Skip to Main content Open mobile menu Close mobile menu
Fighting lung cancer: Faster image processing for low-radiation CT scans
  1. Fighting lung cancer: Faster image processing for low-radiation CT scans

    This advance could be important for fighting lung cancers, as symptoms often appear too late for effective treatment.

  2. T-ray converts light to sound for weapons detection, medical imaging

    U-M researchers demonstrated a unique terahertz detector and imaging system that could bridge the terahertz gap.

  3. Hao Sun earns 3 Paper Awards for medical imaging research

    Hao’s research is focused on improving the quality of images from magnetic resonance imaging pulse design.

  4. Mai Le receives CoE Distinguished Leadership Award

    Mai has served as Community Service Co-chair of the Graduate Society of Women Engineers since arriving at Michigan in 2011.

  5. Student Spotlight: Mai Le – Finding a better way to diagnose breast cancer with MRI

    The research group is using statistical signal processing to create crisper images with only 20% of the data required by a traditional MRI scan.

  6. Gopal Nataraj earns Best Paper Award for improving MRI

    Nataraj is using big data techniques to transform the field of medical imaging

  7. Gopal Nataraj receives ISA Fellowship to support research that will improve MRIs

    Nataraj’s research aims to generate higher-quality and faster MRI images, resulting in improved diagnostics of neurological disorders and autoimmune diseases.

  8. New algorithms and theory for shining light through non-transparent media

    Their technique utilizes backscatter analysis to construct “perfectly transmitting” wavefronts.

  9. Research that will lead to sharper photos earns best paper award

    The method they developed compares favorably with the best of current techniques, while being faster and easier.

  10. New technology allows CT scans to be done with a fraction of the conventional radiation dose

    “We’re excited to be adding Veo to the measures we already have in place to ensure that we get diagnostic images using the lowest amount of radiation possible.”