PATENT CLAIM ANALYSIS

Application Number: 15928974
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["600", "117000"]

Abstract:
A global registration system and method identifies bronchoscope position without the need for significant bronchoscope maneuvers, technician intervention, or electromagnetic sensors. Virtual bronchoscopy (VB) renderings of a 3D airway tree are obtained including VB views of branch positions within the airway tree. At least one real bronchoscopic (RB) video frame is received from a bronchoscope inserted into the airway tree. An algorithm according to the invention is executed on a computer to identify the several most likely branch positions having a VB view closest to the received RB view, and the 3D position of the bronchoscope within the airway tree is determined in accordance with the branch position identified in the VB view. The preferred embodiment involves a fast local registration search over all the branches in a global airway-bifurcation search space, with the weighted normalized sum of squares distance metric used for finding the best match.

Claim (Index 5):
The system of  claim 1 , wherein the computer is operative to identify an optimum branch position having a VB view closest to each of a plurality of RB views, and wherein the multiple RB views are associated with the same or multiple branch positions within an airway tree.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 90.0
- Lexical Diversity: 1.68421
- Patent Class: 600.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13362252', '12022620', '12866758', '11437229', '11437230']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5217028441006899
- 35 USC 102 Novelty (BERT): 0.5302661504316528
- Combined Prediction Score: 0.5225591747337862
- Mean Citation Score: 281.9834340000001
- Max Citation Score: 390.90073
- Similarity Product: 249.445952411142

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