PATENT CLAIM ANALYSIS

Application Number: 15777263
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["600", "424000"]

Abstract:
Ultrasound's value in the neurosurgical operating room is maximized when fused with pre-operative images, The disclosed system enables real-time multimodal image fusion by estimating the ultrasound's pose with use of an image-based registration constrained by sensor measurements and pre-operative image data. Once the ultrasound data is collected and viewed, it can be used to update the pre-operative image, and make changes to the pre-operative plan. If a surgical navigation system is available for integration, the system has the capacity to produce a 3D ultrasound volume, probe-to-tracker calibration, as well as an optical-to-patient registration. This 3D ultrasound volume, and optical-to-patient registration can be updated with conventional deformable registration algorithms and tracked ultrasound data from the surgical navigation system. The system can also enable real-time image-guidance of tools visible under ultrasound by providing context from the registered pre-operative image when said tools are instrumented with sensors to help constrain their pose.

Claim (Index 11):
The method of  claim 1 , wherein the pose estimate is further refined using a statistical method for estimating ultrasound movement from image data.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 93.0
- Lexical Diversity: 1.79121
- Patent Class: 600.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15422683', '15646946', '14769668', '13741610', '14655814']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5388104100514095
- 35 USC 102 Novelty (BERT): 0.5009200673663098
- Combined Prediction Score: 0.5350213757828995
- Mean Citation Score: 255.186614
- Max Citation Score: 272.397
- Similarity Product: 184.14978869354724

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

Dataset: test