Systems and methods of using three-dimensional image reconstruction to aid in assessing bone or soft tissue aberrations for orthopedic surgery

A product comprising a physical 3D model of a bone aberration produced by a process comprising:

• calibrating a radiographic imaging machine to determine a mapping relationship between radiographic image points and corresponding space coordinates to define spatial data;
• using a radiographic imaging technique to capture a first radiographic image of a subject orthopedic element, wherein the first radiographic image defines a first reference frame;
• using the radiographic imaging technique to capture a second radiographic image of the subject orthopedic element, wherein the second radiographic image defines a second reference frame, and wherein the first reference frame is offset from the second reference frame at an offset angle;
• projecting spatial data from the first radiographic image of the subject orthopedic element and spatial data from the second radiographic image of the subject orthopedic element to define volume data;
• using a deep learning network to detect the subject orthopedic element using the volume data, the volume data defining an anatomical landmark on or in the subject orthopedic element;
• using the deep learning network to detect a bone aberration on or in the subject orthopedic element using the volume data;
• applying the deep learning network to the volume data to generate the 3D model of the bone aberration;
• and
• using a manufacturing technique to produce a physical 3D model of the bone aberration.