Fraunhofer-Institut für Graphische Datenverarbeitung IGD of Darmstadt at MEDICA 2018 in Düsseldorf -- COMPAMED Trade Fair

Fraunhofer-Institut für Graphische Datenverarbeitung IGD

Fraunhoferstr. 5, 64283 Darmstadt
Germany
Telephone +49 6151 155100
Fax +49 6151 155199
info@igd.fraunhofer.de

This company is co-exhibitor of
Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.

Hall map

MEDICA 2018 hall map (Hall 10): stand G05

Fairground map

MEDICA 2018 fairground map: Hall 10

Contact

Dr. Mario Aehnelt

Head of Competence Center
Visual Assistance Technologies

Joachim-Jungius-Straße 11
18059 Rostock, Germany

Phone
+49 381 4024-109

Email
mario.aehnelt@igd-r.fraunhofer.de

Dr. Stefan Wesarg

Head of Competence Center
Visual Healthcare Technologies

Fraunhoferstr. 5
64283 Darmstadt, Germany

Phone
+49 6151 155-511

Email
Stefan.Wesarg@igd.fraunhofer.de

Prof. Dr. Jörn Kohlhammer

Head of Competence Center
Informationsvisualisierung und Visual Analytics

Fraunhoferstr. 5
64283 Darmstadt, Germany

Phone
+49 6151 155-646

Email
joern.kohlhammer@igd.fraunhofer.de

Daniela Welling

Leiterin
Unternehmenskommunikation

Fraunhoferstr. 5
64283 Darmstadt, Germany

Phone
+49 6151 155-146

Email
daniela.welling@igd.fraunhofer.de

Our range of products

Product categories

  • 06  Information and Communication Technology
  • 06.05  Administrative information systems / software
  • 06.05.01  Healthcare information systems / software (HIS)

Healthcare information systems / software (HIS)

  • 06  Information and Communication Technology
  • 06.06  Medical information systems / software
  • 06.06.05  Image processing and archiving, imaging, OCR, DTP, RIS, PACS

Image processing and archiving, imaging, OCR, DTP, RIS, PACS

Our products

Product category: Image processing and archiving, imaging, OCR, DTP, RIS, PACS

AI for image analysis

Identifying and indicating anatomical structures in medical imaging data is required above all to plan and implement treatment. For 3D imaging data in particular, this is a time-consuming process that can no longer be effectively performed manually. Fraunhofer IGD has developed learning processes able to segment a multitude of structures in imaging data simultaneously and completely automatically. The generic approach can be applied to different imaging modalitiese and areas of the body.

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Product category: Image processing and archiving, imaging, OCR, DTP, RIS, PACS

Visual cohort analysis

One basic concept of personalizing medicine is the analysis of patient data by forming cohorts. Cohorts generally describe patient groups with relevant commonalities. Fraunhofer IGD is developing tools for interactive data analysis in close consultation with clinical users. They compile a patient group and, with the help of custom visual analysis tools, see immediately whether a cohort is promising and how that cohort can be refined.

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Product category: Image processing and archiving, imaging, OCR, DTP, RIS, PACS

Anomaly detection in vital signs

Analyzing vital signs, such as heart rate, heart rate variability or respiratory rate, makes it possible to identify quality of sleep, stress level and anomalies such as sleep apnea or loss of consciousness. Abnormal patterns are swiftly detected by extensively collecting and continuously evaluating the data. This means medical care can be provided faster. Success of treatment can also be verified better. Multiple sensors and situation-based algorithms enhance robustness of detection.

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Product category: Healthcare information systems / software (HIS)

Digital control station

Health@Hand is a visual control station for use in healthcare facilities and hospitals. Medical and administrative data is visualized in a virtual representation of the real ward. Health@Hand acts as a support tool for decision-makers on site, summarizing and visually processing information about the ward so multilayered relationships can be understood more quickly.

The control station analyzes the available data in several stages. Operating figures for the entire ward can be displayed all at once or in detail, for example, for single rooms or over a given period. The goal is to simplify ward monitoring, immediately detect disruptions and, thus, be able to intervene in time. The Health@Hand technology is also mobile and web-capable. Staff can use mobile devices, such as tablets, to access and interactively exchange control station data from anywhere.

