US 12,272,058 B2
Systems and methods for pseudo image data augmentation for training machine learning models
Tomasz Morgas, Henderson, NV (US); Benjamin M. Haas, Roggwil (CH); Pascal Paysan, Baden-Daettwil (CH); and Angelo Genghi, Wettingen (CH)
Assigned to SIEMENS HEALTHINEERS INTERNATIONAL AG, Steinhausen (CH)
Filed by Siemens Healthineers International AG, Steinhausen (CH)
Filed on Dec. 21, 2022, as Appl. No. 18/069,481.
Application 18/069,481 is a continuation of application No. 16/835,033, filed on Mar. 30, 2020, granted, now 11,562,482.
Prior Publication US 2023/0118094 A1, Apr. 20, 2023
Int. Cl. G06T 7/00 (2017.01); G06N 20/00 (2019.01); G06T 7/149 (2017.01)
CPC G06T 7/0012 (2013.01) [G06N 20/00 (2019.01); G06T 7/149 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10108 (2013.01); G06T 2207/10132 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for generating pseudo images of a target imaging modality, comprising:
selecting a pseudo-image generating process from a set of pseudo-image generating processes; and
applying the selected pseudo-image generating process on a first data set of medical images,
the medical images of the first data set including segmentation data and/or anatomical features related to an anomaly or disease,
the medical images of the first data set being of a first imaging modality,
the selecting of the pseudo-image generating process being by a user or an augmentation engine, and
the applying of the selected pseudo-image generating process includes applying one or more algorithms and process steps configured to generate a second data set of medical images using the medical images of the first data set and the segmentation data and/or anatomical features contained therein,
the medical images of the generated second data set including pseudo medical images of the target imaging modality that is different from the first imaging modality of the medical images of the first data set,
wherein the pseudo medical images are obtained by:
applying the selected pseudo-image generating process on the medical images of the first data set to generate pseudo image data of the target imaging modality; and
combining the medical images of the first data set with the generated pseudo image data of the target imaging modality.