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AssigneeOttobock SE & Co. Kgaa
InventorMarvin Mouroum
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The invention relates to a method for creating a digital 3D model of a patient's body part, comprising at least one first body part section that is adjacent to at least one articulated second body part section, such that the first body part section can be moved by means of the articulated second body part section, wherein the method comprises the following steps performed by a digital processing device: providing digital, camera-based image data that contains the part of the patient's body to be digitally modelled from different imaging directions, identifying the at least one first body part section from the digital image data provided and creating a first 3D body part section model for the identified first body part section based on the digital image data provided and depth information provided on the identified first body part section, identifying the at least one articulated second body part section from the digital image data provided, and creating the digital 3D model of the body part to be modelled depending on the first 3D body part section model created and the identified articulated second body part section.
A method for creating a digital 3D model of a patient's body part, comprising at least one first body part section (21) that is adjacent to at least one articulated second body part section (22), such that the first body part section (21) can be moved by means of the articulated second body part section (22), wherein the method comprises the following steps performed by a digital processing device (12):
The method according to one of the preceding claims, characterized in that the articulated second body part section (22) is identified as a function of a range of motion of the joint or that the first body part section (21) is identified as a function of a range of motion of a joint adjacent to the first body part section (21) or of the identified articulated second body part section (22).
The method according to one of the preceding claims, characterized in that the body part sections (21, 22) of the body part to be modelled are captured in a joint scanning procedure, wherein the at least one body part section model (31b, 32b, 33b) is created separately.
The method according to one of the preceding claims, characterized in that a machine learning system is provided which has learned a correlation of digital image data as input data with the respective identification of the corresponding body part section (21, 22) as output data, wherein the image data provided is entered into the machine learning system as input data for the purpose of identification and an identification of the corresponding body part section (21, 22) is then obtained as output data.
The method according to one of the preceding claims, characterized in that the digital, camera-based image data are continuously supplied to the digital processing device (12).
The method according to one of the preceding claims, characterized in that, by means of a mobile image sensor, the digital, camera-based image data of the patient's body part to be modelled is recorded and supplied to the digital data processing device (12) in order to create the 3D body part model.
A computer program with program coding means configured to carry out the method according to one of the preceding claims when the computer program is run on a data processing system.
Dependencies are inferred from the claim text.