Advance through Networks

1. Advance through Networks in Medicine and Engineering J. Hornegger, K. Höller

2. RGS  Siemens Healthcare RGS Erlangen: First X-ray apparatus 1898 1896 Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

3. Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

4. High Concentration of Competencies • 500 companies with over 45.000 employees active exclusively or in part in the medical technology business • A University and several Universities of Applied Sciences with focus on medical technology in research and education (> 60 chairs and professorships) • Extra-faculty research institutes with focus on medical technology(> 20 R&D institutes) • 32% of all initial patent applications in diagnostics and surgery across Germany come from Valley Medical EMN • High-class public healthcare landscape with 43 hospitals treating well over 500.000 stationary patients per year • 75% of all cluster actors (industry, sciences, key customers) within a radius of 15 km around Erlangen Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

5. 1 8 7 11 10 9 3 4 5 6 8 9 7 2 11 12 1 2 3 4 5 6 12 10 Regional Proximity - Medical Valley Campus • Innovation Center Medical Technology and Pharma Erlangen • Medical Technology Chairs of the FAU • Medical Physics • Center for Medical Physics • and Technology • Biotechology Knowledge- and Technology- Transfer-Center of FAU Corscience MedTech CapitalFonds University Hospital Erlangen METEAN/Fraunhofer IIS Imaging Science Institute Medical Valley EMN e.V.ZiMT/FAU Siemens Healthcare Global HeadquarterSiemens Healthcare MR-FactoryBiotronik Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

6. Center of Excellence in Medical Technology • 41 projects applied for subsidies • comprising a total budget of 81 Mio. € • 22 of them with participation of SMEs • total share of 51% of all projects • 27 projects integrate partners from hospitals • For validation of their developments • Allocation on technological key topics • Medical imaging: 10 projects • Smart sensors: 9 projects • Therapy systems (Personalized medicine): 10 projects • Ophthalmology: 6 projects • Horizontal innovations for optimizing processes and products: 6 projects • Cluster management: 2 projects Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

7. Medical Valley EMN – Internationally competitive Innovation FAU is involved in projects of the Cutting Edge Cluster with a 13 Mio € volume. Diagnostic Imaging Siemens Healthcare worldwide Nr.1 with MRs SmartSensors Corscience generates 50% of ist turnover in international markets TreatmentSystems Peter Brehm generates over 60% of ist turnover beyond German borders Ophtalmology WaveLight holds a worldwide marketshare of 36,5% Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

8. Pulsating Heart at Medical Valley Center Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

9. FAU – Incubating Health Technologies • Four out of five schools do research in medical engineering and related fields • Interdisciplinary cooperation among the schools of engineering, science, medicine and business • In total more than 60 professors are working in this particular field of research focused on: • Medical imaging and image guided therapy • Optics and ultrasound • Biomaterials and molecular science • Health economics and technology assessment Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

10. FAU – MedTec Research Institutes • Central Institute of Healthcare Engineering (ZiMT) • Innovation Center for Medical Technology and Pharmaceuticals (IZMP) • Center for Medical Physics and Technology (ZMPT) • Imaging Science Institute (ISI) • Fraunhofer / University Hospital / FAU: Medical Technology Test and Demonstration Center (METEAN) • Interdisciplinary Center for Public Health (IZPH) • International Max Planck Research School on Optics and Imaging (IMPRS) • Graduate School in Advanced Optical Technologies (SAOT) • Bavarian Laser Center (BLZ) Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

11. FAU – Interdisciplinarity: ZiMT Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

12. FAU – Medical Technology Teaching • Healthcare Engineering • Life Science Engineering • Integrated Life Science • Molecular Science • Master of Medical Process Management • Master of Health Business Administration … and many other courses with facultative concentration on health technologies Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

13. Medical Engineering Education – Facts • Introduced in WS 2009/2010 • 300 first-year students in WS 2010/11 • More than 50% female students in WS 11/12 • Master started in WS 2011/12 • Excellent applicants • Highly motivated students • Focus on Medical Imaging orEquipment Technology Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

14. FAU/ZiMT Concept Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

15. Campaign: “3-D Imaging in Medicine” Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

16. Thank you for your kind attention!J. HorneggerK. Höllerwww.zimt.fau.de

17. Research Projects in Healthcare EngineeringJ. HorneggerK. Höller

18. Prof. Dr.-Ing. Joachim Hornegger Pattern Recognition Lab (Inf 5) Development and Evaluation of new efficient Algorithms for Medical Image Registration • Image Modalities • Functional: PET, SPECT, fMRI • Morphological: CT, MRI  Howtocombinebothmodalities? • Image fusion • Improvesefficiencyofclinicaldecisionprocesses • Improvesdiagnosisreliability • Image registration • Hybrid machines: SPECT/CT and PET/CT • Software solutions: rigid and non-rigid registration Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

19. Prof. Dr.-Ing. Joachim Hornegger Pattern Recognition Lab (Inf 5) Multi-Sensor Time-of-Flight 3-D Endoscopy • Intra-operative 3-D Images: • Advantages of ToF: • High resolution of 204x204 pixels • Real-time images with >30Hz • Off the shelf technology • Technical Adaption: • Beam splitter and fiber illumination • Powerful laser illumination • Medical Applications: • Off-axis view • Collision prevention • Automatic positioning • Augmented reality • Mosaicking Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

20. Dr.-Inf. Christian Schaller CEO Metrilus GmbH Time-of-Flight applications for medical tasks • [metri]touch • Interaction within steril environments causes problems • Time-of-Flight cameras can be used to control medical datasets Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

