Fraunhofer Institute for Medical Image Computing MEVIS

Medical Knowledge Through Research

Fraunhofer MEVIS develops real-world software solutions for computer-aided medicine, bridging between medical imaging, image-guided therapy, and healthcare informatics – bringing benefits to patients, customers and partners.

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Software Assistance for Needle Based Intervention

SAFIR supports the whole interventional workflow from planning to assessment utilizing segmentation, registration, simulation, optimization and visualization methodology. To facilitate fast deployment of new applications targeted at specific clinical questions or scientific projects, SAFIR is designed as a modular framework, which allows for re-using information processing methods and customization of algorithms.

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Medical Knowledge Through Research

Medical Knowledge Through Research

Medical Knowledge Through Research

Medical Knowledge Through Research

Medical Knowledge Through Research

Medical Knowledge Through Research

 

21.06.2017 | Press Release

Blood flow under magnetic magnifier

A training workshop at Fraunhofer MEVIS will deliver information about the possibilities of perfusion magnetic resonance imaging

Latest News

22.6.2017

Ninth Meeting of the Fraunhofer MEVIS Advisory Board

In Bremen on Wednesday, June 21, 2017, the Fraunhofer MEVIS Advisory Board (Kuratorium) met for the ninth time.

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21.6.2017

Blood flow under magnetic magnifier

When diagnosing strokes and heart diseases or looking at tumors, perfusion magnetic resonance imaging offers a gentler way to capture the blood flow circulation in the organs. However, the method is far from being implemented to its full potential at many clinics. The Fraunhofer Institute for Medical Image Computing MEVIS in Bremen, Germany is organizing a workshop entitled “Measurement of Perfusion and Capillary Exchange” from June 21 to 23 to promote adoption of the method. The event will provide information about its applications and the current state of research. With their joint research alliance, Siemens Healthineers and the Fraunhofer Institute for Medical Image Computing MEVIS will support physicians in finding the right course of therapy for their patients.

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24.5.2017

Information integration and artificial intelligence for better diagnosis and therapy decisions

Research alliance between Fraunhofer MEVIS and Siemens Healthineers develops decision support systems for physicians based on deep machine learning. With their joint research alliance, Siemens Healthineers and the Fraunhofer Institute for Medical Image Computing MEVIS will support physicians in finding the right course of therapy for their patients.

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1.3.2017

Ultrasound scalpel destroys liver tumors

Focused ultrasound can effectively destroy tumor cells. Until now, this method has only been used for organs such as the prostate and uterus. At the European Congress of Radiology, Fraunhofer researchers will present a method, developed as part of the TRANS-FUSIMO EU project, that enables focused ultrasound treatment of the liver, an organ that moves while breathing. In the future, this could enable treatment of certain liver tumors in a more gentle way.

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24.05.2017 | Press Release

Information integration and artificial intelligence for better diagnosis and therapy decisions

 

1.03.2017 | Press Release

Ultrasound scalpel destroys liver tumors

Focused ultrasound can effectively destroy tumor cells.

About Fraunhofer MEVIS

Learn more about who we are, what we do and what drives us.

Scientific Publications

Browse through our list of scientific publications structured by type and year of publication.

 

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Fairs & Conferences

 

Upcoming Events

Come and meet us at one of the upcoming events and get to know more about us and our expertise.

 

04.07.2017 | Conference

Lübeck Summer Academy on Medical Technology 2017

This year's topics are regulatory affairs for medical devices, deep learning and microfluidics.

21.06. - 23.6.2017 | Course

MR Measurement of Perfusion and Capillary Exchange

The course provides an overview of modern technologies for perfusion imaging with a focus on MRI modalities.