US 11,854,158 B2
Medical image enhancement
Sureerat Reaungamornrat, Plainsboro, NJ (US); Andrei Puiu, Brasov (RO); Lucian Mihai Itu, Brasov (RO); and Tommaso Mansi, Plainsboro, NJ (US)
Assigned to Siemens Healthcare GmbH, Erlangen (DE)
Filed by Siemens Healthcare GmbH, Erlangen (DE)
Filed on Jan. 27, 2020, as Appl. No. 16/773,213.
Claims priority of application No. 19464005 (EP), filed on Mar. 25, 2019.
Prior Publication US 2020/0311869 A1, Oct. 1, 2020
Int. Cl. G06T 3/40 (2006.01); G16H 30/40 (2018.01); G06N 20/20 (2019.01); G06N 3/08 (2023.01); G06N 3/045 (2023.01)
CPC G06T 3/4046 (2013.01) [G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 20/20 (2019.01); G16H 30/40 (2018.01)] 18 Claims
OG exemplary drawing
 
1. A method for enhancing a medical image, comprising:
receiving an initial medical image having an initial field of view;
generating an augmented medical image having an expanded field of view using a trained machine learning model, the expanded field of view comprising the initial field of view and an augmentation region, the trained machine learning model generating imaging data between an outer perimeter of the initial field of view and an outer perimeter of the expanded field of view and immediately surrounding the initial field of view in the augmentation region; and
outputting the augmented medical image.