PATENT CLAIM ANALYSIS

Application Number: 16163316
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["382", "128000"]

Abstract:
Systems, devices, and methods are described for providing patient anatomy models with indications of model accuracy included with the model. Accuracy is determined, for example, by analyzing gradients at tissue boundaries or by analyzing tissue surface curvature in a three-dimensional anatomy model. The determined accuracy is graphically provided to an operator along with the patient model. The overlaid accuracy indications facilitate the operator's understanding of the model, for example by showing areas of the model that may deviate from the modeled patient's actual anatomy.

Claim (Index 24):
A method for assessing the accuracy of a three-dimensional bone surface model, the method comprising:\n creating the three-dimensional bone surface model of a portion of a patient's bone from imaging data; co-registering the three-dimensional bone surface model with the imaging data; for each of a plurality of first points along a surface of the three-dimensional bone surface model, calculating a first signal intensity gradient between the first point and a second point spaced from the surface along a line that is normal to the surface and intersects the first point, wherein the first signal intensity gradient is calculated based on a difference between a first signal intensity value of the imaging data at the first point and second signal intensity value of the imaging data at the second point; determining whether a number of first signal intensity gradients that exceed a first threshold exceeds a second threshold; and repeating the creating, co-registering, calculating, and determining operations if the number of first signal intensity gradients that exceed the first threshold does not exceed the second threshold.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 1.72727
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15124979', '15689191', '15277328', '13978919', '14270326']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.268822167348959
- 35 USC 102 Novelty (BERT): 0.5894517059133729
- Combined Prediction Score: 0.3008851212054004
- Mean Citation Score: 251.53699800000004
- Max Citation Score: 478.33862
- Similarity Product: 456.3703670364535

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test