PATENT CLAIM ANALYSIS

Application Number: 15975544
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["600", "445000"]

Abstract:
A method and apparatus for acquisition of volumetric breast images for screening and/or diagnosing breast cancers using a rotary scanning template and transducer.

Claim (Index 12):
An automated system for imaging a patient's breast with ultrasound, comprising:\n a rotary template and at least one ultrasound transducer integrated therewith and radially extending from a central area of the template; said rotary template having an opening angle of at least 150 degrees or being curved with a radius of curvature of at least 20 cm; a motor configured to rotate the template; a membrane wettable with ultrasound couplant gel and shaped and dimensioned to be at least co-extensive with the template; a mounding mechanism supporting the template and membrane, wherein when the membrane presses chestwardly against the patient's breast with sufficient force, the membrane is in physical contact with the breast and the template and the at least one transducer are in physical contact with the membrane; wherein rotation of the template relative to the membrane and the breast with said motor causes the at least one transducer to scan the breast in a rotary motion and generate a multiplicity of original, two-dimensional (2D) images of breast slices extending along respective radially oriented planes.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 93.0
- Lexical Diversity: 1.14286
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14076989', '14070336', '15716650', '14555408', '13296023']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5337270682108397
- 35 USC 102 Novelty (BERT): 0.5232184171338091
- Combined Prediction Score: 0.5326762031031367
- Mean Citation Score: 338.6410360000001
- Max Citation Score: 369.345
- Similarity Product: 301.26377319753175

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