Prof. Thomas Martin Deserno
Professor of Medical Informatics at Technische Univ Braunschweig
SPIE Involvement:
Senior status | Conference Program Committee | Journal Editorial Board Member | Author | Instructor
Area of Expertise:
Medical Image Processing , Computer-aided Diagnosis , Content-based Image Retrieval , Image Data Mining , DICOM , Workflow Interfacing
Profile Summary

Thomas M. Deserno (born as Lehmann) received the Diplom (Masters degree) in electrical engineering (School of Engineering), the PhD (summa cum laude) in computer science (School of Science), and the habilitation in medical informatics (School of Medicine) from the Aachen University of Technology (RWTH), Aachen, Germany, in 1992, 1998, and 2004, respectively. Since 2007, he is full professor of medical informatics.

In 1992, he was research scientist at the Faculty of Electrical Engineering, RWTH Aachen. Since 1992 he has been with the Department of Medical Informatics, Medical Faculty, RWTH Aachen, where he currently heads the Division of Medical Image Processing. He co-authored a textbook on image processing for the medical sciences (Springer-Verlag, Berlin, Germany, 1997) and edited the Handbook of Medical Informatics (Hanser Verlag, Munich, Germany, 2005). His research interests include discrete realizations of continuous image transforms, medical image processing applied to quantitative measurements for computer-assisted diagnoses, and content-based image retrieval from large medical databases.

Dr. Deserno is Chairman of the working group Medical Image Processing within the German Society of Medical Informatics, Biometry and Epidemiology (GMDS) and served as Chairman of the IEEE Joint Chapter Engineering in Medicine and Biology (IEEE German Section). He is senior member of the Institute of Electrical and Electronics Engineers (IEEE), and member of the International Association of Dentomaxillofacial Radiology (IADMFR), and the Society of Photo-Optical Instrumentations Engineering (SPIE), where he is member of the Program Committee of the annual symposium on Medical Imaging (CAD Track). In 2015, he became Associated Editor of SPIE Journal of Medical Imaging.
Publications (69)

Proc. SPIE. 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications
KEYWORDS: Mobile devices, Wound healing, Tissues, Image segmentation, Feature extraction, Image filtering, Machine learning

SPIE Journal Paper | October 27, 2017
JMI Vol. 4 Issue 04
KEYWORDS: Image registration, Image segmentation, Teeth, Data modeling, 3D image processing, Image processing algorithms and systems, 3D modeling, Computed tomography, Distance measurement, Magnetic resonance imaging

Proc. SPIE. 10332, Videometrics, Range Imaging, and Applications XIV
KEYWORDS: Imaging systems, Cameras, Calibration, Image processing, Particles, Error analysis, 3D modeling, Velocimetry, Velocity measurements, Stereo vision systems, 3D vision

Proc. SPIE. 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications
KEYWORDS: Wound healing, Tissues, Imaging systems, Cameras, Image segmentation, Skin, 3D modeling, 3D image processing, RGB color model, Picture Archiving and Communication System

Proc. SPIE. 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment
KEYWORDS: Image processing algorithms and systems, Wound healing, Detection and tracking algorithms, Tissues, Cameras, Calibration, Image segmentation, Image processing, Photography, Digital cameras, Digital imaging, Light sources and illumination, Neon, RGB color model

Proc. SPIE. 9789, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations
KEYWORDS: Mobile devices, Imaging systems, Cameras, Calibration, Image processing, Skin, Photography, Image analysis, Medical imaging, Image quality, Data integration, Web services, Automatic tracking, Clinical trials

Showing 5 of 69 publications
Conference Committee Involvement (17)
Imaging Informatics for Healthcare, Research, and Applications
17 February 2019 | San Diego, California, United States
Computer-Aided Diagnosis
17 February 2019 | San Diego, California, United States
Imaging Informatics for Healthcare, Research, and Applications
13 February 2018 | Houston, Texas, United States
Computer-Aided Diagnosis
12 February 2018 | Houston, Texas, United States
Imaging Informatics for Healthcare, Research, and Applications Posters
15 February 2017 | Orlando, FL, United States
Showing 5 of 17 published special sections
Course Instructor
SC086: Fundamentals of Medical Image Processing and Analysis
This course gives an overview of medical image formation, enhancement, analysis, visualization, and communication with many examples from medical applications. It starts with a brief introduction to medical imaging modalities and acquisition systems. Basic approaches to display one-, two-, and three-dimensional (3D) biomedical data are introduced. As a focus, image enhancement techniques, segmentation, texture analysis and their application in diagnostic imaging will be discussed. To complete this overview, storage, retrieval, and communication of medical images are also introduced. In addition to this theoretical background, a 45 min practical demonstration with ImageJ is given. ImageJ is a Java-based platform for medical image enhancement and visualization. It is developed by the National Institutes of Health, USA, open source and freely available in the public domain. For this course, ImageJ is appropriately configured with useful plug-ins (e.g. DICOM import, 3D rendering) and distributed on CD-ROM. Attendees are welcome to perform on their own laptop computers.
  • View contact details

Is this your profile? Update it now.
Don’t have a profile and want one?

Back to Top