Surgical systems with intra-operative 3D scanners and surgical methods using the same

1. A method of performing an arthroplasty surgical procedure, comprising:

exposing a bone surface and a cartilage surface in an anatomical region of interest;

scanning intraoperatively, with an intra-operative 3D scanner, selected landmarks of at least one of the bone or cartilage surfaces;

generating, with a processor, from data generated by the 3D scanner during the scanning step, a 3D image;

identifying, with the processor, in the 3D image, one or more anatomical landmarks on at least one of the bone and cartilage surfaces;

automatically registering, with the processor, the one or more anatomical landmarks to at least one of pre-operative images or a machine learning database of images;

calculating, with the processor, according to the identified anatomical landmarks, a plurality of surgical positions;

generating, with the processor, guidance information, according to the surgical positions, for guiding the surgical procedure;

positioning a bone cutting jig proximate the bone surface, wherein the positioning includes use of the guidance information;

fixing the bone cutting jig to a bone proximate the bone surface;

capturing, with an image capture device, a plurality of images of the bone cutting jig provisionally fixed to the bone as the bone cutting jig and region of anatomical interest are moved;

determining, with the processor, positions of the bone cutting jig from the plurality of images; and

calculating, with the processor, from the determined positions, a mechanical axis of a bone.

2. The method of claim 1 , wherein the 3D scanner is one or more of a laser, white light, or blue light 3D scanner.

3. The method of claim 1 , wherein the scanning step includes performing surface height measurements of the bone surface using coherence scanning interferometry with broadband light illumination.

4. The method of claim 1 , wherein the bone surface is a distal femur or a proximal tibia.

5. The method of claim 1 , wherein the identifying step includes comparing, with the processor, the 3D image to one or more pre-operative images to identify the anatomical landmarks.

6. The method of claim 1 , wherein the identifying step includes comparing, the processor executing a machine learning software module, the 3D image to a training database of images to identify the anatomical landmarks.

7. The method of claim 1 , wherein the one or more anatomical landmarks include one or more of a trochlea groove, a trochlea notch, a bone-cartilage junction, a medial epicondyle, a lateral epicondyle, a distal femur articulating surface, a medial tibial plateau, a lateral tibial plateau, or a tibial tubercle.

8. The method of claim 1 , wherein the surgical positions include one or more of a transepicondylar axis, a patellofemoral axis, a posterior condylar axis, or a tibial rotation axis.

9. The method of claim 1 , wherein the calculating of the surgical positions includes calculating the surgical positions according to the calculated mechanical axis, the positioning step including positioning the provisionally-fixed jig according to the guidance information prior to securely fixing the jig to the bone surface for performing a cut.

10. The method of claim 1 , wherein the mechanical axis is at least one of a femur or tibia mechanical axis.

11. The method of claim 1 , wherein the generating step includes displaying, on a graphical user interface, a live video of the anatomical region of interest and a computer-generated image of a target in a determined position and orientation relative to the anatomical region of interest according to the calculated surgical positions, the positioning step including positioning the bone cutting jig to align with the target.

12. The method of claim 1 , wherein the generating step includes projecting onto the anatomical region of interest, with a hologram projector, a hologram of a target in a determined position and orientation relative to the anatomical region of interest according to the calculated surgical positions, the positioning step including positioning the bone cutting jig to align with the target.

13. The method of claim 12 , wherein the hologram of a target is a hologram of the bone cutting jig.

14. The method of claim 1 , wherein the anatomical region of interest is a knee, the method further comprising:

performing proximal tibia and distal femoral cuts;

removing the bone cutting jig while leaving at least one pin used to secure the bone cutting jig; capturing a plurality of images of the knee and the at least one pin during application of varus and valgus forces; and

determining, with the processor, from the plurality of images, a soft tissue balance of the knee.

15. The method of claim 14 , further comprising:

determining, with the processor, from the 3D image, at least one of a target position and orientation of a femoral 4-in-1 cutting jig;

generating, with the processor, guidance information, according to the determined target position and orientation of the femoral 4-in-1 cutting jig;

placing the knee in flexion; placing the femoral 4-in-1 cutting jig over the distal femoral cut; and

positioning the femoral 4-in-1 cutting jig, wherein the positioning includes use of the femoral 4-in-1 cutting jig guidance information.

16. The method of claim 1 , further comprising:

sending an instruction, with a processor, to an implant dispensing machine that contains a plurality of implants of varying size or type, to dispense an implant having a specified characteristic; and

in response to receiving the instruction, opening, with the implant dispensing machine, a secured compartment containing the implant.

17. The method of claim 1 , wherein the method does not include use of trackers fixed to bone for data collection, calibration, or navigation.

18. The method of claim 1 , wherein the method does not include or require a manual registration process.