Advance through Networks in Medicine and Engineering J. Hornegger, K. Höller.
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Transcript of Advance through Networks in Medicine and Engineering J. Hornegger, K. Höller.
RGS Erlangen: First X-ray apparatus
RGS Siemens Healthcare
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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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
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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Regional Proximity - Medical Valley Campus
Medical Valley EMN e.V.ZiMT/FAU
Siemens Healthcare Global Headquarter
Siemens Healthcare MR-Factory
Biotronik
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 Institute19.04.23
Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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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
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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Medical Valley EMN – Internationally competitive Innovation
FAU is involved in projects of the Cutting Edge Cluster
with a 13 Mio € volume.
Diagnostic ImagingSiemens Healthcare worldwide Nr.1 with MRs
TreatmentSystemsPeter Brehm generates over 60% of ist turnover beyond German borders
SmartSensorsCorscience generates 50% of ist turnover in international markets
OphtalmologyWaveLight holds a worldwide marketshare of 36,5%
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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Pulsating Heart at Medical Valley Center
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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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
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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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)
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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FAU – Interdisciplinarity: ZiMT
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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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
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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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 or
Equipment Technology
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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FAU/ZiMT Concept
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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Campaign: “3-D Imaging in Medicine”
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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Development and Evaluation of new efficient Algorithms for Medical Image Registration
● Image Modalities● Functional: PET, SPECT, fMRI● Morphological: CT, MRI
How to combine both modalities?
● Image fusion● Improves efficiency of clinical
decision processes● Improves diagnosis reliability
● Image registration● Hybrid machines: SPECT/CT and PET/CT● Software solutions: rigid and non-rigid registration
Prof. Dr.-Ing. Joachim HorneggerPattern Recognition Lab(Inf 5)
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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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
Prof. Dr.-Ing. Joachim HorneggerPattern Recognition Lab(Inf 5)
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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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
Dr.-Inf. Christian SchallerCEO Metrilus GmbH
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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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
Dr.-Inf. Christian SchallerCEO Metrilus GmbH
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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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
Dr.-Inf. Christian SchallerCEO Metrilus GmbH
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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OMARTOS – Open and quiet magnetic resonance tomographs
Prof. Dr.-Ing. L.-P- SchmidtChair 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
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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MedieMAS – Efficient Systems for Radiation Therapy of Cancer
Prof. Dr.-Ing. L.-P- SchmidtChair 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)
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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MedieMAS – Efficient Systems for Radiation Therapy of Cancer
Prof. Dr.-Ing. L.-P- SchmidtChair 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)
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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Representation of Multi-dimensional Medical Image Datasets
Prof. Dr.-Ing. A. KaupChair 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
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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Dynamic models for prediction of fall-risks of elderly persons based on 3D acceleration data
Prof. Dr. G. GörzArtificial 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 setting19.04.23
Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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Novell laser sources for dentistry
Prof. Dr.-Ing. B. SchmaußChair 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)19.04.23
Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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Low-Cost fundus camera for the Third World
Prof. Dr.-Ing. B. SchmaußChair 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
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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Yellow Raman fiber laser for applications in dermatology
Prof. Dr.-Ing. B. SchmaußChair 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)
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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Smart Object Networks:AutoID Technologies @ Work
Prof. Dr. Hans-Ulrich ProkoschDepartment 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
19.04.23Advance through Networks in Medicine and Engingeering | J. Hornegger, K. Höller
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