IMPLANT DESIGN ANALYSIS SUITE

• US 20110087465A1
• Filed: 08/18/2008
• Published: 04/14/2011
• Est. Priority Date: 08/17/2007
• Status: Active Grant

• Current Assignee: Zimmer Incorporated (Zimmer Biomet Holdings, Inc.)
• Original Assignee: Zimmer Incorporated (Zimmer Biomet Holdings, Inc.)
• Inventors: Mahfouz, Mohamed Rashwan
• Granted Patent: US 8,831,302 B2
• Time in Patent Office: Days
• US Class Current: 703/1
• CPC Class Codes: A61B 2034/104 Modelling the effect of the tool, e.g. the effect of an implanted prosthesis or for predicting the effect of ablation or burring
• CPC Class Codes: A61B 2034/105 Modelling of the patient, e.g. for ligaments or bones
• CPC Class Codes: A61B 2034/107 Visualisation of planned trajectories or target regions
• CPC Class Codes: A61B 2034/108 Computer aided selection or customisation of medical implants or cutting guides
• CPC Class Codes: A61B 2034/256 having a database of accessory information, e.g. including context sensitive help or scientific articles
• CPC Class Codes: A61B 34/10 Computer-aided planning, simulation or modelling of surgical operations
• CPC Class Codes: A61F 2/3094 Designing or manufacturing processes
• CPC Class Codes: A61F 2/4657 Measuring instruments used for implanting artificial joints for surgical instruments A61B90/06
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/53 Querying
• CPC Class Codes: G06F 17/16 Matrix or vector computation , e.g. matrix-matrix or matrix-vector multiplication, matrix factorization matrix transposition G06F7/78
• CPC Class Codes: G06F 18/24 Classification techniques
• CPC Class Codes: G06T 2200/04 involving 3D image data
• CPC Class Codes: G06T 2207/10072 Tomographic images
• CPC Class Codes: G06T 2207/10088 Magnetic resonance imaging [MRI]
• CPC Class Codes: G06T 2207/30008 Bone
• CPC Class Codes: G06T 2207/30052 Implant; Prosthesis
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06T 7/33 using feature-based methods
• CPC Class Codes: G06T 7/35 : using statistical methods
• CPC Class Codes: G06T 7/70 : Determining position or orientation of objects or cameras camera calibration G06T7/80
• CPC Class Codes: G16H 20/40 : relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 50/50 : for simulation or modelling of medical disorders
• CPC Class Codes: G16Z 99/00 : Subject matter not provided for in other main groups of this subclass

Abstract

A method for anatomical analysis and joint implant design. Embodiments provide users with the ability to anatoically analyze a single bone or a series of bones that exist in a database, evaluate surgical landmarks and axes, identify differences among specific characteristics of a given population, and modify existing implants or create new implant designs based on anatomical analyses.

Claims

1. A method to locate and measure surgically relevant anatomic features and propagate these measurements to different populations using a programmable data processing system, comprising the steps of:

(a) using a data input device to provide a programmable data processing system with a base template bone data set and a match bone data set, the base template bone data set and the match bone data set each comprising an image generated by a medical imager;

(b) storing the base template bone data set and the match the bone data set in a database;

(c) establishing a correlation between the at least one surgically relevant anatomic features and/or landmark from the base template bone data set with a corresponding surgically relevant anatomic features and/or landmark from the match bone data set; and

(d) propagating the at least one surgically relevant anatomic features and/or landmark from the base template bone data set across a bone data population using a statistical atlas.

2. The method of claim 1, further comprising the step of transforming the at least one surgically relevant anatomic features and/or landmark propagated into a quantitative implant design specification.

3. The method of claim 1, further comprising the step of analyzing an existing orthopaedic implant using the at least one surgically relevant anatomic features and/or landmark propagated across the bone data population.

4. The method of claim 3, wherein:

the bone data population includes data corresponding to at least two bones; and

the step of analyzing includes analyzing the existing orthopaedic implant across the at least two bones.

5. The method of claim 1, further comprising the step of analyzing a prototype orthopaedic implant using the at least one surgically relevant anatomic features and/or landmark propagated across the bone data population.

