Press Releases

Cancel
  • © Fraunhofer MEVIS

    One of the world’s most important conferences in the field of computer assisted radiology and surgery, CARS 2018, will take place from June 20 to 23 in Berlin. The Fraunhofer Institute for Medical Image Computing MEVIS in Bremen will make an essential contribution to one of the conference’s key topics: How can minimally invasive heart procedures be performed more effectively and patient-friendly with the help of modern data and image processing algorithms?

    more info
  • A fruitful exchange between art and science
    © Yen Tzu Chang

    On June 5, the Fraunhofer-Gesellschaft will present Taiwanese artist Yen Tzu Chang in the scope of the “Science and Art in Dialog” event series in Berlin. She created a performance entitled “Whose Scalpel” during her artist residency at the Fraunhofer Institute for Medical Image Computing MEVIS. In a subsequent open discussion, Institute Director Horst K. Hahn and Ars Electronica Artistic Director Gerfried Stocker will explore complexity as a term and its possible ramifications for our society.

    more info
  • Four complex, interwoven vascular systems pass through the liver. Surgically removing tumors is therefore often a great challenge. The Fraunhofer Institute for Medical Image Computing MEVIS has developed algorithms that analyze patients‘ imaging data and calculate surgical risks. This makes liver cancer surgery safer and easier to plan.

    more info
  • What effect does a particular cancer medicine or radiation therapy have on patients? To find out, physicians use CT images to determine whether a tumor’s size changes during the course of treatment. In the PANTHER project, a joint team of experts aims at gaining further valuable information from these images. In the future, doctors will be able to find out at an early stage whether a cancer treatment is effective or should be changed. The Fraunhofer Institute for Medical Image Computing MEVIS, with its branches in Bremen and Lübeck, is an essential project partner. This spring, the project team will present the interim results from the first project period.

    more info
  • The AI platform integrates rapid prototyping of clinical applications and immediate inspection of the AI's capabilities on clinical data — while the learning progresses.
    © Fraunhofer MEVIS

    Bit by bit, computer assistants with the ability to learn are finding their way into hospitals and doctors’ practices. They support doctors during diagnosis and therapy planning. Until now, computer scientists played the primary role in designing and developing such ‘deep-learning’ algorithms. The Fraunhofer Institute for Medical Image Computing MEVIS in Bremen, however, is now developing AI systems in close cooperation with physicians. In Chicago on November 26, Fraunhofer MEVIS researchers will present their first promising results at RSNA 2017, the most important radiology congress in the world.

    more info
  • Artist Yen Tzu Chang at the MRI labor.
    © Fraunhofer MEVIS

    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.

    more info
  • Dosimetry in the liver
    © Fraunhofer MEVIS

    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.

    more info
  • MRI supply regions of specific blood vessels
    © Fraunhofer MEVIS

    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.

    more info
  • Information integration and artificial intelligence for better diagnosis and therapy decisions

    Joint press release of Fraunhofer MEVIS and Siemens Healthineers, Bremen / Erlangen / 24.5.2017

    Volume rendering of vascular tree and metastases in the lung
    © Fraunhofer MEVIS

    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.

    more info
  • © Fraunhofer MEVIS

    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.

    more info