Back to results
US 12,605,208 B2Granted
Surgery planning system with automated defect quantification
AssigneeMaterialise N.V.
InventorsKatrien Plessers, Filip Jonkergouw, Maarten Zandbergen, Nele Daemen, Janelle Schrot
Life of this patent
Estimating the term…
Abstract
Certain aspects of the present disclosure provide techniques for preparing medical treatment plans, comprising: acquiring medical image data associated with an anatomy of a patient; creating a three-dimensional anatomy model based on the medical image data; fitting a statistical shape model to the three-dimensional anatomy model; determining one or more quantitative measurements based on the fitted statistical shape model; and classifying a defect associated with the anatomy of the patient based on the one or more quantitative measurements.
Claims20
A method, comprising:
- acquiring medical image data associated with an anatomy of a patient;
- creating a three-dimensional anatomy model based on the medical image data;
- fitting a statistical shape model of a statistical healthy anatomy to the three-dimensional anatomy model, wherein the fitted statistical shape model comprises a virtual model of a predicted healthy version of the anatomy of the patient, wherein fitting the statistical shape model to the three-dimensional anatomy model comprises:
- subdividing the statistical shape model into a plurality of topological regions;
- and
- determining a subset of topological regions from the plurality of topological regions to use for fitting the statistical shape model to the three-dimensional anatomy model, wherein determining the subset of topological regions from the plurality of topological regions to use for fitting the statistical shape model to the three-dimensional anatomy model further comprises:
- excluding at least one topological region of the plurality of topological regions based on a fit error exceeding a threshold based on the at least one topological region being included in the subset of topological regions;
- determining one or more quantitative measurements based on the fitted statistical shape model;
- classifying a defect associated with the anatomy of the patient based on the one or more quantitative measurements;
- and
- displaying 1) the virtual model superimposed with the three-dimensional anatomy model;
- and 2) an indication of the classified defect.
9 more elements
A system, comprising:
- at least one memory;
- and
- at least one processor, the at least one processor configured to:
- acquire medical image data associated with an anatomy of a patient;
- create a three-dimensional anatomy model based on the medical image data;
- fit a statistical shape model of a statistical healthy anatomy to the three-dimensional anatomy model, wherein the fitted statistical shape model comprises a virtual model of a predicted healthy version of the anatomy of the patient, wherein to fit the statistical shape model to the three-dimensional anatomy model comprises to:
- subdivide the statistical shape model into a plurality of topological regions;
- and
- determine a subset of topological regions from the plurality of topological regions to use for fitting the statistical shape model to the three-dimensional anatomy model, wherein to determine the subset of topological regions from the plurality of topological regions to use to fit the statistical shape model to the three-dimensional anatomy model further comprises:
- to exclude at least one topological region of the plurality of topological regions based on a fit error exceeding a threshold based on the at least one topological region being included in the subset of topological regions;
- determine one or more quantitative measurements based on the fitted statistical shape model;
- classify a defect associated with the anatomy of the patient based on the one or more quantitative measurements;
- and
- display 1) the virtual model superimposed with the three-dimensional anatomy model;
- and 2) an indication of the classified defect.
12 more elements
A non-transitory computer readable medium comprising instructions, that when executed by a system, cause the system to:
- acquire medical image data associated with an anatomy of a patient;
- create a three-dimensional anatomy model based on the medical image data;
- fit a statistical shape model of a statistical healthy anatomy to the three-dimensional anatomy model, wherein the fitted statistical shape model comprises a virtual model of a predicted healthy version of the anatomy of the patient, wherein to fit the statistical shape model to the three-dimensional anatomy model comprises to:
- subdivide the statistical shape model into a plurality of topological regions;
- and
- determine a subset of topological regions from the plurality of topological regions to use for fitting the statistical shape model to the three-dimensional anatomy model, wherein to determine the subset of topological regions from the plurality of topological regions to use to fit the statistical shape model to the three-dimensional anatomy model further comprises:
- to exclude at least one topological region of the plurality of topological regions based on a fit error exceeding a threshold based on the at least one topological region being included in the subset of topological regions;
- determine one or more quantitative measurements based on the fitted statistical shape model;
- classify a defect associated with the anatomy of the patient based on the one or more quantitative measurements;
- and
- display 1) the virtual model superimposed with the three-dimensional anatomy model;
- and 2) an indication of the classified defect.
9 more elements
Dependencies are inferred from the claim text.