IP Library Granted Patent US 12694988
Granted Patent B2
US 12694988 · App. 17/635,162 · Granted Jul 28, 2026

Computer-implemented method for creating a functional form, data processing system and computer-readable medium

Inventors: Khoi Lam (Munich, DE); Max Thalmeier (Munich, DE)
Assignee: Ottobock SE & Co. KGaA
G16H50/50
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Quick Facts
Patent No.
US 12694988
App. No.
17/635,162
Granted
Jul 28, 2026
Kind
B2
Abstract

The invention refers to a computer-implemented method for creating a functional form, in particular as a basis for individually fitting an orthosis or prosthesis to a first patient, comprising the steps of receiving of anatomic structural data (ASD) of the first patient and applying a transfer algorithm to generate functional form data (FFD) for the first patient, whereby the received functional form data (FFD) forms the basis on which an individualized orthosis or prosthesis is manufactured. Furthermore, the invention refers to a data processing system and a computer-readable medium.

Claims (26)

1 . A computer-implemented method for creating a functional form, representing an adapted geometry of a patient's anatomy in order to fit an orthosis or prosthesis to a first patient, comprising the following steps:

a) receiving anatomic structural data of the first patient from a patient scan;

b) applying a transfer algorithm to generate functional form data for the first patient, wherein applying the transfer algorithm comprises:

b1) encoding the anatomic structural data using a first statistical shape model to provide encoded structural data,

b2) using a neural network trained to map the encoded anatomical structural data from the first statistical shape model to structural data compatible with the second statistical shape model to transfer the encoded anatomical structural data to structural data, and

b3) decoding the structural data using a second statistical model to generate the functional form data;

whereby the functional form data forms the basis on which an individualized orthosis or prosthesis is manufactured.

2 . The method according to claim 1 , wherein the encoded structural data produced by the first statistical shape model is of a reduced size as compared to the anatomic structural data.

3 . The method according to claim 1 , wherein the first statistical shape model encodes the anatomic structural data in form of deviations of the anatomic structural data (ASD) of the first patient from anatomic structural data of a limited amount of various patients as comprised by the first statistical shape model.

4 . The method according to claim 3 , wherein the deviations are specified for a predetermined number of characteristic landmark points of an extremity of the first patient.

5 . The method according to claim 1 , wherein the second statistical shape model decodes the structural data of the first patient representing deviations from functional form data of a limited amount of various patients as comprised by the second statistical shape model to provide functional form data for the first patient.

6 . The method according to claim 1 , wherein the transfer algorithm is modified or trained on a basis of the anatomic structural data and functional form data of various patients as comprised by the first statistical shape model and the second statistical shape model such that the transfer algorithm is capable of generating structural data of the first patient being provided to the second statistical shape model.

7 . The method according to claim 1 , wherein step a) comprises scanning of an extremity of the first patient, in particular of a lower leg of the first patient, to provide the anatomic structural data of the first patient.

8 . The method according to claim 1 , further comprising at least one of:

illustrating at least a visualization of a first three-dimensional structure of the anatomic structural data of the first patient, or

illustrating at least a visualization of a second three-dimensional structure of the functional form data of the first patient.

9 . The method according to claim 8 , wherein the visualization of the first three-dimensional structure and the visualization of the second three-dimensional structure are movable relative to each other such that the first and second three-dimensional structures do not overlap each other or at least partially overlap each other.

10 . The method according to claim 8 , wherein, after illustrating the visualization of the first three-dimensional structure and/or of the visualization of the second three-dimensional structure, receiving user input for modifying the visualization of the first three-dimensional structure of the anatomic structural data or the visualization of the three-dimensional structure of the functional form data.

11 . A data processing system comprising:

one or more non-transitory computer-readable mediums storing instructions for carrying out the steps of the method of claim 1 , and

one or more processors configured to execute the instructions.

12 . The data processing system according to claim 11 , wherein the data processing system comprise at least one client and at least one server, whereby the client is capable of sending the anatomic structural data of the first patient to the server and receiving the functional form data of the first patient from the server, and whereby at least one server is capable of:

receiving the anatomic structural data of the first patient from the client,

processing the anatomic structural data of the first patient by at least the transfer algorithm, preferably by the first statistical shape model, the transfer algorithm and the second statistical shape model, to generate functional form data of the first patient, providing functional form data of the first patient to the client.

13 . A non-transitory computer-readable medium comprising instructions which, when executed by a computer, cause the computer to carry out the steps of the method of claim 1 .

14 . The method of claim 1 , further comprising manufacturing the individualized orthosis or prosthesis based on the functional form data.