PATENT CLAIM ANALYSIS

Application Number: 16097631
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["378", "004000"]

Abstract:
The invention proposes to combine spectral image data with non-spectral image data in order to overcome limitations of the different data taking methods. Results from the methods are preferably combined as functions of spatial frequency so that spectral image data provide high accuracy at low frequencies, whereas the non-spectral image data helps reducing the noise at high frequencies. The invention enables a range of applications in different fields of X-ray imaging such as improved tissue contrast and tissue characterization.

Claim (Index 5):
A method for quantitative image data processing, the method comprising the following steps:\n Acquiring spectral image data of an object of interest; Calculating material properties as a function of position from the spectral image data; Acquiring non-spectral image data of the object of interest; Calculating material properties as a function of position from the non-spectral image data; and Combining the material properties calculated from the spectral and from the non-spectral image data as a function of spatial frequency comprising the step of weighting the spectral and the non-spectral image data depending on the spatial frequencies of the image.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.50909
- Patent Class: 378.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15525081', '10877006', '14978460', '15112727', '15326053']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5969779499137523
- 35 USC 102 Novelty (BERT): 0.4614492217639839
- Combined Prediction Score: 0.5834250770987756
- Mean Citation Score: 186.174848
- Max Citation Score: 191.26093
- Similarity Product: 125.42248538962724

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

Dataset: test