US 11,861,764 B2
3D depth reconstruction of vessels in 2D medical images
Thibaut Barroyer, Monmouth Junction, NJ (US); and Mehmet Akif Gulsun, Princeton, NJ (US)
Assigned to Siemens Healthcare GmbH, Erlangen (DE)
Appl. No. 15/734,637
Filed by Siemens Healthcare GmbH, Erlangen (DE)
PCT Filed Jun. 13, 2019, PCT No. PCT/EP2019/065428
§ 371(c)(1), (2) Date Dec. 3, 2020,
PCT Pub. No. WO2020/030331, PCT Pub. Date Feb. 13, 2020.
Claims priority of provisional application 62/715,579, filed on Aug. 7, 2018.
Prior Publication US 2021/0158580 A1, May 27, 2021
Int. Cl. G06T 7/00 (2017.01); A61B 6/00 (2006.01); G16H 30/40 (2018.01); G06T 11/00 (2006.01); G16H 50/20 (2018.01); G06N 3/08 (2023.01); G06N 3/045 (2023.01); A61B 5/055 (2006.01); A61B 8/08 (2006.01)
CPC G06T 11/005 (2013.01) [A61B 6/504 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 5/055 (2013.01); A61B 8/0891 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30101 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving a medical image comprising branches of one or more vessels;
generating a branch overlap image channel representing a pixelwise probability that the branches overlap;
generating a set of branch orientation image channels each associated with one of a plurality of orientations, each branch orientation image channel representing a pixelwise probability that the branches are oriented in its associated orientation; and
generating a multi-channel depth image based on the branch overlap image channel and the set of branch orientation image channels, each channel of the multi-channel depth image comprising portions of the branches corresponding to a respective depth.