US 11,727,534 B2
Normalizing OCT image data
Suman Sedai, Hughesdale (AU); Stefan Renard Maetschke, Ascot Vale (AU); Bhavna Josephine Antony, Brunswick East (AU); Hsin-Hao Yu, Glen Waverley (AU); and Rahil Garnavi, Macleod (AU)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Dec. 8, 2020, as Appl. No. 17/114,924.
Prior Publication US 2022/0180479 A1, Jun. 9, 2022
Int. Cl. G06T 5/00 (2006.01)
CPC G06T 5/001 (2013.01) [G06T 2200/24 (2013.01); G06T 2207/10101 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 20 Claims
 
1. A computer-implemented method for generating device-specific optical coherence tomography (OCT) image data, comprising:
receiving, by one or more processors, at a unified domain generator, first image data corresponding to OCT image scans captured by one or more OCT devices;
processing, by the one or more processors, by the unified domain generator, the first image data to generate second image data corresponding to a unified representation of the OCT image scans;
determining, by the one or more processors, by a unified discriminator, third image data corresponding to a quality subset of the unified representation of the OCT image scans having a base resolution satisfying a first condition and a base noise type satisfying a second condition;
processing, by the one or more processors, using a conditional generator, the third image data to generate fourth image data corresponding to device-specific OCT image scans having a device-specific resolution satisfying a third condition and a device-specific noise type satisfying a fourth condition; and
outputting the fourth image data to a user interface of a computing device.