IP Library › Granted Patent US 12,354,737
Granted Patent B2
US 12,354,737 · App. 17/424,564 · Granted Jul 8, 2025

Method for determining a model of an extremity, computer-readable storage medium and system

Inventors: Felix Gundlack (Munich, DE); Max Thalmeier (Munich, DE); Khoi Lam (Munich, DE)
Assignee: Ottobock SE & Co. KGaA
G16H40/63G16H30/20
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Quick Facts
Patent No.
US 12,354,737
App. No.
17/424,564
Granted
Jul 8, 2025
Kind
B2
Abstract

The invention relates to a method for determining a model of an extremity, for providing an individually designed orthosis or prosthesis, the method comprising a step of displaying at least one option for data input by a user, in particular in the form of a patient questionnaire. In a further step, the determination of at least one patient-specific input parameter takes place on the basis of the data input. In one step, the creation of at least one raw model takes place using the at least one input parameter. In a further step, the ascertaining of at least one measured parameter of the raw model and, according to one step, the visualizing, in particular displaying, of the raw model and the at least one measured parameter takes place. Furthermore, the invention relates to a computer-readable storage medium and also a system.

Claims (43)

1. A method for determining a model of an extremity for providing an orthosis or prosthesis for that extremity, having the following steps:

a) displaying at least one option for data input by a user in the form of a patient questionnaire;

b) providing a data input by a user;

c) determining at least one patient-specific input parameter on the basis of the data input;

d) accessing an anatomical database storing a plurality of anatomical data sets, which anatomical data sets are associated with example cases of anatomical values of different patients;

e) determining reference dimensions of a raw model of the extremity for which the orthosis or prosthesis is to be generated with the use of the anatomical data sets and the determined at least one patient-specific input parameter;

f) ascertaining at least one statistically-based characteristic parameter from the anatomical database using the determined at least one patient-specific input parameter as a reference;

g) generating the raw model of the extremity using the ascertained at least one statistically-based characteristic parameter;

h) incorporating statistically ascertainable relationships of anatomical dimensions into a configuration of the raw model;

i) ascertaining a measurement parameter of the raw model, the measurement parameter representing a measurement of a distance between two points on the raw model, or a volume, an area, or a contour in the raw model;

j) displaying the raw model and the measurement parameter;

k) receiving an adjustment of the measurement parameter;

l) modifying the raw model on the basis of the ascertained measurement parameter;

m) iteratively performing steps j) through l) to further adjust the measurement parameter and modify the raw model on the basis of the further adjusted measurement parameter until a stopping condition is met to generate an individualized model of the orthosis or prosthesis; and

n) generating and transmitting instructions for a 3D-printing system or a milling system of a production plant, the instructions causing the 3D-printing system to additively manufacture, or causing the milling system to subtractively manufacture, a shape corresponding to the individual model to create the orthosis or prosthesis from the individualized model.

2. The method according to claim 1 , wherein displaying the raw model comprises displaying an avatar or a plurality of avatars.

3. The method according to claim 1 , wherein ascertaining the measurement parameter comprises:

i1) displaying at least one image or three-dimensional representation,

i2) receiving a data input in the form of a selection by the user of at least one image or at least one three-dimensional representation, and

i3) determining at least one shape parameter on the basis of the selection of the at least one image or the at least one three-dimensional representation; and

wherein generating the raw model comprises using the at least one input parameter and the at least one shape parameter.

4. The method according to claim 3 , wherein the steps i1) to i3) are performed multiple times in order iteratively to generate or refine the raw model using the at least one input parameter and the at least one shape parameter.

5. The method according to claim 1 , further comprising modifying the raw model on the basis of the at least one measured parameter to optimize an outer contour.

6. The method according to claim 1 , wherein-ascertaining the at least one measured parameter of the raw model comprises:

determining a reference plane of the raw model that corresponds to, intersects, or overlaps with the raw model such that the raw model and the reference plane form a common geometry;

linking the raw model to at least one reference point in the reference plane and a dimensioning of a distance between the at least one reference plane and the common geometry.

7. The method according to claim 6 , wherein the reference plane is determined based on three predetermined reference points on the raw model, or is determined by at least one predetermined reference point on the raw model and a predetermined orientation.

8. The method according to claim 1 , wherein the at least one patient-specific input parameter describes an extremity and the at least one raw model describes a surface or a volume of the extremity, or the at least one patient-specific input parameter has at least one patient-specific data input to a demographic information or pathological information.

9. A non-transitory computer-readable storage medium containing instructions for causing at least one processor to, when the instructions are executed by the at least one processor:

a) display at least one option for data input by a user in the form of a patient questionnaire;

b) provide a data input by a user;

c) determine at least one patient-specific input parameter on the basis of the data input;

d) access an anatomical database storing a plurality of anatomical data sets, which anatomical data sets are associated with example cases of anatomical values of different patients;

e) determine reference dimensions of a raw model of the extremity for which the orthosis or prosthesis is to be generated with the use of the anatomical data sets and the determined at least one patient-specific input parameter;

f) ascertain at least one statistically-based characteristic parameter from the anatomical database using the determined at least one patient-specific input parameter as a reference;

g) generate the raw model of the extremity using the ascertained at least one statistically-based characteristic parameter;

h) incorporate statistically ascertainable relationships of anatomical dimensions into a configuration of the raw model;

i) ascertain a measurement parameter of the raw model, the measurement parameter representing a measurement of a distance between two points on the raw model, or a volume, an area, or a contour in the raw model;

j) display the raw model and the measurement parameter;

k) receive an adjustment of the measurement parameter;

l) modify the raw model on the basis of the ascertained measurement parameter;

m) iteratively performing steps k) through 1 ) to further adjust the measurement parameter and modify the raw model on the basis of the further adjusted measurement parameter until a stopping condition is met to generate an individualized model of the orthosis or prosthesis; and

n) generating and transmitting instructions for a 3D-printing system or a milling system of a production plant, the instructions causing the 3D-printing system to additively manufacture, or causing the milling system to subtractively manufacture, a shape corresponding to the individualized model to create the orthosis or prosthesis from the individualized model.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 25, 2024
From: MECURIS GMBH
To: OTTOBOCK SE & CO. KGAA
Reel/Frame 066881/0493 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 21, 2021
From: GUNDLACK, FELIX; LAM, KHOI; THALMEIER, MAX
To: MECURIS GMBH
Reel/Frame 056933/0534 →
Priority Claims (1)
DE 10 2019 101 370.4 · Jan 21, 2019 · national
Continuity (1)
Related Publication 20220076817A1 · Mar 10, 2022
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