Advance through Networks

1
Advance through Networks
in Medicine and Engineering J. Hornegger, K.
Höller
2
RGS Erlangen First X-ray apparatus
RGS ? Siemens Healthcare
3
(No Transcript)
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 (gt 60 chairs and
  professorships)
• Extra-faculty research institutes with focus on
  medical technology(gt 20 RD 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

5
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
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

7
Medical Valley EMN Internationally competitive
Innovation
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

• FAU is involved in projects of the Cutting Edge
  Cluster with a 13 Mio volume.

8
Pulsating Heart at Medical Valley Center
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

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)

11
FAU Interdisciplinarity ZiMT
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

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

14
FAU/ZiMT Concept
15
Campaign 3-D Imaging in Medicine
16
Thank you for your kind attention!J.
HorneggerK. Höllerwww.zimt.fau.de
17
Research Projects in Healthcare EngineeringJ.
HorneggerK. Höller
18
Development and Evaluation of new efficient
Algorithms for Medical Image Registration
Prof. Dr.-Ing. Joachim Hornegger Pattern
Recognition Lab (Inf 5)

• Image Modalities
• Functional PET, SPECT, fMRI
• Morphological CT, MRI
• ? How to combine both modalities?
• Image fusion
• Improves efficiency of clinicaldecision
  processes
• Improves diagnosis reliability
• Image registration
• Hybrid machines SPECT/CT and PET/CT
• Software solutions rigid and non-rigid
  registration

19
Multi-Sensor Time-of-Flight 3-D Endoscopy
Prof. Dr.-Ing. Joachim Hornegger Pattern
Recognition Lab (Inf 5)

• Intra-operative 3-D Images
• Advantages of ToF
• High resolution of 204x204 pixels
• Real-time images with gt30Hz
• 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

20
Time-of-Flight applications for medical tasks
Dr.-Inf. Christian Schaller CEO Metrilus GmbH

• metritouch
• Interaction within steril environments causes
  problems
• Time-of-Flight cameras can be used to control
  medical datasets

21
Time-of-Flight applications for medical tasks
Dr.-Inf. Christian Schaller CEO Metrilus GmbH

• Patient Positioning
• Essential for radiotherapy and multimodal
  imaging
• Time-of-Flight camera is used to register
  surfaces
• Accuracy of about 2mm possible

22
Time-of-Flight applications for medical tasks
Dr.-Inf. Christian Schaller CEO Metrilus GmbH

• 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

23
OMARTOS Open and quiet magnetic resonance
tomographs
Prof. Dr.-Ing. L.-P- Schmidt Chair for High
Frequency Technology (LHFT)

• 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
24
MedieMAS Efficient Systems for Radiation
Therapy of Cancer
Prof. Dr.-Ing. L.-P- Schmidt Chair for High
Frequency Technology (LHFT)

• 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)
25
MedieMAS Efficient Systems for Radiation
Therapy of Cancer
Prof. Dr.-Ing. L.-P- Schmidt Chair for High
Frequency Technology (LHFT)

• 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)
26
Representation of Multi-dimensional Medical Image
Datasets
Prof. Dr.-Ing. A. Kaup Chair of Multimedia
Communicationsand Signal Processing

• 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 Prevent throwaway of data

27
Dynamic models for prediction of fall-risks of
elderly persons based on 3D acceleration data
Prof. Dr. G. Görz Artificial Intelligence
Dept.(Inf 8)

• Fall-Risk Prediction
• 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

28
Novell laser sources for dentistry
Prof. Dr.-Ing. B. Schmauß Chair for High
Frequency Technology (LHFT)

• 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)
29
Low-Cost fundus camera for the Third World
Prof. Dr.-Ing. B. Schmauß Chair for High
Frequency Technology (LHFT)

• 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

30
Yellow Raman fiber laser for applications in
dermatology
Prof. Dr.-Ing. B. Schmauß Chair for High
Frequency Technology (LHFT)

• 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)
31
Smart Object NetworksAutoID Technologies _at_ Work
Prof. Dr. Hans-Ulrich Prokosch Department
ofMedical Informatics

• 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