Transforming the Visualization of Breast Health
Imago’s sophisticated software delivers new levels of visual intelligence, helping to support more confident diagnosis and better patient outcomes.
Enabling Earlier Identification of Abnormalities
Imago ICE Reveal is a transformational product, the first to provide a comprehensive view of the breast’s health.
ICE Reveal delivers a suite of new visualizations intended to improve both sensitivity and specificity when interpreting a mammogram. Each visualization has been developed to provide a unique presentation of the mammogram, and is specifically tuned to the human vision system, allowing for rapid identification of abnormalities.
Solving the Dense Breast Challenge
A feature of the ICE Reveal product will be the Fibroglandular tissue score and BI-RADS composition, providing clinicians with a contour map of the breast tissue and enabling identification of areas with rapid change of density, depicted by sharp contour elevation changes. These areas of sharp density change have a high correlation to pathology based on an independent study by Imago.
The contour image will provide both immediate feedback on potential areas of concern as well as create a benchmark for future mammograms, enabling clinicians to identify any changes in the density patterns.
Providing Specific, Accurate, and Objective Clinical Data
Visually accentuates the characteristics of “patterns” of tissues that bear the highest potential for being abnormal
Reveals the presence, margins (boundaries), and internal structures of lesions in all areas of the breast in a mammogram, even in those that are extremely dense
Highlights the presence of microcalcifications and reveals their associated masses
Clarifies low-attenuating masses, calcifications, and structural details of lymph nodes
Isolates regions of interest as the basis for optimizing its machine learning and artificial intelligence development programs
Shows areas of possible abnormalities within dense breast tissue by greatly increasing visual distinction whenever structures occur within other structures and appear white-on-white or gray-on-gray
Creates highly distinguishable characterizations of breast structures via color patterns