Quantitative imaging for instantaneous wave-free ratio
AssigneeElucid Bioimaging Inc.
InventorsAndrew J. Buckler, Mark A. Buckler
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Abstract
Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.
Claims25
A method for computer aided detection of instant wave-free ratio for a pathology using an enriched radiological dataset, the method comprising:
- receiving a radiological dataset for a patient, wherein the radiological dataset is obtained non-invasively;
- enriching the dataset by performing analyte measurement and/or classification of one or more of (i) anatomic structure, (ii) shape or geometry or (iii) tissue characteristic, type or character with objective validation for a set of analytes relevant to a pathology, wherein the analyte measurement and/or classification of anatomic structure, shape, or geometry and/or tissue characteristic, type, or character includes semantic segmentation to identify and classify regions of interest in the radiological dataset, wherein the regions of interest are identified with respect to cross-sections of a tubular structure in the radiological dataset;
- and
- using a machine learned classification approach based on known ground truths to process the enriched dataset and determine an instant wave-free ratio for the pathology.
A method for computer aided detection of instant wave-free ratio for a pathology using an enriched radiological dataset, the method comprising:
- receiving a radiological dataset for a patient, wherein the radiological dataset is obtained non-invasively;
- enriching the dataset by performing analyte measurement and/or classification of one or more of (i) anatomic structure, (ii) shape or geometry or (iii) tissue characteristic, type or character with objective validation for a set of analytes relevant to a pathology, wherein the analyte measurement and/or classification of anatomic structure, shape, or geometry and/or tissue characteristic, type, or character includes semantic segmentation to identify and classify regions of interest in the radiological dataset, wherein the regions of interest are identified with respect to cross-sections of a tubular structure in the radiological dataset;
- using a machine learned classification approach based on known ground truths to process the enriched dataset and determine a fractional flow reserve for the pathology;
- and
- determining an instant wave-free ratio for the pathology based on the fractional flow reserve.
Dependencies are inferred from the claim text.