Automatic determination of joint load information

US10383591B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10383591-B2
Application numberUS-201715401524-A
CountryUS
Kind codeB2
Filing dateJan 9, 2017
Priority dateJan 11, 2016
Publication dateAug 20, 2019
Grant dateAug 20, 2019

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Abstract

Official abstract text for this publication.

A method is provided for the automatic determination of at least one joint load information item concerning a joint of a patient, wherein at least one image data set of the loaded joint is recorded by an imaging apparatus. Several image data sets of the joint, of which at least one is three-dimensional, are recorded in each case for different loading states by the imaging apparatus. By combined evaluation of the image data sets, the at least one joint load information item is determined.

First claim

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The invention claimed is: 1. A method for automatic determination of at least one joint load information item concerning a joint of a patient, the method comprising: recording a plurality of image data sets of the joint for different loading states by an imaging apparatus, wherein the plurality of image data sets comprises at least one three-dimensional image data set for at least one loading state; reconstructing, using a model-based reconstruction algorithm reproducing a movement taking place on the joint between the different loading states, a three-dimensional combination image data set free of movement artefacts; and determining, by an evaluation of the three-dimensional combination image data set, the at least one joint load information item, wherein the at least one joint load information item comprises a four-dimensional movement data set of the joint, wherein a loading is used as a fourth dimension in addition to three spatial dimensions, wherein the loading varies according to a movement of the patient, and wherein a change in the four-dimensional movement data set of the joint corresponds to a change in the loading. 2. The method of claim 1 , wherein the recording of the at least one three-dimensional image data set comprises a recording in a loading state positioned between a lying state in which the joint is under minimal loading and a standing state in which the joint is under maximal loading, and/or wherein the recording of the plurality of image data sets comprises a recording in the lying state in which the joint is under minimal loading and a recording in the standing state in which the joint is under maximal loading. 3. The method of claim 1 , further comprising: setting the different loading states by tilting of a patient couch about a rotation axis to move the patient between a lying state in which the joint is under minimal loading and a standing state in which the joint is under maximal loading. 4. The method of claim 3 , further comprising: positioning the rotation axis of the patient couch close to a floor at a foot-side end of a supporting surface to which feet of the patient are configured to point. 5. The method of claim 4 , wherein the patient couch is configured such that the foot-side end of the supporting surface terminates with a foot plate, which is perpendicular to the supporting surface and includes a foot rest, wherein a pressure sensor is arranged on the foot plate; and wherein a pressure value measured by the pressure sensor at a time of the recording of the plurality of image data sets is assigned to the respective image data set, stored, and taken into consideration in the evaluation. 6. The method of claim 1 , wherein, in order to generate the four-dimensional movement data set, the plurality of image data sets for the different loading states and/or three-dimensional intermediate data sets derived from the plurality of image data sets for the different loading states are interlinked, connected by interpolation between the different loading states, or interlinked and connected to form a load-continuous movement data set. 7. The method of claim 6 , wherein, when at least one two-dimensional image data set is available for a loading state during the movement of the patient, each three-dimensional image data set of the plurality of image data sets for the different loading states comprises three-dimensional movement information items with respect to each loading state, and wherein the three-dimensional movement information items are determined by rigid 3D-2D registration and are used to generate the three-dimensional intermediate data sets. 8. The method of claim 1 , wherein, during the movement of the patient between two loading states, two-dimensional image data sets are recorded in different recording geometries with respect to the patient, and the four-dimensional movement data set is reconstructed using an algorithm of a model-based reconstruction. 9. The method of claim 8 , wherein the two loading states are a lying state and a standing state. 10. The method of claim 8 , wherein the two-dimensional image data sets are X-ray projection images. 11. The method of claim 1 , wherein the determining of the at least one joint load information item comprises: determining at least one joint parameter describing a geometry of the joint for the different loading states, determining at least one loading parameter describing a profile of the at least one joint parameter with the loading, or a combination thereof. 12. The method of claim 11 , further comprising: determining, as the at least one joint parameter, a shortest distance between at least two joint components of the joint; and/or determining an opening angle between the at least two joint components of the joint. 13. The method of claim 12 , wherein the at least two joint components comprise bones, cartilage structures, or both the bones and the cartilage structures. 14. The method of claim 11 , wherein, in order to determine the at least one joint parameter for the different loading states: (1) at least one landmark of at least one joint component in the plurality of image data sets assigned to the different loading states is identified and located, wherein localization information is included in the determination of the at least one joint parameter, and/or (2) a surface of the at least one joint component is determined by segmentation, wherein the at least one joint parameter is determined via a spatial relationship of surfaces of different joint components, of one surface of a joint component to at least one landmark of another joint component, or a combination thereof. 15. The method of claim 14 , further comprising: determining a joint model based on landmarks, surfaces, joint parameters, or any combination thereof, determined in the at least one three-dimensional image data set, wherein, for a two-dimensional image data set, the at least one joint parameter of the at least one joint component in an instance of the joint model configured to a loading state of the two-dimensional image data set is determined by identification of features, imaged in the model, in the two-dimensional image data set and by comparison of the identified features. 16. The method of claim 11 , the method further comprising: determining base joint parameters for the at least one loading state, in the at least one three-dimensional image data set; and deriving the joint parameters for other loading states from the base joint parameters by locating feature correspondences in the image data sets for the other loading states. 17. The method of claim 16 , wherein the feature correspondences are located by a registration process. 18. The method of claim 11 , wherein a visualization of the at least one three-dimensional image data set is configured using the at least one joint parameter. 19. The method of claim 18 , the method further comprising: determining a plane for a multiplanar reformation, parameters of a three-dimensionally rendered presentation, or the plane for a multiplanar reformation and the parameters of the three-dimensionally rendered presentation based on at least one point defined by the at least one joint parameter, at least one line defined by the at least one joint parameter, the surface defined by the at least one joint parameter, or any combination thereof. 20. An imaging apparatus comprising: a recording unit configured to record a plurality of image data sets of a joint of a patient for different loading

Assignees

Inventors

Classifications

  • for calculating health indices; for individual health risk assessment · CPC title

  • Supports, e.g. tables or beds, for the body or parts of the body · CPC title

  • Stereo images · CPC title

  • A61B6/505Primary

    for diagnosis of bone · CPC title

  • extracting a diagnostic or physiological parameter from medical diagnostic data · CPC title

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What does patent US10383591B2 cover?
A method is provided for the automatic determination of at least one joint load information item concerning a joint of a patient, wherein at least one image data set of the loaded joint is recorded by an imaging apparatus. Several image data sets of the joint, of which at least one is three-dimensional, are recorded in each case for different loading states by the imaging apparatus. By combined…
Who is the assignee on this patent?
Fieselmann Andreas, Jerebko Anna, Siemens Healthcare Gmbh
What technology area does this patent fall under?
Primary CPC classification A61B6/505. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Aug 20 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).