ACTIVITY-OPTIMIZED CUTTING GUIDES FOR KNEE ARTHROPLASTY

1 . (canceled)

2 . A method for planning a joint arthroplasty procedure for a joint of a patient, the method comprising:

receiving, by a processor, pre-operative image data comprising one or more pre-operative images of the joint;

determining, based on at least the pre-operative image data, one or more first pose parameters for a first implant component with respect to an anatomical structure of the joint;

obtaining, by the processor, one or more second pose parameters for a second implant component with respect to the anatomical structure of the joint based on at least one of the pre-operative image data and the one or more first pose parameters;

applying, by the processor, a patient-specific statistical model of joint performance to a surgical plan to identify one or more post-operative performance characteristics of the joint, the patient-specific statistical model comprising one or more transfer functions;

overlaying one or more performance data values, associated with the one or more post-operative performance characteristics of the joint, onto a spatially registered graphical representation to generate an enhanced spatially registered graphical representation, the spatially registered graphical representation comprising the first and the second implant components, associated with one or more first and second pose parameters with respect to the anatomical structure of the joint, and the preoperative image;

projecting the enhanced spatially registered graphical representation onto a visual field of a user, wherein the enhanced graphical representation is rendered onto a visual interface associated with an augmented reality (AR) head-mounted display (HMD), wherein the enhanced graphical representation is dynamically updated on the visual interface based on one or more modifications received via an input device.

3 . The method of claim 2 , wherein the spatially registered graphical representation is constructed by performing a spatial registration of the first and second implant components with respect to the anatomical structure of the joint using one or more fiducial markers and one or more sensors.

4 . The method of claim 2 , wherein the enhanced graphical representation is aligned with a target environment, within the visual field of the user, using the one or more one or more tracking fiducial markers and one or more sensors.

5 . The method of claim 2 , wherein the enhanced spatially registered graphical representation is holographically projected onto the visual field of the user

6 . The method of claim 5 , wherein the AR-HMD comprises an array of camera units operative to capture a 3D imagery of the target environment.

7 . The method of claim 6 , wherein the array of camera units comprises one or more of optical sensors, Infra-red (IR) sensors and illumination sources.

8 . The method of claim 7 , wherein the AR-HMD is configured to identify one or more features of the target environment using one or more image processing algorithms in conjunction with one or more signals captured by the array of cameral units.

9 . The method of claim 2 , wherein the one or more modifications correspond to one or more real-time pose parameter values provided by the user.

10 . The method of claim 2 , wherein the anatomical structure of the joint comprises an acetabulum.

11 . The method of claim 10 , wherein the first implant component comprises an acetabular cup and the second implant component comprises a femoral implant.

12 . The method of claim 11 , wherein the one or more first pose parameters are selected from the group consisting of an anteversion angle and an abduction angle.

13 . The method of claim 11 , wherein the one or more second pose parameters are selected from the group consisting of a femoral offset, a femoral version, and a leg length.

14 . The method of claim 11 , wherein the one or more second pose parameters are selected from the group consisting of a femoral stem size and a femoral stem design.

15 . The method of claim 2 , wherein the pre-operative image data further comprises one or more patient-specific anatomical measurements associated with the joint.

16 . The method of claim 15 , wherein determining the one or more first pose parameters comprises determining the one or more first pose parameters based on the one or more pre-operative images and one or more of patient-specific anatomical measurements and historical patient data.

17 . The method of claim 2 , wherein determining the one or more first pose parameters comprises:

receiving human input associated with the first implant component, wherein the human input is received from the user via the input device, and

determining the one or more first pose parameters based on the pre-operative image data and the human input.

18 . A system for planning a joint arthroplasty procedure for a joint of a patient, the system comprising:

an input device;

one or more processors; and

a non-transitory, computer-readable medium storing instructions that, when executed, cause the one or more processors to:

receive pre-operative image data comprising one or more pre-operative images of the joint,

determine, based on at least the pre-operative image data, one or more first pose parameters for a first implant component with respect to an anatomical structure of the joint,

obtain, based on at least one of the pre-operative image data and the one or more first pose parameters, one or more second pose parameters for a second implant component with respect to the anatomical structure of the joint,

apply a patient-specific statistical model of joint performance to the surgical plan to identify one or more post-operative performance characteristics of the joint, the patient-specific statistical model comprising one or more transfer functions;

overlay one or more performance data values, associated with the one or more post-operative performance characteristics of the joint, onto a spatially registered graphical representation to generate an enhanced spatially registered graphical representation, the spatially registered graphical representation comprising the first and the second implant components, associated with one or more first and second pose parameters with respect to the anatomical structure of the joint, and the preoperative image data;

project the enhanced spatially registered graphical representation onto a visual field of a user, wherein the enhanced graphical representation is rendered onto a visual interface associated with an augmented reality (AR) headset, wherein the enhanced graphical representation is dynamically updated on the visual interface based on one or more modifications received via the an input device.

19 . The system of claim 18 , wherein the spatially registered graphical representation is constructed by performing a spatial registration of the first and second implant components with respect to the anatomical structure of the joint using one or more fiducial markers and one or more sensors.

20 . The system of claim 19 , wherein the non-transitory, computer-readable medium further stores instructions that, when executed, cause the one or more processors to:

align the enhanced spatially registered graphical representation with a target environment within the visual field of the user using the one or more one or more tracking fiducial markers and the one or more sensors,

identify one or more features of the target environment and generate a 3D model of the target environment using one or more image processing algorithms and an array of camera unit disposed on an augment-reality head mount display (AR-HMD), and

holographically project the enhanced spatially registered graphical representation onto the 3D model of the target environment within the visual field of the user.

21 . The system of claim 20 , wherein the enhanced spatially-registered graphical representation is projected directly onto the target environment.