Patent ID: 9177102
Filing Date: 2015-11-03
Classification: A61B,G06T,G16H

Abstract:
1. A method for analyzing a set of images, wherein the images are acquired using at least one image acquisition system and stored such as to be accessible through query to a database, the method comprising: receiving a plurality of images from at least one image acquisition system; storing the received plurality of images in a data storage system, wherein the images are accessible through query to a database; selecting at least a portion of the set of images through query to a database for analysis using at least one attribute of image metadata in the query; selecting at least one method for deriving quantitative information from the at least a portion of the set of images; processing the selected at least a portion of the set of images with the selected at least one method for deriving quantitative information; associating the derived quantitative information with the at least a portion of the set of images via a data structure; selecting at least one method for aggregating at least a portion of a set of derived quantitative information into a reduced set of results; generating at least one report to represent the reduced set of results for one of an individual image and the set of images as a pool; marking a structural measurement, a functional measurement, a descriptor and/or an annotation; and identifying one of a boundary of a layer, an area and a volume within the structure of the image, wherein the method involves user intervention with a representation of the image displayed on graphical display; is fully automated through computer algorithms without user intervention; or involves a combination of user intervention and computer algorithms; wherein the reduced set of results comprises a measurement of distances between boundaries identified within the structure of an image and a statistical summarization of the measurement data according to a sector map defined for the image; wherein the statistical summarization comprises one or more of a count, an average, a variance, a standard deviation, and a higher order moment and the computation of a confidence interval; and wherein the confidence interval expresses a measure of a degree of goodness of the performance of an algorithm used to generate the reduced results.