US 12,239,389 B2
Systems and methods for using photogrammetry to create patient-specific guides for orthopedic surgery
Fred W. Bowman, Germantown, TN (US); C. Brian McDaniel, Sr., Arlington, TN (US); Paul S. Bryant, Collierville, TN (US); and Brian R. Harris, Jr., Cordova, TN (US)
Assigned to MicroPort Orthopedics Holdings Inc., Arlington, TN (US)
Filed by MicroPort Orthopedics Holdings Inc., Arlington, TN (US)
Filed on Jul. 19, 2022, as Appl. No. 17/813,378.
Claims priority of provisional application 63/223,844, filed on Jul. 20, 2021.
Prior Publication US 2023/0027518 A1, Jan. 26, 2023
Int. Cl. A61B 34/20 (2016.01); A61B 90/00 (2016.01)
CPC A61B 34/20 (2016.02) [A61B 90/37 (2016.02); A61B 2034/2065 (2016.02); A61B 2090/376 (2016.02); G06T 2207/10116 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A system comprising:
a radiographic imaging machine, the radiographic imaging machine being calibrated to determine a mapping relationship between radiographic image points and corresponding space coordinates to define spatial data;
a first radiographic image of a subject orthopedic element, the first radiographic image captured by the radiographic imaging machine, wherein the first radiographic image defines a first reference frame;
a second radiographic image of the subject orthopedic element, the second radiographic image captured by the radiographic imaging machine, wherein the second radiographic image defines a second reference frame, wherein the first reference frame is offset from the second reference frame at an offset angle; and
a computational machine, wherein the computational machine receives the first radiographic image and the second radiographic image, wherein the computational machine projects spatial data form the first radiographic image and the second radiographic image along the offset angle to define volume data, wherein the computational machine uses a deep learning network to identify a surface of the subject orthopedic element using the volume data to define an identified surface, and wherein the computational machine further outputs a mating surface of a patient-specific surgical guide using the identified surface.