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 16):
The system of  claim 15 , wherein the centerline model includes data describing a centerline for a main trunk and a centerline for a corresponding branch,\n wherein the trajectory is computed to include a curved path interconnecting the centerline for the main trunk and the centerline for the corresponding branch, and wherein the instructions are further programmed to cause the robotic system to adjust a position of the distal end portion of the steerable medical device to traverse the tubular structure according to the computed trajectory which includes causing the distal end portion of the steerable medical device to travel along the curved path.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 100.0
- Lexical Diversity: 2.2381
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15883626', '12673089', '12542014', '12200075', '14642467']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3192243281402197
- 35 USC 102 Novelty (BERT): 0.5444911123435473
- Combined Prediction Score: 0.3417510065605525
- Mean Citation Score: 249.054142
- Max Citation Score: 379.68262
- Similarity Product: 279.3905559310353

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