6. The method of claim 5, wherein:

the bone data population includes data corresponding to at least two bones; and

the step of analyzing includes analyzing the prototype orthopaedic implant across the at least two bones.

7. The method of claim 4 or claim 6, wherein:

the analyzing step includes iterative analysis across the bone data population.

8. The method of claim 1, further comprising the step of simulating implant placement, virtual resection, and implant manipulation.

9. A method of designing a prosthetic implant, comprising the steps of:

(a) obtaining three dimensional data corresponding to an existing or prototype orthopaedic implant or component thereof;

(b) obtaining three dimensional data corresponding to a same type of bone to provide a population of bone data comprising multiple bones;

(c) associating at least one of the multiple bones from the population with the three dimensional data corresponding to the existing or prototype orthopaedic implant or component thereof to establish a first virtual replacement having a first configuration;

(d) taking the first virtual replacement through a simulated range of movement and recording data;

(e) associating at least another one of the multiple bones from the population with the three dimensional data corresponding to the existing or prototype orthopaedic implant or component thereof to establish a second virtual replacement having a first configuration;

(f) taking the second virtual replacement through a simulated range of movement and recording data; and

(g) comparing the recorded data from the first virtual replacement range of motion to the second virtual replacement range of motion to qualitatively evaluate the an existing or prototype orthopaedic implant or component thereof.

10. A method of designing a prosthetic implant, comprising the steps of:

(a) obtaining three dimensional data corresponding to a first existing or prototype orthopaedic implant or component thereof;

(b) obtaining three dimensional data corresponding to a same type of bone to provide a population of bone data comprising multiple bones;

(c) associating at least one of the multiple bones from the population with the three dimensional data corresponding to the first existing or prototype orthopaedic implant or component thereof to establish a first virtual replacement having a first configuration;

(d) taking the first virtual replacement through a simulated range of movement and recording data;

(e) obtaining three dimensional data corresponding to a second existing or prototype orthopaedic implant or component thereof;

(f) associating at least one of the multiple bones from the population with the three dimensional data corresponding to the second existing or prototype orthopaedic implant or component thereof to establish a second virtual replacement having a first configuration;

(g) taking the second virtual replacement through a simulated range of movement and recording data;

(h) comparing the recorded data from the first virtual replacement range of motion to the second virtual replacement range of motion to qualitatively evaluate the first and second existing or prototype orthopaedic implants or components thereof.

11. A method of organizing a database of bone data, the method comprising:

(a) obtaining three dimensional data corresponding to a same type of bone to provide a population of bone data comprising multiple bones;

(b) associating at least one of a landmark and an axis with each of the multiple bones across the population;

(c) classifying the multiple bones using at least two criteria comprising bone source, physician name, DICOM data, age, sex, bone size, bone length, and ethnicities; and

(d) providing search queries to organize the multiple bones using at least one of the criteria.

12. The method of claim 11, wherein the associating step includes the step of propagating at least one of the landmark and the axis with each of the multiple bones across the population.

13. The method of claim 12, wherein the propagating step includes the step of using a template bone having at least one of the landmark and the axis and correlating the position of at least one of the landmark and the axis of the template bone with the multiple bones so that at least one of the landmark and the axis are consistently identified across the multiple bones.

14. The method of claim 13, wherein the propagating step includes the step of using a statistical bone atlas to correlate the position of at least one of the landmark and the axis of the template bone with the multiple bones.

15. A method of designing an orthopaedic implant, comprising the steps of:

(a) obtaining three dimensional data corresponding to an existing or prototype orthopaedic implant or component thereof;

(b) obtaining three dimensional data corresponding to a same type of bone to provide a population of bone data comprising multiple bones, where each of the multiple bones mimics a bone resurfaced to received the existing or prototype orthopaedic implant or component thereof;

(c) associating, separately, at least two of the multiple bones from the population with the three dimensional data corresponding to the existing or prototype orthopaedic implant or component thereof to establish a virtual replacement;

(d) taking the virtual replacement through a simulated range of movement and recording data to generate statistics throughout the range of movement; and

(e) responsive to the statistics, modifying the existing or prototype orthopaedic implant or component thereof.

16. The method of claim 15, wherein the three dimensional data corresponding to an existing or prototype orthopaedic implant or component thereof is generated by a three dimensional scan orthopaedic implant or component thereof.

17. The method of claim 15, wherein the three dimensional data corresponding to an existing or prototype orthopaedic implant or component thereof is generated by a CAD model of the orthopaedic implant or component thereof.

18. The method of claim 15, wherein the three dimensional data corresponding to the population of bone data is generated at least in part by a three dimensional scan of at least one bone of the multiple bones.

19. The method of claim 15, wherein the three dimensional data corresponding to the population of bone data is generated at least in part from a compilation of two dimensional scans of at least one bone of the multiple bones.

20. The method of claim 15, wherein the three dimensional data corresponding to the population of bone data is generated at least in part from artificial data.

21. The method of claim 15, further comprising the step of associating at least one of a landmark and an axis with each of the multiple bones of the population.

22. The method of claim 21, wherein mimicking the resurfacing of bone across the population occurs subsequent to the step of associating at least one of the landmark and the axis with each of the multiple bones of the population.

23. The method of claim 15, wherein the recorded data includes at least one of contact area of the existing or prototype orthopaedic implant or component thereof.

24. The method of claim 15, wherein the recorded data includes at least one of bone rotation and bone angle.

25. A method of designing an orthopaedic implant, comprising the steps of:

(a) obtaining three dimensional data corresponding to a multi-piece existing or prototype orthopaedic implant;

(b) obtaining three dimensional data sets for a first bone and a second bone cooperating to form a joint;

(c) associating the three dimensional data corresponding to the multi-piece existing or prototype orthopaedic implant with a three dimensional data set for the first bone and the second bone to comprise a virtual joint replacement;

(d) taking the virtual joint replacement through a virtual range of motion and recording kinematic data; and

(e) responsive to the recorded kinematic data, modifying the existing or prototype orthopaedic implant.

26. The method of claim 25, further comprising the step of associating, separately, the three dimensional data corresponding to the multi-piece existing or prototype orthopaedic implant with the remainder of the three dimensional data sets for the first bone and the second bone to comprise multiple joint replacements.

27. The method of claim 26, further comprising the step of taking the multiple joint replacements through a virtual range of motion and recording kinematic data.

28. A method of designing an orthopaedic implant, comprising the steps of:

(a) obtaining three dimensional data sets for a first bone and a second bone cooperating to form a joint of a mammal;

(b) moving the first bone with respect to the second bone through a virtual range of motion of the joint to establish natural kinematic data;

(c) repeating steps (a) and (b) for different animals of the same mammal;

(d) mathematically modeling the natural kinematic data; and

(e) designing a multi-piece existing or prototype orthopaedic implant using the mathematically modeled natural kinematic data.

29. A method of designing an orthopaedic implant, comprising the steps of:

(a) obtaining three dimensional data sets for a first bone cooperating with a second bone to form a joint of a mammal, where the three dimensional data sets include an individual data set for multiple samples of the first bone;

(b) propagating a standard reference point across each individual data set;

(c) obtaining a three dimensional data set for an orthopaedic component adapted to be mounted to the first bone;

(d) virtually mounting the orthopaedic component to the multiple samples of the first bone using the standard reference point to standardize the orthopaedic component across the multiple samples;

(e) moving the first bone with respect to the second bone through a virtual range of motion of the joint to generate kinematic data; and

(f) modifying the design of the orthopaedic implant using the generated kinematic data.

30. The method of claim 29, wherein the three dimensional data sets for the first bone were taken from actual bones of humans grouped on the basis of ethnicity.

31. The method of claim 29, wherein the three dimensional data sets for the first bone were taken from actual bones of humans grouped on the basis of age.

32. The method of claim 29, wherein the three dimensional data sets for the first bone were taken from actual bones of humans grouped on the basis of gender.

33. The method of claim 29, wherein the three dimensional data sets for the first bone were taken from actual bones of humans grouped on the basis of degenerative joint condition.

34. The method of claim 29, wherein the three dimensional data sets for the first bone were taken from actual bones of humans grouped on the basis of size.