Real-Time Microwave Imaging Device for Endoscopic Explorations and Interventions

Marta Guardiola

  • PROJECT LEADER

    Marta Guardiola

  • HOST ORGANIZATION,
    COUNTRY

    UPF, Universidad Pompeu Fabra, Spain

  • DESCRIPTION

    Research
    Microwave imaging is one of the most promising emerging imaging methods, as it is low-cost, portable and safe. In a clinical setting, it is a very attractive approach for its relatively low entrance barriers compared with other medical imaging methods.

    This novel endoscope device is based on microwave imaging. The proposed device will feature a small endoscope head with radiofrequency sensors to allow to form anatomical and functional images of the gastro-intestinal tract, improving the current early diagnosis tools.

    Aim
    To translate research on microwave imaging to the clinic and industry by developing a microwave endoscopy prototype, which fulfills medical device regulations.

    Problem to Solve
    Colorectal cancer (CRC) is one of the leading causes of mortality amongst cancer patients worldwide. Colonoscopies are only performed once the gold standard (Fecal Occult Blood Test – FOBT) is positive. Colonoscopies are time consuming and with the current tools it is not possible to determine the malignancy in real time. Therefore, better diagnosis instruments are necessary as it is estimated that around 22 % of polyps are missed with the current available tools.

    Innovation
    The proposed device will be a small endoscope head composed of several radio frequency sensors. These will allow it to form cross-sectional, as well as both anatomical and functional images of the gastro-intestinal lumen tract.

    Level of Innovation
    This system is composed of an antenna head linked to a set of software tools that will allow the fusion of the current endoscopic image with that created by the antenna head. The tool also provides a set of algorithms to appropriately detect and classify polyps. Moreover the device will create 3D patient specific colon models for surgical planning and training. Finally, the data collected will be cloud stored, processed and anonymized for sharing purposes (e.g. clinical trials and foster research on this topic).