Patent ID: 9504428
Filing Date: 2016-11-29
CPC Classification: A61B,G06K,G06T

Claim Text:
1. A computer-implemented method for analyzing image pixels of soft tissue and determining a likely presence of a genetic variant, the method comprising: receiving, with processing circuitry, populational electronic information reflective of populational sets of values corresponding to pixels in a plurality of cranio-facial external soft tissue images associated with a plurality of geographically dispersed individuals having at least one genetic variant, wherein each populational set of values corresponds to relationships between at least one group of pixels in each of the cranio-facial external soft tissue images; generating, using the populational sets of values, electronic characterizations of each of the plurality of cranio-facial external soft tissue images; associating, in an electronic database, the electronic characterizations of each of the plurality of soft tissue images of the plurality of geographically dispersed individuals with at least one genetic variant; analyzing, with the processing circuitry, the electronic characterizations of each of the plurality of external soft tissue images to identify at least one populational predictor location associated with an external soft tissue attribute predictive of the at least one genetic variant; receiving, with the processing circuitry, subject-related electronic information reflective of subject-related sets of values corresponding to pixels of a cranio-facial external soft tissue image of a subject, wherein the subject-related sets of values correspond to relationships between at least one group of pixels in the cranio-facial external soft tissue image of the subject; analyzing, with the processing circuitry, the subject-related electronic information to identify a subject predictor location corresponding to the populational predictor location; comparing, information associated with pixels corresponding to the populational predictor location with information associated with pixels corresponding to the subject predictor location; determining, with the processing circuitry, whether a common dysmorphology exists between the subject predictor location and the populational predictor location; and predicting, based on the determining, with the processing circuitry, whether the subject has the genetic variant.