Center for Computational Imaging and Personalized Diagnostics researchers awarded two patents on December 8, 2020

Wednesday, December 9, 2020 - 19:08

On December 8, two patents were awarded to inventors from the Center for Computational Imaging and Personalized Diagnostics (CCIPD): “Quality control for digital pathology slides” and “Vascular network organization via Hough transform (VaNgOGH): a radiomic biomarker for diagnosis and treatment response”. Congratulations to Anant Madabhushi, PhD, Donnell Institute Professor, biomedical engineering and Director of CCIPD; Andrew Janowczyk, PhD, research assistant professor, biomedical engineering and CCIPD, and alumni of CCIPD Nathaniel Braman, PhD and Prateek Prasanna, PhD. Read details about the patents below.

 

“Quality control for digital pathology slides”

United States Serial Number (USSN): 10,861,156, December 8, 2020.

Inventors: Madabhushi, Anant; Janowczyk, Andrew

Abstract: Embodiments include accessing a set of digital pathology (DP) images having an imaging parameter; applying a low-computational cost histology quality control (HistoQC) pipeline to the DP images, where the low-computational cost HistoQC pipeline computes a first set of image metrics associated with a DP image, and assigns the DP image to a first or a second, different cohort based on the imaging parameter and the first set of image metrics; applying a first, higher-computational-cost HistoQC pipeline to a member of the first cohort; applying a second, different higher-computation-cost HistoQC pipeline to a member of the second cohort; where the first or second, higher-computational-cost HistoQC pipeline determines an artifact-free region of the member of the first or second cohort, respectively, and classifies the member of the first or second cohort, respectively, as suitable or unsuitable for downstream computation or diagnostic analysis based, at least in part, on the artifact free region.

 

“Vascular network organization via Hough transform (VaNgOGH): a radiomic biomarker for diagnosis and treatment response”

United States Serial Number (USSN):  10,861,152, December 8, 2020.

Inventors: Madabhushi; Anant (Shaker Heights, OH), Braman; Nathaniel (Cleveland, OH), Prasanna; Prateek (Cleveland, OH)

Abstract: Embodiments access a radiological image of tissue having a tumoral volume and a peritumoral volume; define a vasculature associated with the tumoral volume; generate a Cartesian two-dimensional (2D) vessel network representation; compute a first set of localized Hough transforms based on the Cartesian 2D vessel network representation; generate a first aggregated set of peak orientations based on the first set of Hough transforms; generate a spherical 2D vessel network representation; compute a second set of localized Hough transforms based on the spherical 2D vessel network representation; generate a second aggregated set of peak orientations based on the second set of Hough transforms; generate a vascular network organization descriptor based on the aggregated peak orientations; compute a probability that the tissue is a member of a positive class based on the vascular network organization descriptor; classify the ROI based on the probability; and display the classification.