eGad is a machine-learning system that intelligently boosts the enhancement in post-contrast MRI images to make enhancing regions more conspicuous to readers.
eGad analysis is available for head MRI and breast MRI, with other areas of anatomy currently being explored. An eGad analysis typically takes 2 to 5 minutes to complete (and can be faster, depending on compute hardware).
eGad can be used to make small and faintly enhancing features more conspicuous. Metastases and multiple sclerosis plaques are easier to see with eGad.
eGad may also be used in conjunction with a reduced dose of contrast where there are concerns about renal insufficiency or gadolinium retention, such as patients with multiple sclerosis who may be imaged over many years. While a lower contrast dose may produce non-diagnostic image quality, this is remedied by the eGad post-processing, which can produce images with even greater enhancement than a full contrast dose would have provided.
eGad for breast MRI is a pilot product that measures the kinetic enhancement curve in each voxel of a sequence of post-contrast breast MRI volumes, boosts the conspicuity of enhancing regions, and produces a CAD overlay that highlights abnormalities.
eGad for liver MRI is a pilot product that measures the kinetic enhancement curve in each voxel of a sequence of post-contrast liver MRI volumes over 10 minutes, and then creates a synthetic 2-hour post-contrast series. This saves time and discomfort for the patient, who does not need to return for a second imaging study two hours after the first, and it frees up time for the MRI suite.
eGad uses Genetic Algorithms — a type of artificial intelligence. Like natural evolution, eGad adapts to changing circumstances.
eGad post-processing can be performed by the eGad Compute Server software running in the hospital or imaging clinic. A general-purpose server running Linux, Windows, or MacOS with at least 16 GB of RAM is capable of running eGad analyses with good performance. Alternatively, eGad analyses can be run on a cloud server, providing easy scalability with full security.
eGad post-processing can be performed by a desktop application running on a Windows PC or Mac. A modern laptop or desktop computer with at least 16 GB of RAM is capable of running eGad analyses with good performance.