21. Dr.-Inf. Christian Schaller CEO Metrilus GmbH Time-of-Flight applications for medical tasks • Patient Positioning • Essential for radiotherapy and multimodal imaging • Time-of-Flight camera is used to register surfaces • Accuracy of about 2mm possible Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

22. Dr.-Inf. Christian Schaller CEO Metrilus GmbH Time-of-Flight applications for medical tasks • Respiratory Motion Gating • Respiratory motion causes tumor and organ movement • Using a Time-of-Flight camera it is possible to measure respiratory motion contact-less and without marker Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

23. Prof. Dr.-Ing. L.-P- Schmidt Chair for High Frequency Technology (LHFT) OMARTOS – Open and quiet magnetic resonance tomographs • Respiratory Motion Gating • RF transmitting and receiving coils for spin flipping and detection of weak magnetic RF fields • Ultra-low-noise receivers • Patient-friendly MR systems with less preparation time: • Use of superconductiong remote antenna coil arrays • instead of local surface coils requiring a long preparation time • Partner: • Siemens Healthcare • Siemens Corporate Technology 3T MR tomograph Verio (Siemens) Sketch of a Remote Body Array Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

24. Prof. Dr.-Ing. L.-P- Schmidt Chair for High Frequency Technology (LHFT) MedieMAS – Efficient Systems for Radiation Therapy of Cancer • Radiation therapy of cancer: • Characteristics: • Electron or X-ray beam with selectable dose rate • Accurate and flexible positioning • Optimization of the clinical work-flow by: • Optimized RF components for the beam accelerator • Innovative kinematics • Partner: • Siemens Healthcare • Chair FAPS, University Erlangen Therapy system ARTISTE (Siemens) Field simulation of the accelerator (LHFT) Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

25. Prof. Dr.-Ing. L.-P- Schmidt Chair for High Frequency Technology (LHFT) MedieMAS – Efficient Systems for Radiation Therapy of Cancer • Radiation therapy of cancer: • Characteristics: • Electron or X-ray beam with selectable dose rate • Accurate and flexible positioning • Optimization of the clinical work-flow by: • Optimized RF components for the beam accelerator • Innovative kinematics • Partner: • Siemens Healthcare • Chair FAPS, University Erlangen Therapy system ARTISTE (Siemens) Field simulation of the accelerator (LHFT) Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

26. Prof. Dr.-Ing. A. Kaup Chair of Multimedia Communicationsand Signal Processing Representation of Multi-dimensional Medical Image Datasets • Clinical Image Coding: • Limited ressources: • Storage server capacity • Network bandwidth • Physicians work schedule  How to efficiently store medical images on computer hardware? • Dynamic cardiac CT / MRT: • Utilize compression methods known from video coding • Make use of image characteristics, e.g. deformable motion, noise • Apply Source coding of motion  Goal: Preventthrowawayofdata Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

27. Prof. Dr. G. Görz Artificial Intelligence Dept.(Inf 8) Dynamic models for prediction of fall-risks of elderly persons based on 3D acceleration data • Fall-RiskPrediction • Clinical assessment tools: • Questionnaires • Physical tests and measurements • Disturbing, costly, non-continuously  More seamless methodologies? • Wearable 3D-Accelerometer • Integration with existing alarm clocks • Continuous monitoring AT HOME • Prediction • Reconstruction of (unobserved) clinically approved predictive parameters from sampled data • Challenge: Uncontrolled setting Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

28. Prof. Dr.-Ing. B. Schmauß Chair for High Frequency Technology (LHFT) Novell laser sources for dentistry • Diode lasers for dentists • Removal of enamel • Sterilisation of the pulp • Treatment of the Gingiva • Pulsed high-power diode laser: • Selection of different treatment and operation modes (cw/pulsed) • Fast pulse-mode with µs width and peak-power above 20 W • Research at the LHFT: • Characterization of the RF properties of high-power lasers • Development of adapted RF driver circuits Gingiva pigments High-power diode laser modules (Jenoptik) Equivalent RF circuit (LHFT) Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

29. Prof. Dr.-Ing. B. Schmauß Chair for High Frequency Technology (LHFT) Low-Cost fundus camera for the Third World • Telemedical diagnosis of diseases of the eye: • Idea: • Funduscopy by layperson in the third world • Eye doctor only for diagnosis • Effective screening of a huge number of persons • Fundus camera: • Low-Cost Design, Easy of use • High level of automation • Automized data preprocessing • Data transmission by existing mobile phone net Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

30. Prof. Dr.-Ing. B. Schmauß Chair for High Frequency Technology (LHFT) Yellow Raman fiber laser for applications in dermatology • Yellow laser beam sources: • High absorption of yellow light in blood, low absorption in the skin • Possible application: Therapy of Hemangioma • Yellow Raman fiber laser: • Compact and robus light surce based on fiber lasers • Replacement of cumbersome dye lasers • Research at the LHFT: • Optimization of efficency • Controll of non-linear fiber-optic effects Hämgagiom Gelber Raman-Faserlaser (LHFT) Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller

31. Prof. Dr. Hans-Ulrich Prokosch Department ofMedical Informatics Smart Object Networks:AutoID Technologies @ Work • Utilisation of Technologies • sensor networks, RFID, … • to localise, identify, monitor, actuate, communicate • for tracking mobile devices, cold chain surveillance, security, process management, … • Clinical Objectives • adaptation to healthcare • integration & interoperability • safety, security, reliability • Our Approach • development of hybrid services • process and system integration • evaluation in clinical routine Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller