CN107106104B

CN107106104B - System and method for orthopedic analysis and treatment planning

Info

Publication number: CN107106104B
Application number: CN201680004562.0A
Authority: CN
Inventors: 林淑玉
Original assignee: Advanced Ortho-Med Technology Inc
Current assignee: Advanced Ortho-Med Technology Inc
Priority date: 2015-01-23
Filing date: 2016-01-19
Publication date: 2021-08-24
Anticipated expiration: 2036-01-19
Also published as: WO2016118521A1; CN107106104A

Abstract

The present invention encompasses systems and methods for improving the efficiency of treatment planning for orthopedic disorders. The present invention provides a variety of analytical tools. One such analysis tool allows to design a personalized treatment plan using quantitative measurements of the relevant orthopaedic structure, obtained from a 3D model of the orthopaedic structure constructed using radiographic images of said structure, and information related to the patient. Another analysis tool allows for the design of personalized implant models based on measurements of the patient. The personalized treatment plan and the implant model may be evaluated based on biomechanical analysis by using another analysis tool. The system may use the assessment results to modify and improve the treatment plan and the implant model. A build tool may be used to build the implant model by, for example, 3D printing. The system also has the ability to generate reports for treatment planning.

Description

System and method for orthopedic analysis and treatment planning

Cross Reference to Related Applications

This application claims priority to U.S. provisional patent application No.62107296 filed by the United States Patent and Trademark Office (USPTO) on day 1, 23, 2015.

Background

Orthopedic treatment requires a large number of pre-treatment plans, both for surgical and non-surgical treatments. The invention disclosed herein automates the precise treatment planning process by taking into account the personalization steps of each individual patient's orthopedic profile and other relevant information. It provides the physician with a set of solutions that includes all. The invention has been implemented using patient information from different sources in conjunction with 3D printing to facilitate patient/physician education and understanding, as well as to provide accurate treatment solutions for better patient care. For optimal clinical workflow, the system streamlines all aspects of orthopedic care: diagnosis, treatment planning and assessment, pre-surgical planning, and post-treatment follow-up and assessment.

Disclosure of Invention

The invention, in one form thereof, is a system for planning an orthopedic treatment. One basic embodiment of such a system comprises two main components: a modeling module that constructs a 3D model of the body segment associated with the planned treatment from the radiographic images; and an analysis module comprising the following analysis tools: (1) an interactive visualization tool that allows a user of the system to visualize and edit the 3D model, (2) a quantification tool for obtaining measurements of the 3D model related to the treatment, (3) a planning tool for generating a personalized surgical plan based on the measurements, and (4) an evaluation tool for evaluating the surgical plan using one or more biomechanical analyses. In this basic embodiment of the invention, the planning tool allows the surgical plan to be modified using the output of the assessment tool.

In another embodiment, the system comprises: an implant design tool for designing an implant model based on measurements obtained from a 3D model of a patient; an assessment tool that allows assessment of the implant model using one or more biomechanical analyses; and a planning tool that allows the implant model to be modified using the output of the evaluation tool.

One embodiment of the invention includes an assessment tool for non-surgical treatment assessment and post-treatment assessment. The system may also include other analytical tools, including: (1) a diagnostic tool that gives an orthopedic diagnosis based on radiographic images and other relevant information according to predefined criteria, and (2) a construction tool that allows a physical object to be constructed based on a 3D model or implant model of a patient.

The system may also include a disease module that allows a user to select a predefined workflow for a particular orthopedic disease, the predefined workflow automatically invoking one or more analysis tools in a predefined order appropriate to a treatment plan for the disease.

The invention also encompasses various methods for computer-assisted treatment planning of orthopedic disorders, as well as many other variations not covered in this summary. The exact scope of the invention is set forth in the claims.

Drawings

FIG. 1 depicts a high level system architecture of one embodiment of the present invention.

FIG. 2 shows one form of embodiment of an acquisition component for use with the present invention.

FIG. 3 illustrates exemplary components of the 3D modeling functionality of the present invention.

FIG. 4 illustrates a disease type thread and an analysis function thread in accordance with an embodiment of the present invention.

FIG. 5 illustrates exemplary portions of the visualization component of the present invention, interactive visualization 320.

Fig. 6 illustrates exemplary portions of one embodiment of a surgical planning component of the present invention, pre-surgical plan 330.

FIG. 7 illustrates exemplary portions of one embodiment of an evaluation component of the present invention, biomechanical analysis 340.

Fig. 8 illustrates exemplary portions of one embodiment of an implant design component of the present invention, personalization 350.

FIG. 9 illustrates exemplary portions of one embodiment of a building element of the invention, 3D printing 360.

FIG. 10 illustrates exemplary portions of an output component of the present invention.

Fig. 11 illustrates one embodiment of the present invention.

Detailed Description

The present invention is an interactive quantitative analysis system that provides an orthopaedic physician with an automated or semi-automated tool for presenting (render) patient specific treatment decisions and solutions. System 100 in fig. 1 illustrates one embodiment of components for use in the present invention. The system consists of an acquisition module 110 for acquiring orthopedic images, an archive module 120, and a patient record module 130 for processing patient input information for further processing. Preprocessing of the input information is accomplished by the relevant input information module 140, the radiographic image module 150, and the modeling module 160. The personalized decision and treatment solution is based on the user selection module 170 from one of two threads (disease type thread 173 and analysis function thread 175). The output is generated from the output 180 mechanism and reporting module 190.

The user may select an orthopedic disease, for example, from the disease type thread 173 to open an interactive workflow based on the disease type, which has been developed to ensure an optimal clinical workflow. Each disease type selection typically corresponds to a workflow stored in a workflow library. The predefined workflow automatically invokes one or more analysis functions or tools in the analysis module in an order appropriate for the disease. Alternatively, the user may select a function or tool from the analysis function thread 175 to perform a particular analysis for different types of diseases. The physician can choose from either thread to arrive at personalized decisions and treatment solutions for the patient. The output 180 can be utilized by a physician to assist the physician/patient in teaching and understanding, as well as to facilitate an accurate treatment solution. The reporting module 190 will use the archive 120 and patient record 130 mechanisms to generate reports and archive data. The reporting function may also be designed as a tool for the analysis module.

FIG. 2 illustrates a schematic diagram depicting one exemplary embodiment of a general method for accessing and retrieving patient information from different sources for further processing. This embodiment consists of three main components: acquisition 110, archiving 120, and patient recording 130. Acquisition 110 is the acquisition of patient input data for further processing. Patient input data, such as medical images, are acquired from different acquisition modalities, including, but not limited to, X-ray, CT, MR imaging, functional MRI, perfusion MRI, bone density measurement, and Electromyography (EMG). Patient data may also be retrieved from an archive or other database. Archive 120 may include internet cloud 123 storage, local offline archive 125, and/or Picture Archiving and Communication System (PACS)127, where patient radiographic information may be retrieved and archived for analysis. Physicians may also use data from the internet cloud 123 to conduct collaborative studies. The patient record module 130 may include a number of patient record systems including, for example, a Hospital Information System (HIS)133, an Electronic Medical Record (EMR)135, a Radiology Information System (RIS)137, and/or a Laboratory Information System (LIS) 139. Patient clinical data may be retrieved from one or more of these databases to assist in the analysis process. An input device, such as a barcode reader 131, may be used to facilitate the data retrieval process. The acquisition module may also facilitate the storage of new patient data (e.g., personalized 3D models or implant models) generated by the system back to the patient database.

FIG. 3 illustrates an exemplary embodiment for modeling module 160. The modeling module creates a 3D digital model 270 for the selected bone structure. The term "3D model" is used in this patent to refer to a 3D digital model, computer model or virtual model of an orthopedic structure, unless otherwise indicated. The 3D model may be automatically created using module auto model process 210. For this purpose, the system automatically segments and labels the 3D model based on radiographic images of the patient. Here, "segmentation" means a process of dividing a 2D image into different regions by delineating or outlining a region of interest (ROI) of a 3D model. "labeling" means labeling regions delineating different parts of the structure forming the 3D model. There are many different segmentation algorithms for the purposes of the present invention, including, for example, thresholding, region growing methods, clustering algorithms, edge detection, and model-based segmentation. The marking is achieved by connected-component analysis (connected-component analysis) using different optimization techniques.

The 3D model may also be created semi-automatically by using a modular semi-automatic model process 230, which modular semi-automatic model process 230 allows the user to select a ROI for automatic segmentation or to manually segment the 2D image (by means of the system). For example, the system may project a 2D image onto a touch screen, and the user may visually outline the bone segment using a stylus (stylus). After the system completes the segmentation, the user may manually or automatically label the segmentation of the 3D model.

The 3D model so generated may be edited manually using tools from interactive model process 250 and the modular 3D model, if necessary or desired. An interactive model processing module is provided to the user to ensure that the built model is realistic and accurate. The module includes a set of editing tools for manual editing to refine the 3D model in a real-time interactive environment. This is achieved through interaction between the interactive model processing module and the 3D model 270, where the 3D model displays the edited 3D model in real time. The process may continue iteratively until a satisfactory result is achieved.

The interactive model processing module allows editing of 3D models in 2D, 3D or higher dimensional space. There are a variety of different editing tools, including, for example, but not limited to, tools for adding or removing contours, tools for connecting or disconnecting contours, tools for editing points on contours, tools for automatically propagating curves, tools for smoothing curves, and tools for manual marking.

The user selection module 170 of fig. 1 is an important workflow direction module. FIG. 4 illustrates various exemplary components of a module that a user (i.e., a physician or clinician) may select to perform various clinical workflows. The disease type thread 173 consists of several predetermined clinical workflows, each designed for one specific disease, from orthopedic disease 1 to orthopedic disease N, providing personalized treatment solutions for the patient. Examples of orthopedic disorders include, but are not limited to, osteonecrosis, osteoarthritis, various types of fractures, and scoliosis. The predetermined clinical workflow may include one or more analysis functions from the analysis function thread 175 and other customized functions specific to the disease. The analysis function thread enables the physician to select from a series of specific analysis tools including, but not limited to, diagnosis 310, interactive visualization 320, pre-surgical planning 330, biomechanical analysis 340,

personalization

350 and 3D printing 360, which can be applied to patient information to perform certain analysis function(s) for certain patient data or certain disease conditions.

Diagnostic tool 310 in fig. 4 is a 2D diagnostic tool for detecting and distinguishing orthopedic abnormalities associated with a variety of diseases. Such a diagnosis is based on the imaging data of the patient retrieved from the radiographic image 150, with or without other clinical data from the relevant input information 140. Various types of technical tools are used to detect and highlight diseased regions of bone tissue, referred to as "prominent regions". Examples of such technical tools include artificial intelligence algorithms, such as artificial neural networks for computer vision, machine learning, and statistical pattern recognition and digital image processing. These techniques are employed to extract the characteristics and features of significant regions associated with bone disease for diagnosis. The diagnostic tool may use the entire image or a selected ROI from the image. The salient region may be permanently saved in the archive 120 and/or the patient record 130; and may be used for future machine diagnosis after approval by the physician as a disease-related abnormality.

For diagnostic purposes, a number of characteristics of the salient region can be analyzed, such as (1) quantitative measurements, (2) texture descriptors, (3) anatomical space descriptors, and (4) other domain-specific information descriptors. Quantitative measurements are a quantifiable set of features (such as size, shape, density, and various statistics of such measurements) that can be used to assess the presence or extent of bone abnormalities. Texture descriptors characterize the homogeneity of a region that can be used as a diagnostic indicator (e.g., degradation or hardening). The anatomical space descriptor may be used to indicate the exact relative position of the anatomical structure. For example, osteonecrosis treatment varies with location, and the size and location of necrotic lesions are important factors used to predict femoral head collapse at an early stage of the disease.

The interactive visualization tool 320 in fig. 4 allows a user to perform real-time interactive visualization and editing of 3D models and/or 2D images. An exemplary embodiment for an interactive visualization tool is illustrated in fig. 5. It comprises a manipulation module 470, which manipulation module 470 allows visualization and manipulation of the 2D image and various 3D models retrieved from the radiographic image 150, such as a model 410 giving a 3D surface, a 3D anatomical model 430 and a model 450 giving a 3D volume. It also allows the user to associate 3D models with 2D images. The interactive model editing module 490 also allows editing of the 3D model, if desired, for a variety of purposes.

Surgical planning is an important aspect of the present invention, one embodiment of which is the pre-surgical planning tool 330 of fig. 4. The pre-surgical plan 330 is a platform for real-time interactive pre-surgical planning. Fig. 6 illustrates an exemplary embodiment of the pre-surgical planning module 330 including modeling 160, quantification 500, automated planning 510, interactive personalized planning 520, and biomechanical analysis 340.

An important aspect of surgical planning is obtaining a specific quantitative measurement of the patient for whom the surgery is being planned. For this purpose, in one embodiment as shown in fig. 6, the surgical planning module contains a quantitative tool 500, which quantitative tool 500 extracts the quantitative measurements required for the surgical procedure from the 3D model generated by the modeling 160 for the patient. In other embodiments, such a quantification tool may be a stand-alone tool that may be utilized by the surgical planning and other tools. The quantitative measurements and the 3D model are then used for automated planning 510. The automated plan 510 generates a pre-surgical plan according to a standard care protocol. The interactive personalized plan 520 provides the user with an interactive editing tool to modify the pre-surgical plan to a more accurate personalized pre-surgical plan based on patient specific data. The biomechanical analysis 340 will provide an assessment for pre-surgical planning. This enables THE physician to assess THE accuracy of THE surgery, for example THE stability criteria of THE tee surgery (see below).

The automated planning tool 510 in FIG. 6 is a planning tool based on the 3D model created by the modeling module 160 and the quantitative measurements extracted by the quantifier 500. The automated planning tool 510 then automatically generates a pre-surgical plan according to the standard care protocol. For example, in one particular embodiment for Total Hip Replacement (THR) surgery, an exact match between the implant and the patient's anatomy is required in terms of the type and size of the implant, the positioning and orientation of the components, and the leg length and other dimensional measurements of the patient. For THR surgery, the automated plan 510 takes a 3D model of the patient's hip and leg from the modeling 160 and extracts the relevant quantitative measurements of the patient based on the 3D model. THE automated planning tool then generates a pre-surgical plan for THR using THE standard he protocol, THE pre-surgical plan including a standard implant model and a surgical procedure. The physician user of the system then reviews the pre-surgical plan using the interactive personalized plan 520 and edits the pre-surgical plan if necessary to generate an accurate and personalized pre-surgical plan for the patient. Accurate personalized preoperative planning, particularly implant models, are then simulated and tested using biomechanical analysis 340. The biomechanical analysis tool may generate modification recommendations for pre-surgical planning based on biomechanical tests. The interactive personalized plan 520 may use feedback from the biomechanical analysis 340 to further modify the personalized pre-surgical plan.

The biomechanical analysis tool 340 of fig. 4 is one embodiment of an assessment tool that assesses the reliability (soundness) of the treatment plans (including implant designs) generated by the system. The types of analysis employed by biomechanical analysis 340 may include orthopedic stress analysis of bone structures/prosthetic structures, orthopedic fixation devices, and other tissues. Fig. 7 illustrates an exemplary embodiment for biomechanical analysis 340. The numerical analysis 610 functions may include Finite Element Analysis (FEA) to assess structural stability of the bony anatomy where the stress distribution is used to compare with material properties of the bone, and other functions. Different numerical analysis methods were used to assess the structural integrity of the orthopedic implant. For example, analysis of stress and displacement distribution of hip implants is used to assess the integrity of the THR surgical plan. The results of the analysis of the numerical analysis 610 may be used to assist in surgical and non-surgical treatment of the patient. The numerical analysis model library 630 is a library that stores reference models (e.g., FEA reference models) to provide real-time analysis and evaluation for pre-surgical planning and personalized implant design. Non-surgical treatment assessment 650 uses the assessment results to assist in the non-surgical treatment planning. For example, based on the 3D model of the patient, the physician uses FEA analysis to assess the condition of the patient and, based on the results, decide on the appropriate non-surgical treatment and follow-up before and after the treatment assessment with post-treatment assessment 690. For example, FEA stress and displacement distribution of necrotic regions can be used to predict femoral head collapse in early stages of osteonecrosis, and thus it can be used to assist in non-surgical treatments such as drug therapy, joint weight reduction, range exercise, and electrical stimulation. The pre-surgical plan evaluation 670 provides interactive analysis to ensure stability criteria for the pre-surgical plan from the pre-surgical plan 330 and the reference models from the numerical analysis model library 630 to enable real-time analysis and evaluation. For example, proper positioning of the acetabular cup ensures implant stability, as well as bearing surface wear and life. Post-treatment evaluation 690 provides pre-treatment and post-treatment evaluation for non-surgical and surgical treatments. This is to provide an assessment for follow-up to monitor the progress of the treatment outcome.

The analysis module of the present invention may include an implant design tool for designing 3D models of personalized implants and surgical accessories, such as guide plates. The personalization tool 350 in fig. 4 is one form of embodiment of a personalized implant design tool. For convenience, unless otherwise indicated, the word "implant" is used broadly in the written description and claims of this patent to encompass implants, molds for implants, surgical attachments (such as guide plates) for implants, and molds for such surgical attachments.

Based on biomechanical simulations and tests, the assessment tool discussed above may be used to assess an implant model designed by an implant design tool to ensure that the assessment tool meets qualification requirements of the implant. The evaluation results for the implant model may be fed back to the implant design tool to improve the implant model. The biomechanical analysis tool also serves as an evaluation of a qualification process for personalizing implant designs to meet required criteria for the implant.

Fig. 8 illustrates some exemplary components of personalization 350. Personalization 350 designs a personalized implant model by modeling the 3D model generated by 160. Personalization 350 may include standard implant selection 710, personalized implant design 730, personalized qualification process 750, customized/personalized implant model 770, and customized/personalized guide plate model 790. The standard implant selection 710 uses the patient-specific 3D model to select the most closely matching standard implant model. The physician user of the system then examines the standard implant model using the personalized implant design 730 and edits the standard implant model if necessary to generate an accurate and personalized implant model for the patient. The custom/personalized implant model 770 generates a custom/personalized implant model and/or a mold thereof for 3D printing. The customized/personalized guide plate model 790 allows a user to create a guide plate model (or a mold thereof) for 3D printing to be used during a surgical procedure.

In a specific embodiment, the process for generating a customized/personalized implant model comprises the steps of: based on the type of surgery, the standard implant selection 710 automatically selects the most closely matching standard implant; providing a set of editing tools to modify the standard implant to generate a customized/personalized implant model that best fits the 3D model of the particular patient via the personalized implant design 730; the customized/personalized implant model that meets the standard implant requirements is verified by the personalization qualification process 750. Based on test results generated from tests (such as biomechanical tests or other demanding tests), the qualification process may generate modification recommendations for personalizing the implant design. The personalized implant design 730 may use feedback from the test results to further modify the personalized implant design. Examples of implants include, for example, joint surgical implants, prostheses, pins, rods, screws, and plates.

In another embodiment, a process for generating a customized/personalized guide plate model comprises the steps of: selecting an ROI for the surgical procedure; automatically generating a 3D template model from the 3D model of the patient; providing a set of editing tools to incorporate the pre-surgical plan from the pre-surgical plan 330 into the 3D template to generate a customized/personalized guide plate via the personalized implant design 730; the customized/personalized guide plate model that meets the stability requirements is verified by the personalized qualification process 750. For convenience, unless otherwise noted, when a patent uses the word "personalized" to refer to a 3D model, implant model, or treatment plan, this means that such 3D model, implant model, or treatment plan is a custom (custom) designed for a patient using the patient's own radiographic image and other relevant information. Based on test results generated by tests (such as biomechanical tests or other demanding tests), the qualification process may generate modification recommendations for personalized guide plate designs. The personalized implant design 730 may use feedback from the test results to further modify the personalized guide plate design. Examples of guide plates include guide plates for pedicle screw placement, where the positioning and angle of the screws are from pre-surgical planning 330.

The 3D printing module 360 is one embodiment of a physical build tool responsible for building a physical model corresponding to the virtual model generated by the personalization 350. Fig. 9 illustrates exemplary components for 3D printing 360, where the 3D printer is used to produce a customized/personalized implant 810, a customized/personalized implant mold 830, a customized/personalized guide plate mold 850, and/or a 3D model mold 870 for use before, during, or after treatment. Other embodiments for the physical build function may include Computerized Numerical Control (CNC) machining and injection molding.

Fig. 10 illustrates various embodiments of a 2D, 3D output 180. The 2D 181 provides an output in the form of a number 182 and/or a hard copy 183. 3D 184 includes, but is not limited to: 3D display with/without 3D glasses 185, google glasses 186, virtual display 187,

tactile display

188, and 3D printed model 189. The 2D and 3D outputs may be displayed on hardware including, but not limited to: monitor display 190, tablet/cell phone 191, smart device 192. The 3D glasses 185 and google glasses 186 are merely examples of wearable technologies that may be deployed for the display module of the present invention.

FIG. 11 illustrates overall operation of the system according to one embodiment of the invention. It begins with the physician selecting a particular disease from the user selection thread 170. The physician ensures the accuracy of the 3D model through interactive visualization 320 and prints 3D model mold 870 if necessary. The diagnosis is performed via diagnosis 310 and/or combined with 3D model 870 for treatment planning. It illustrates how the system decides whether a surgical operation is required based on different diagnostic stages. For early stages, stage 1910, stage 2915, and some stage 3920 where surgery is not required, the system further analyzes the condition using biomechanical analysis 340, and the physician may propose a target treatment 935 and follow up with a treatment follow-up 940 based on the assessment. There may be several trails before the treatment is completed. When surgery is required, the physician evaluates the fit of the implant based on user-specific criteria using pre-surgical planning 330 for pre-surgical planning and personalization 350 and subsequent biomechanical analysis 340 for personalized implants and/or personalized guide plates. The 3D printing 360 mechanism utilizes the personalized model from the personalization 350 for printing the customized/personalized implant 810 and/or customized/personalized guide plate mold 850 necessary for the surgical procedure 945. The post-surgical follow-up 950 may involve evaluation using the biomechanical analysis 340. If revision surgery is required after the post-surgical follow-up 950, the procedure is repeated again.

The above description is only exemplary of the invention. All of the functional modules described above may be implemented by commonly utilized software techniques or hardware techniques, or a combination thereof, within the knowledge of one of ordinary skill in the art.

Claims

1. A system for planning an orthopedic treatment, comprising:

a. a modeling module that constructs a treatment-related 3D model of a body segment of a patient based on radiographic images of the body segment; and

b. an analysis module comprising the following predefined analysis tools:

i. an interactive visualization tool that allows a user of the system to visualize and edit the 3D model,

a quantification means for obtaining measurements of the 3D model relating to a treatment,

a planning tool for generating a surgical plan in view of the measurements and other information relevant to the patient,

an evaluation tool for evaluating the surgical plan using biomechanical analysis, and

v. a diagnostic tool giving an orthopaedic diagnosis according to predefined criteria based on said radiographic image;

wherein the planning tool allows the surgical plan to be modified using the output of the assessment tool, and wherein the system decides whether a surgical procedure is required based on the diagnostic stage of the orthopaedic diagnosis, the assessment tool being used for non-surgical treatment assessment using biomechanical analysis when a surgical procedure is not required;

wherein the assessment tool comprises:

a numerical analysis module for performing a biomechanical analysis;

a numerical analysis model library storing reference models; and

a non-surgical therapy module that determines an appropriate non-surgical therapy based on results of the biomechanical analysis of the patient.

2. The system according to claim 1, wherein the analysis module further comprises an implant design tool for generating an implant model in view of said measurements, and wherein the evaluation tool further allows evaluation of the implant model using biomechanical analysis, and the planning tool further allows modification of the implant model using the output of the evaluation tool.

3. The system of claim 2, wherein the assessment tool further allows post-treatment assessment.

4. The system of claim 2, wherein the analysis module further comprises the following analysis tools:

a build tool that allows a physical object to be built based on a model.

5. The system of claim 4, further comprising a disease module containing a plurality of predefined workflows designated for a particular orthopedic disease, the disease module allowing a user to select a disease, automatically invoking a predefined workflow containing one or more of the analysis tools in an appropriate order for treatment planning of the disease.

6. The system of claim 1, wherein the surgical plan can also be modified manually by user input.

7. The system of claim 2, wherein the implant model is further capable of being modified manually by user input.

8. The system of claim 1, further comprising an acquisition module that acquires the radiographic image by an image acquisition device or by retrieving an image from a patient database.

9. The system of claim 1, wherein the modeling module allows for storing of 3D models for patients into a patient database and further allows for retrieving of 3D models from the patient database.

10. The system of claim 1, further comprising an associated input module that retrieves from a patient database associated patient information to be used by the analysis module.

11. The system of claim 5, further comprising a reporting module that generates reports based on results of operations of the system.

12. The system of claim 1, further comprising:

c. an acquisition module for acquiring a radiographic image of a patient related to a disease, an

d. A detection module for detecting a significant region of the patient's associated bone structure using an artificial intelligence algorithm,

wherein the analysis module is to extract bone features associated with orthopedic disorders from the significant region.

13. The system of claim 1, further comprising:

a personalization module that allows the generation of a personalized 3D model or a personalized implant model,

an evaluation module for evaluating the 3D model or the implant model using biomechanical analysis, wherein the personalization module is capable of modifying the 3D model or the implant model using results of the evaluation module, and

and the output module is used for displaying the results of the personalization module and the evaluation module.

14. The system of claim 13, wherein the output module utilizes a wearable display.

15. A system for planning an orthopedic treatment, comprising:

a. an analysis module comprising the following analysis tools:

i. an interactive visualization tool allowing a user of the system to visualize and edit a 3D model of the patient's orthopaedic structure,

a quantification tool for obtaining measurements of the 3D model,

a planning tool for generating a personalized surgical plan,

an evaluation tool for evaluating the surgical plan using biomechanical analysis,

v. an implant design tool for generating a personalized implant model,

an evaluation module for evaluating the implant model using biomechanical analysis, an

A diagnostic tool;

b. a disease module that allows a user to select a disease, automatically invoking a predefined workflow corresponding to said disease containing one or more of said analysis tools in an appropriate order; and

c. an acquisition module for acquiring a radiographic image of a patient related to a disease;

wherein the diagnostic tool gives an orthopaedic diagnosis according to predefined criteria based on the radiographic image, and wherein the system decides whether a surgical procedure is required based on the diagnostic stage of the orthopaedic diagnosis, when a surgical procedure is not required, the assessment tool is used for non-surgical treatment assessment using biomechanical analysis;

wherein the assessment tool comprises:

a numerical analysis module for performing a biomechanical analysis;

a numerical analysis model library storing reference models; and

16. The system according to claim 15, wherein the analysis module further comprises a construction tool allowing to construct the physical object from the 3D model or the implant model.

17. The system of claim 16, further comprising a reporting tool that can be automatically invoked as part of a predefined workflow.

18. The system according to claim 15, wherein the implant design tool generates the implant model in view of a 3D model of the patient's associated orthopedic structure.

19. The system according to claim 15, wherein the planning tool comprises a surgical planning module that generates a pre-surgical plan for implant surgery in view of the 3D model and patient related information.

20. The system of claim 19, wherein the evaluation module further allows evaluation of the pre-surgical plan, and the surgical planning module further allows modification of the pre-surgical plan using results of the evaluation module.

21. The system according to claim 15, wherein the implant design tool generates the implant model in view of quantitative measurements of the 3D model.

22. The system according to claim 15, wherein the evaluation module includes a library of numerical analysis models that enable numerical evaluation of the implant model.

23. The system of claim 15, further comprising:

the analysis module is used to extract bone features associated with orthopedic disorders from the significant region.

24. The system of claim 15, further comprising:

a personalization module allowing to generate a personalized 3D model or a personalized implant model, wherein the personalization module is able to modify the 3D model or the implant model using the result of the evaluation module, an

25. The system of claim 24, wherein the output module utilizes a wearable display.