PATENT CLAIM ANALYSIS

Application Number: 16414819
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["382", "131000"]

Abstract:
A computer implemented method for determining a centerline of a three-dimensional tubular structure is described. The method includes providing an edge-detected data set of voxels that characterize a boundary of the tubular structure according to a three-dimensional voxel data set for the tubular structure. A gradient field of a distance transformation is computed for the edge-detected dataset. A voxel data set corresponding to a centerline of the tubular structure is computed according to derivative of gradient field. A trajectory within the tubular structure is computed based on the centerline.

Claim (Index 18):
A system, comprising:\n one or more non-transitory media to store image data set for a portion of a patient's anatomy corresponding to a tubular structure; and a model generator comprising instructions stored in the non-transitory media and programmed to generate a centerline model that parameterizes a centerline of the tubular structure, wherein the model generator is programmed to:\n compute a gradient vector field based on a three-dimensional voxel data set that includes voxels in image data for the tubular structure; \n compute a scalar derivative of the voxels in the gradient vector field; \n identify a contiguous set of voxels residing on the centerline of the tubular structure based on an evaluation of the computed scalar derivative, the model generator generating the centerline model from the contiguous set of voxels; \n a trajectory calculator programmed to compute a trajectory through the tubular structure based on the centerline model.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 100.0
- Lexical Diversity: 2.2381
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15883626', '12673089', '12542014', '12200075', '14642467']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2921038483213858
- 35 USC 102 Novelty (BERT): 0.5433504402809105
- Combined Prediction Score: 0.3172285075173383
- Mean Citation Score: 249.054142
- Max Citation Score: 379.68262
- Similarity Product: 351.6083066194928

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test