenko, Rueveyda Yilmaz, Zhu Chen, Johannes Stegmaier and Volkmar Schulz Atlas-Augmented Semantic Segmentation for Robust Ultra-Low-Field Pediatric Brain Imaging In: MICCAI Challenge on Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance
2025
Marcel Ochsendorf, Kostiantyn Lavronenko and Volkmar Schulz Adaptive magnetic field mapping to accelerate the $B_0$ shimming process in low-field MRI using Gaussian process regression: Adaptive sampling In: Proceedings of the 18th International Conference on Magnetic Resonance Microscopy (ICMRM)
2025
Kostiantyn Lavronenko, Marcel Ochsendorf and Volkmar Schulz B_0 Field Optimization of Permanent Magnet Assemblies with Characterized Field Variations in Individual Magnets Using Genetic Algorithms In: Proceedings of the 18th International Conference on Magnetic Resonance Microscopy (ICMRM 2025)
2025
Kostiantyn Lavronenko, Marcel Ochsendorf, Julian Thull and Volkmar Schulz Differentiable dipole-based optimization of permanent magnets for homogeneous B0 fields in low-field MRI In: Book of Abstracts, 41st Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2025)
2024
K. Lavronenko, L. Lopes de Paiva, F. Mueller, V. Schulz and S. Naunheim Towards artificial data generation for accelerated PET detector ML-based timing calibration using GANs In: 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)
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