US 12,288,324 B2
Providing a scene with synthetic contrast
Tobias Lenich, Nuremberg (DE)
Assigned to Siemens Healthineers AG, Forchheim (DE)
Filed by Siemens Healthcare GmbH, Erlangen (DE)
Filed on Aug. 3, 2021, as Appl. No. 17/392,397.
Claims priority of application No. 10 2020 210 192.2 (DE), filed on Aug. 12, 2020.
Prior Publication US 2022/0051401 A1, Feb. 17, 2022
Int. Cl. G06T 7/00 (2017.01); A61B 6/00 (2024.01); A61B 6/50 (2024.01); G06N 3/08 (2023.01); G06T 7/579 (2017.01); G16H 30/40 (2018.01)
CPC G06T 7/0012 (2013.01) [A61B 6/504 (2013.01); A61B 6/5217 (2013.01); G06T 7/579 (2017.01); G16H 30/40 (2018.01); G06N 3/08 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30104 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A computer-implemented method for providing a scene with synthetic contrast, the method comprising:
receiving preoperative image data of an examination region of an examination subject, wherein the examination region comprises a hollow organ, and wherein the preoperative image data images a contrast agent flow in the hollow organ;
receiving intraoperative image data of the examination region of the examination subject, wherein the intraoperative image data images a medical object at least partially disposed in the hollow organ;
generating the scene with the synthetic contrast by applying a trained function to input data, wherein the input data is based on the preoperative image data and the intraoperative image data, wherein the scene with the synthetic contrast comprises an image of a virtual contrast agent flow in the hollow organ taking into account the medical object at least partially disposed therein, wherein the virtual contrast agent flow comprises a predefined contrast value and/or intensity curve with respect to anatomical structures and/or tissue of the examination subject, and wherein at least one parameter of the trained function is based on a comparison between a training scene and a comparison scene; and
providing the scene with the synthetic contrast,
wherein the training scene has been generated with the synthetic contrast by applying the trained function to training input data,
wherein the training input data is based on preoperative training image data and intraoperative training image data, and
wherein the comparison scene with the synthetic contrast has been generated by applying a deformation correction to the preoperative training image data, wherein the deformation correction is based on the intraoperative training image data.