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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Drive Tissue-Based Analysis and Provide Rich Quantitative Information

We develop innovative software solutions that measure tissue parameters across entire tissue sections automatically and precisely.

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Multicycle Real-time MRI Analysis

CaFuR enables cardiac diagnosis with real-time MRI. It consists of an accelerated MRI acquisition and a complete software solution for automated analysis.

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Medical Knowledge Through Research

Medical Knowledge Through Research

Medical Knowledge Through Research

Tablet PC Supports Liver Surgeons

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24.08.2017 | Press Release

Optimizing therapy planning for cancers of the liver

Fraunhofer MEVIS algorithms enhance the application of radioactive microspheres in cancer treatment

Latest News

7.9.2017

VCBM 2017 opens its doors at Fraunhofer MEVIS

Today the 7th Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM) opens its doors at Fraunhofer MEVIS in Bremen for two days of interdisciplinary exchange.

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4.9.2017

Article on Model-Based Therapy Planning for Aortic Valve Replacement in nature.com

A study in ten patients with aortic valve replacement (AVR) indicates that model-based therapy planning is able to accurately predict post-operative haemodynamics after AVR.

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29.8.2017

Open-heart art surgery

Yen Tzu Chang is the recipient of the artist residency jointly hosted by Fraunhofer MEVIS and Ars Electronica in the framework of the “European Digital Art and Science Network.” Ars Electronica created the international initiative to enable artists to participate in residencies at prestigious research institutes to connect science with digital art approaches. Chang will present the results of her work during the performance of “Whose Scalpel” at the Ars Electronica Festival in Linz from September 7 to 11.

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24.8.2017

Optimizing therapy planning for cancers of the liver

Radioembolization is a therapy method used for liver tumors that are uncurable with surgery or chemotherapy. Thorough development of an individual planning is important for successful treatment. Within the SIRTOP project, the Fraunhofer Institute for Medical Image Computing MEVIS in Bremen is developing sophisticated computer algorithms to make therapy planning faster and more precise. The research team will present their initial results at several upcoming conferences.

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29.08.2017 | Press Release

Open-heart art surgery

Taiwanese media artist Yen Tzu Chang presents the results of her artist residency at the Fraunhofer Institute for Medical Image Computing MEVIS

 

07.07.2017 | Institute News

Deep Learning: From AlphaGo to Diagnostics

Working group for exchange on deep learning in medical applications planned

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.

 

08.09. - 12.09.2017 | Congress

ESMO 2017 - European Society for Medical Oncology

Meet us in Madrid and let us discuss latest developments

 

16.09. - 20.9.2017 | Conference

CIRSE - Cardiovascular and Interventional Radiological Society of Europe 2017

We are looking forward to meet you, present our software portfolio, and discuss technological advances for image-guided therapies.