advance through networks

Advance through Networksin

Medicine and Engineering

J. Hornegger, K. Höller

RGS Erlangen: First X-ray apparatus

RGS Siemens Healthcare

20.04.23Advance 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


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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 Institute20.04.23

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


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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%


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Pulsating Heart at Medical Valley Center


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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


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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)


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FAU – Interdisciplinarity: ZiMT


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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


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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


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FAU/ZiMT Concept


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Campaign: “3-D Imaging in Medicine”


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Thank you for your kind attention!

J. HorneggerK. Höller

www.zimt.fau.de

Research Projects in Healthcare Engineering

J. Hornegger

K. Höller

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)


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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)


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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


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●Patient Positioning● Essential for radiotherapy

and multimodal imaging● Time-of-Flight camera is

used to register surfaces● Accuracy of about 2mm

possible



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●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



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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


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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)


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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)


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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


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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 setting20.04.23


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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)20.04.23


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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


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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)


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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


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