The Glowing Brain

A new Fraunhofer MEVIS method conveys medical interrelationships quickly and intuitively with innovative visualization technology

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Improving Radiation Therapy Efficiency

Fraunhofer MEVIS has developed new methods for adjusting radiation therapy more effectively during the course of treatment

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Self-learning software for better medical diagnoses

Together with Dutch researchers, Fraunhofer MEVIS is starting a project in which computer recognizes suspicious abnormalities in medical image data. MRI, CT, pathology: doctors have to consider medical image data –increasing in both amount and complexity – to perform diagnoses and monitor therapy.

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Press Releases

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  • Bone Metastases
    © Photo Fraunhofer MEVIS

    Deep learning methods help discover bone metastases, which can be overlooked in clinical routine. CT dataset courtesy of Radboudumc, Nijmegen, NL.

    Physicians have long used visual judgment of medical images to determine the course of cancer treatment. A new program package from Fraunhofer researchers reveals changes in images and facilitates this task using deep learning. The experts will demonstrate this software in Chicago from November 27 to December 2 at RSNA, the world’s largest radiology meeting.

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  • The new robotic assistant requires just five minutes to position the needle.
    © Photo Fraunhofer IPA

    The new robotic assistant requires just five minutes to position the needle.

    Finding the ideal position for interventional needles – as used in biopsies, for instance – is a difficult and time-consuming process. This can now be performed automatically, using a robotic arm to place a needle guide for the doctor at the optimal insertion point. With robotic assistance, doctors need five minutes to position the needle, as opposed to 30 minutes with conventional techniques. The solution will be shown at the MEDICA trade fair in Düsseldorf from November 14 to 17, 2016 (Hall 10, Booth G05).

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  • Decision Support for Clinicians / 2016

    A Computer Simulation to Spare Children from Heart Surgery

    1.9.2016

    Simulation Blood Flow Aorta
    © Photo Fraunhofer MEVIS

    Simulation of the changes in blood flow after a virtual stent placement in a narrowing in the aorta. The comparison of the outcome of different treatments enables the selection of the most promising strategy.

    Children with congenital heart defects often undergo a battery of strenuous examinations and interventions. In the EU CARDIOPROOF project, Fraunhofer researchers have developed software to simulate certain interventions in advance. Preliminary results point to a reduced need to perform numerous interventions.

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  • meta-realistic medical moving imaging physically based rendering
    © Photo Fraunhofer MEVIS

    A fusion of anatomical and functional MR imaging, shows the brain areas which are activated during listening to music.

    On the monitor, a brain spins slowly and can be examined from every angle. Suddenly, some sections start glowing, first on the side and then the entire back of the head. These spectacular images show which brain areas activate when we speak, see, hear, or touch. The method originated at the Fraunhofer Institute for Medical Image Computing MEVIS in Bremen. It uses modern visualization technology called ‘physically based rendering’ in combination with medical image data and enriched with clinically relevant supplementary information. On October 1, the method will premiere in an exhibit at the AUDIOVERSUM Science Center in Innsbruck, Austria.

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  • Stimultated Dose Distribution of the Radiation Plan Project SPARTA
    © Photo Fraunhofer MEVIS

    Simulated dose distribution of the radiation plan.

    Radiation therapy is an established method of cancer treatment. The therapy consists of many treatment sessions and usually lasts for several weeks. During this time, physicians often have to adjust the treatment plan. By doing so tumors can be treated effectively and tissue surrounding the tumor is spared. Within the scope of the recently completed SPARTA project, the Fraunhofer Institute for Medical Image Computing MEVIS in Bremen developed several methods for facilitating and accelerating this adjustment.

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  • Automation in Medical Imaging AMI
    © Photo Fraunhofer MEVIS

    Deep learning algorithms autonomously find interesting spots in new digital images of tissue samples based on an automated analysis. Starting with the highest resolution, these neuronal networks compress the data until information and image interpretations emerge. They help doctors perform faster and safer diagnoses. When doctors correct the computer diagnosis, new knowledge flows in the self-learning algorithm.

    Together with Dutch researchers, Fraunhofer MEVIS is starting a project in which computer recognizes suspicious abnormalities in medical image data.

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  • cloud-based medical web applications
    © Photo Fraunhofer MEVIS

    By offering cloud computing, medical experts can share their knowledge without the need for being at the same place.

    At the Global Social Business Summit in Berlin, Fraunhofer MEVIS will search for ways to employ telemedicine more effectively in the developing world.

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  • Cardiac Function in Realtime CaFuR
    © Photo Fraunhofer MEVIS

    The software developed by Fraunhofer MEVIS automatically identifies the breathing and heart contraction phases in the data independent of the ECG information. This allows for a fast and easy examination of heart patients.

    The Fraunhofer-Gesellschaft and Max-Planck-Gesellschaft joined for a successful project on fast and easy examination of heart patients.

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  • Software Assistant for Interventional Radiology SAFIR allows minimally invasive procedures liver tumors
    © Photo Fraunhofer MEVIS

    The SAFIR software (Software Assistant for Interventional Radiology) developed by Fraunhofer MEVIS allows planning the successful treatment of liver tumors, thus increasing the chances of recovery.

    In recent decades, medicine has undergone a fundamental change. The computer has entered medical practices and clinics. X-ray and ultrasound images are now digitally recorded. Today, MRI and CT scanners deliver three-dimensional images and videos of the inside of the body. The Fraunhofer Institute for Medical Image Computing MEVIS in Bremen has contributed significantly to the field and developed a range of innovative software methods.

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