MRI scans of the brain

Computational imaging team awarded U.S. patent for capturing intra-tumoral heterogeneity on radiographic imaging

A team of faculty members and a graduate student were jointly awarded U.S. patent 9,483,822 for their invention “Co-Occurrence of Local Anisotropic Gradient Orientations.”

The team consisted of Anant Madabhushi, the F. Alex Nason Professor II of Biomedical Engineering, Pallavi Tiwari, assistant professor of biomedical engineering, and Prateek Prasnna, a graduate student in biomedical engineering.

The technology is associated with distinguishing disease phenotypes using co-occurrence of local anisotropic gradient orientations (CoLIAGe).

One example apparatus includes a set of logics that:

  • Acquires a radiologic image (e.g., MRI image) of a region of tissue demonstrating disease pathology (e.g., cancer);
  • Computes a gradient orientation for a pixel in the MRI image;
  • Computes a significant orientation for the pixel based on the gradient orientation;
  • Constructs a feature vector that captures a discretized entropy distribution for the image based on the significant orientation; and
  • Classifies the phenotype of the disease pathology based on the feature vector.

Embodiments of example apparatus may generate and display a heat map of entropy values for the image.