PATENT CLAIM ANALYSIS

Application Number: 15958255
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["345", "424000"]

Abstract:
Systems and methods are provided for generating a visualization of a lung fissure. Medical imaging data is processed to identify a lung mesh and fissures data. The lung mesh is augmented with the fissures data and projected onto a straight plane for rendering into a concise two-dimensional image in which completeness of the lung fissure may be detected.

Claim (Index 1):
A method for generating a visualization of a lung fissure, the method comprising:\n acquiring, by a medical image scanner, medical imaging data representing at least two adjacent lobes of a lung; generating, by an image processor, a mesh of a boundary between at least two adjacent lobes from the medical imaging data, the mesh comprising a plurality of mesh voxels; identifying, by the image processor, in the medical imaging data, fissure image data representing the lung fissure between the two adjacent lung lobes; augmenting, by the image processor, the mesh with the identified fissure image data; projecting, by the image processor, the augmented mesh onto a plane; generating, by the image processor, a two-dimensional image of the projected augmented mesh; and providing, on a display, the two-dimensional image to a user.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 91.0
- Lexical Diversity: 1.4878
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14643935', '11566323', '10793669', '14690391', '13804542']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6600857000011077
- 35 USC 102 Novelty (BERT): 0.5021534001550993
- Combined Prediction Score: 0.6442924700165069
- Mean Citation Score: 251.891674
- Max Citation Score: 273.45627
- Similarity Product: 204.770259440732

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