PATENT CLAIM ANALYSIS

Application Number: 16511218
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-11
Patent Classification: ["378", "005000"]

Abstract:
The present approaches relates to the use of silicon-based energy-discriminating, photon-counting detectors, such as for use in X-ray based imaging including computed tomography. The described approaches address the resolution and classification of X-ray photons affected by Compton scatter, which may be detected as having energy levels below their proper level due to collision or deflection events.

Claim (Index 13):
A method for resolving X-ray photon count data, comprising:\n acquiring a measured transmitted spectrum for an object by measuring transmission of X-ray photons through the object; determining a high-energy photon count by considering photons above a low-energy/high-energy threshold, and those photons undergoing Compton scattering and resulting in a detected energy above the Compton edge of the low-energy/high-energy threshold and below the Compton edge of the highest energy photon in the X-ray beam; determining a low-energy photon count by considering photons above the Compton edge of the highest energy photon in the X-ray beam and below the low-energy/high-energy threshold; and performing material decomposition using the low-energy photon count and the high-energy photon count to generate a water area density estimate and an iodine area density estimate.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 100.0
- Lexical Diversity: 1.22
- Patent Class: 378.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15400798', '12707076', '12902291', '15450653', '11837328']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7037013023890597
- 35 USC 102 Novelty (BERT): 0.5351073221583523
- Combined Prediction Score: 0.686841904365989
- Mean Citation Score: 343.115962
- Max Citation Score: 465.87555
- Similarity Product: 401.7177846857071

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