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Company news

Date

Topic

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Nov 6, 2018

Artificial Intelligence for Optimal Patient Care

Artificial intelligence is defining medicine and opening up new possibilities for everyone involved on the path to individual health. At the MEDICA trade fair, from November 12 to 15, 2018 in Düsseldorf, Germany, researchers from Fraunhofer IGD will present new technology for virtual biopsies and cohort analysis that utilize artificial intelligence.

(Darmstadt/Düsseldorf) When a person is taken to the hospital--with a tumor in the head and neck region, for example--the first step is a comprehensive diagnosis: The shape and location of body structures such as organs, tissue and tumors need to be identified and highlighted in medical imaging data. However, with three-dimensional imaging, such as MRI or CT, doing this manually is extremely laborious and time-consuming. Special software developed by the Fraunhofer Institute for Computer Graphics Research will soon assist health professionals not just in this type of analysis of imaging data, but it will also automatically generate a “virtual biopsy”, localizing and highlighting the tumor, displaying it three-dimensionally and analyzing the data. This will allow the software to derive over a hundred parameters from the CT images of a head and neck tumor. Initial results show that this approach not only analyzes CT images more quickly, it also provides information that could only be obtained through a surgical procedure and subsequent lab testing of the biopsied tissue. Aside from imaging organs and body regions, artificial intelligence is making it possible to automatically segment and analyze imaging data that is difficult to interpret.

Diagnosis and treatment in the “Smart Hospital”
Another interesting question doctors face is whether there are noticeable connections between the person being treated and other people. To answer this, health professionals combine the data of people with similar clinical pictures or other similarities, such as age or gender, into cohorts. The researchers at Fraunhofer IGD have developed software to assist doctors in forming suitable cohorts, examines them for significant connections, visualizes the attributes, and facilitates and accelerates the identification of clinically relevant hypotheses. What took several hours to do manually will take this automatic process mere seconds--valuable time gained for treating the patient. Incorporating artificial intelligence in the search for a hypothesis also ensures that a potentially critical factor is not overlooked.

More time for patients with a visual control station
Created by compiling all relevant parameters, the patient’s »digital twin« contributes to optimal care. Health@Hand, Fraunhofer IGD’s visual solution, combines all digitally available data, including the patient’s real-time vitals, into a graphic overview. As a digital control station, the system provides hospital staff with all relevant information with just a click and reprocesses it visually. This means necessary information is collected considerably more quickly. However, the control station is not content with just showing a single patient, rather it shows a live 3D model of the entire hospital ward, including inventory. Doctors and nurses can view the digital twin of the station on a PC or tablet and immediately know where, for example, a mobile X-ray machine is currently located. Key data for the entire ward can either be displayed all at once or viewed in detail¾for a single room or over a given period, for example. The goal is to simplify ward monitoring, detect disturbances immediately and thus be able to intervene in time.

Preventive and follow-up care in the age of digital health
To analyze an individual’s health information, the Health@Hand system links together crucial data from different clinical data systems to make possible entirely new conclusions. Trends in the patient’s health can be identified sooner and prognoses for the treatment process made more quickly. To maintain a patient’s health even at home, continuously recorded vitals can be supplied directly to the system. This would be sensible for, say, diabetes: The doctor immediately sees when levels exceed normal range and can take appropriate action. Even vitals and activity data from wearables, such as fitness armbands or smartwatches, can be included in the system, allowing it to act as a personal health assistant and make a valuable contribution to prevention.

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About us

Company details

Fraunhofer IGD is the international leading institution for applied research in the field of visual computing. Visual computing means image and model-based IT. In simple terms, it describes the capability of transforming information into images (computer graphics) and extracting information from images (computer vision).

Our approaches facilitate the work with computers and are efficiently used in the industry, in everyday life, and in the healthcare sector. Our research highlights includes assisting people in the Industrie 4.0, the development of key technologies for the smart city, and the use of digital solutions in the individual health.

Our developers develop new technical solutions and prototypes all the way up to the market readiness stage. Especially small and medium-sized enterprises as well as service centers can benefit from this and be successful on the market with the help of our leading technologies.

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