PATENT CLAIM ANALYSIS

Application Number: 15927856
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["348", "045000"]

Abstract:
Disclosed herein are systems, methods, and structures providing accurate and easy to use size measurement of physiological features identified from endoscopic examination. In sharp contrast to the prior art, systems, methods, and structures according to the present disclosure employ structured light that advantageously enables size and/or distance information about lesions and/or other physiological features in a gastrointestinal (GI) tract. Advantageously, systems, methods, and structures according to the present disclosure are applicable to both capsule endoscopes and insertion endoscopes.

Claim (Index 30):
A method for imaging a body lumen comprising:\n introducing an imaging apparatus into the body lumen; emitting, from the imaging apparatus, non-structured light into the body lumen; detecting, by the imaging apparatus, non-structured light reflected from anatomical features in the body lumen; generating, by the imaging apparatus, one or more non-structured light images from the detected non-structured light; projecting structured light into the body lumen; detecting structured light reflected from the anatomical features in the body lumen; and generating one or more structured light images from the detected structured light.

Metadata:
- Claim Count in Document: 126.0
- Percentile: 90.0
- Lexical Diversity: 1.59649
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12475435', '15883337', '14058036', '14156040', '15669853']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.600237434203972
- 35 USC 102 Novelty (BERT): 0.4743849661071742
- Combined Prediction Score: 0.5876521873942923
- Mean Citation Score: 165.82758599999997
- Max Citation Score: 171.39612
- Similarity Product: 125.07265739904643

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