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Medical Physics and Metrological Information Technology

Division 8


The aim of the division is the development of new quantitative measurement methods and provision of reference methods for the individualized and evidence-based medicine. The division also provides methods of mathematical modelling, statistical analysis and machine learning for advanced data and uncertainty analysis as well as information technology in legal metrology.

Head of Division

Prof Dr Tobias Schäffter studied electrical engineering and computer science at the Technische Universität (TU) Berlin until 1993. He obtained his PhD in 1996 on fast spectroscopic magnetic resonance (MR) imaging for the investigation of brain metabolism at the Department of Biology and Chemistry at the University of Bremen (Prof Leibfritz Lab). From 1996-2006, he worked as Principal Scientist at Philips Research in Hamburg on new MR measurement and reconstruction techniques and managed their clinical evaluation and product integration.

In 2006, he accepted an appointment as Professor in Imaging Sciences at King's College London. From 2012 to 2015 he was Department Head Biomedical Engineering and Deputy Head of the Division of Imaging Sciences. He taught on the BSc and MSc programmes in Biomedical Engineering and was Director of the EPSRC centre for doctoral training in Medical Imaging between King's College London and Imperial College London.

Since 2015, he has headed the Division 8 "Medical Physics and Metrological Information Technology" at the Physikalisch-Technische Bundesanstalt (PTB) in Berlin, where he is responsible for the development of new quantitative measurement techniques in medicine as well as data analysis and information technology. Since 2019, he has been Professor of Biomedical Imaging at the TU Berlin and the Opens external link in new windowEinstein Centre Digital Future.

Prof. Schäffter is member of the Berlin-Brandenburg Academy of Sciences and Humanities (BBAW) and the National Academy of Science and Engineering (acatech).


Research areas

·       Medical Physics, Biomedical Engineering, Imaging Sciences

·       Magnetic Resonance Imaging (MRI), Quantitative MRI, Interventional MRI, Cardiac MRI

·       Digital Health, Data Analysis, Machine Learning

·       Reference methods, Reference data sets, Physical standards




Google Scholar


Curriculum Vitae

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Abt. 8, Abteilungsbericht aus dem Jahresbericht

Der Opens external link in new windowAbteilungsbericht gibt einen Überblick über die wichtigsten Nachrichten und Ereignisse der Abteilung „Medizinphysik und metrologische Informationstechnik“ des letzten Jahres und ergänzt somit den Opens external link in new windowJahresbericht 2022 der PTB.



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 of Division 8

„Medical Physics and Metrological IT“




Physikalisch-Technische Bundesanstalt, Institut Berlin,

Abbestraße 2-12

10587 Berlin (Charlottenburg)



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 2024:


new date

10:00 a.m.

Lecture Hall (HvH)

Prof. Dr. Vince Madai, 
Quest Center for Responsible Research, Berlin Institute of Health at Charité (BIH):
"On everybody's lip but without the bite - the current state of trustworthy AI"


Programme 2023:



01:00 p.m.
Lecture Hall (HvH)

Prof. Dr. Vince Madai, 
Quest Center for Responsible Research, Berlin Institute of Health at Charité (BIH):
"On everybody's lip but without the bite - the current state of trustworthy AI"

02:00 p.m.
Lecture Hall (HvH)

Dr. Stephen E. Robinson, 
MEG Core Facility, National Institute of Mental Health (NIMH), Bethesda, Maryland, USA:
"Development of an OPM MCoG Array"


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 SchnabelTechnische Universität München (TUM), Fakultät für Informatik:
"AI-enabled cardiac MRI" 


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Prof. Dr. Jochen Guck, Max-Planck-Institut für die Physik des Lichtes, Erlangen: 
"Physical phenotyping at rates of 1,000 cells/sec"


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Prof. Dr. Skyler Degenkolb, Physikalisches Institut, Universität Heidelberg: 
"Quantum sensing for precision measurements: warm atoms and ultracold neutrons"


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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"


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Prof. Oliver WiebenUniversity of Wisconsin-Madison, Depts. of Medical Physics & Radiology: "MRI Flow Imaging: Validation, Assessment of Complex Hemodynamics, and the Power of Functional Challenges"


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Dr. Jordi AlstrueyKing's College London, Department of Biomedical Engineering: „Databases of in silico pulse waves for haemodynamic studies"


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