Head of Division
Tobias Schäffter studied electrical engineering and computer science at TU-Berlin until 1993 and obtained his PhD degree in magnetic resonance (MR) spectroscopic imaging at University Bremen (Prof. Leibfritz) in 1996. From 1996-2006, he worked as a Principal Scientist at the Philips Research Laboratories in Hamburg (Germany). He was responsible for the development of new MR-acquisition and reconstruction techniques as well as investigation of MR-compatible devices. He managed the clinical evaluation and product integration of industrial research.
In April 2006, Professor Schäffter took up the post as the Philip Harris Professor of Imaging Sciences at King’s College London. A major aim of his research is the investigation of fast and quantitative imaging techniques for cardiovascular applications with a strong focus on translation of biomedical engineering into clinical practice. From 2012 to 2015, he was department head of biomedical engineering and the deputy head of the division in imaging sciences. He taught in the BSc and MSc programmes of Biomedical Engineering. As director of the EPSRC doctorial training centre in medical imaging he was responsible for the PhD training programme between King’s and Imperial College London.
Since 2015 he heads the Division 8 of Medical Physics and Metrological Information Technology at Physikalisch-Technische Bundesanstalt (PTB) in Berlin, where he is responsible for the development of new quantitative measurement and reference techniques in medicine. He is the co-Spokesman of the doctoral training centre in quantitative Imaging of biophysical parameter BioQic at Charité Berlin. Since 2019 he is also a Professor in Biomedical Imaging at Technical University Berlin and the Einstein Centre Digital Future. Tobias Schäffter is member of the Berlin-Brandenburg Academy of Sciences.
Research Areas
- Medical Physics, Biomedical Engineering, Imaging Sciences, Data Science
- Magnetic Resonance Imaging (MRI)
- Reference Methods and physical Standards (phantoms)
- Interventional and Cardiovascular MRI
- Quantitative MRI
- Simultaneous PET-MRI
- Clinical Translation
Publications
orcid.org/0000-0003-1310-2631Curriculum Vitae
Abt. 8, Abteilungsbericht aus dem Jahresbericht
Der 
Abteilungsbericht gibt einen Überblick über die wichtigsten Nachrichten und Ereignisse der Abteilung „Medizinphysik und metrologische Informationstechnik“ des letzten Jahres und ergänzt somit den Jahresbericht 2022 der PTB.
DepartmentsDepartments
Tasks
Improvement in accuracy and reliability of
- measuring methods and testing procedures in medicine for quality assurance in diagnostics and therapy
- information processing components of scientific, industrial, and consumer protection oriented metrology.
Medical physics: Development of new measuring techniques and testing procedures for medical diagnostics, in particular laser-assisted measuring techniques, NMR-tomography and -spectroscopy, magneto cardiography and -encephalography (PTB Biomagnetic Center in Berlin), development and calibration of testing devices and reference materials.
Metrological information technology: Quality assurance for the use of information-technological means in metrology, especially in data acquisition , storage and processing. The area of work covers hard- and software problems as well as mathematical problems, the focuses being methods of digitizing, interfaces, communication components, software quality assurance, databases, numerical modelling and mathematical algorithms of measurement data processing, including relevant testing methods and tools. Pattern evaluation of cash gaming machines and voting machines in accordance with legal regulations.
Colloquium
Colloquium of Division 8
„Medical Physics and Metrological IT“
Location:
Physikalisch-Technische Bundesanstalt, Institut Berlin,
Abbestraße 2-12
10587 Berlin (Charlottenburg)
Contact:
antje.mueller(at)ptb.de , Tel.: (0049 30) 3481 7668
The aim of the colloquium is the inderdisciplinary exchange between fundamental and application-oriented research in the fields of medical physics and metrological IT. The colloquium hopes to support a dialogue between researchers, clinicians and representatives of industry. To this end, experts from various disciplines are invited to relay new theoretical and experimental approaches, and to discuss mutual fields of research from differing viewpoints. The colloquium is open to all PTB employees and guests.
Programme 2023:
26.10.2023 | Prof. Dr. Vince Madai, |
23.03.2023 | Dr. Stephen E. Robinson, |
Videos of past presentations:
Prof. Dr. Sebastian Kozerke,
ETH Zürich, Dep. Informationstechnologie und Elektrotechnik:
"Image Reconstruction and Inference - About Inverse Problems and Crimes"
The video is only available PTB-internally. Please get in touch with Anett Pfeiffer.
Prof. Dr. Julia Schnabel, Technische Universität München (TUM), Fakultät für Informatik:
"AI-enabled cardiac MRI"
30.3.2022
Prof. Dr. Jochen Guck, Max-Planck-Institut für die Physik des Lichtes, Erlangen:
"Physical phenotyping at rates of 1,000 cells/sec"
09.12.2021
Prof. Dr. Skyler Degenkolb, Physikalisches Institut, Universität Heidelberg:
"Quantum sensing for precision measurements: warm atoms and ultracold neutrons"
11.11.2021
Prof. Dr. & Dipl.-Ing. Sylvia Thun, Core Facility "Digital Medicine and Interoperability", Berlin Institute of Health (BIH) @ Charité:
"Enabling interoperability of information and processes across health domains"
18.10.2021
Prof. Oliver Wieben, University of Wisconsin-Madison, Depts. of Medical Physics & Radiology: "MRI Flow Imaging: Validation, Assessment of Complex Hemodynamics, and the Power of Functional Challenges"
23.08.2021
Dr. Jordi Alstruey, King's College London, Department of Biomedical Engineering: „Databases of in silico pulse waves for haemodynamic studies"
25.02.2021
Finding genetic sequences plays a key role in modern medical diagnostics. Today genetic sequences are commonly determined by next-generation-sequencing (NGS) techniques. Applications include cancer diagnostics and detection of pathogens. Such NGS techniques also lead to the discovery of the SARS-CoV-2 virus.
