Creating a New Standard of Visual Intelligence

Imago’s algorithms employ a ground-breaking approach to fundamentally transform digital image data so that abnormalities that are present—but are unable to be seen in the original mammogram—become apparent.

Top: Close-up of pixels within an X-ray of known cancerous lesion tissue extracted during surgery, with areas of normal tissue, mass margins, and cancerous core tissue marked accordingly.

Bottom: Close-up of the same pixels after processing with Imago’s ICE Color Island algorithm: Structures are visible within areas of normal and cancerous core tissue, and the cancer’s margins are clearly delineated. The colors—achieved through a convergence process— transform the unstructured data of the original image into structured data required for optimal machine learning and artificial intelligence applications.

Converting Unstructured Image Data into Structured, Highly Informative Visual Intelligence

Imago’s transformative algorithms are patent-pending mathematical models that enable the visualization, characterization, and differentiation among tissues and structures by revealing the relationships within neighborhoods of pixels in a digital image. By enabling each neighborhood to characterize itself, abnormalities stand out and become clearer to identify even when they are small.

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Top: Close-up of pixels within an X-ray of known cancerous lesion tissue extracted during surgery, with areas of normal tissue, mass margins, and cancerous core tissue marked accordingly.

Bottom: Close-up of the same pixels after processing with Imago’s ICE Color Island algorithm: Structures are visible within areas of normal and cancerous core tissue, and the cancer’s margins are clearly delineated. The colors—achieved through a convergence process— transform the unstructured data of the original image into structured data required for optimal machine learning and artificial intelligence applications.
Radiology workstation displaying original mammogram in the central monitor, characterized by two of Imago’s ICE algorithms. Color Island (L) and Contours (R) reveal margins and internal structures of the known malignancy.

Enabling a Magnitude of New Information and Diagnostic Confidence

The Imago ICE Platform™ transforms the subtle, often indistinguishable white-on-white and gray-on-gray pixel density patterns within images, such as mammograms, into clearly defined, visually apparent, and qualitatively distinct patterns. It is from the expression of these newly-visualized patterns that abnormalities, like cancer or any other areas of interest, can be more easily seen.

Supporting Better Decision-Making

By leveraging sophisticated image visualization and analytics, Imago ICE Reveal is able to display the information clinicians need within the images they already have. Imago’s technology is effective with current 2D and 3D images, making them measurably clearer and more informative, supporting better decision-making.

Unlike existing AI and genomic systems that might indicate only the existence or possible locations of cancer, but that do not characterize abnormal structures or provide other visual details critical to clinicians’ interpretations, Imago ICE Reveal generates multiple views of an original image, in spatial and frequency domains, that provide multi-dimensional qualities within a 2-dimensional image.

Intellectual Property

Imago Systems has strong and significant proprietary technologies, processes, and products included in the initial patent application. Additionally, critical aspects of the processes are held as multi-tiered trade secrets.

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  1. “Increasing the Number of Gray Shades in Medical Display Systems—How Much is Enough?” https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3043920/