Patent ID: 11954926
Assignee: AIVF LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A method of identifying predictors of successful IVF implantation comprising:
(a) obtaining a first sequence of time-stamped images tracking development of a pre-implantation embryo that has been qualified as being successfully implanted;
(b) obtaining a second sequence of time-stamped images tracking development of a pre-implantation embryo that has been qualified as being non-successfully implanted;
(c) computationally aligning said first sequence of time-stamped images with said second sequence of time stamped images such that said first sequence of time-stamped images and said second sequence of time-stamped images are development-time matched; and
(d) computationally processing each image of said first and said second sequences of time-stamped images in order to identify and track unique features of successfully implanted embryos for use as predictors of successful IVF implantation, wherein the identifying and tracking of the unique features comprises:
determining a plurality of log likelihood ratios for each pixel or group of pixels within the image, wherein each of the plurality of the log likelihood ratios relates to a different characteristic of the unique feature; and,
determining a confidence value for a target area of the image on the basis of the plurality of log likelihood ratios of the pixels within the target area, wherein the confidence value is indicative of whether the unique feature is represented by the target area of the image.