PATENT CLAIM ANALYSIS

Application Number: 15973037
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["382", "131000"]

Abstract:
There is provided a method for processing a radiographic image acquired with at least two energy levels. A first step (S 1 ) involves providing energy-resolved image data representative of the radiographic image with at least two energy levels, e.g. from a detector or from an intermediate storage. A second step (S 2 ) involves decomposing the provided image data into at least one basis image representation, based on a model where a combination of at least two basis functions is used to express a representation of at least one linear attenuation coefficient, and where at least one basis function models a physical material and at least one other basis function models the Non-Linear Partial Volume, NLPV, effect.

Claim (Index 18):
A non-transitory computer-readable storage medium carrying a computer program for, when executed, medical imaging based on processing a radiographic x-ray image acquired with at least two energy levels, wherein the computer program comprises instructions, which when executed by at least one processor, cause the processor(s) to:\n provide energy-resolved image data representative of said radiographic x-ray image acquired with at least two energy levels, where it is assumed that x-rays have traversed a volume of materials with different linear attenuation coefficients; and generate at least one image representation for medical imaging by performing basis decomposition of said provided image data into at least one basis image representation by using at least one ordinary basis function modeling a physical material and at least one basis function modeling the Non-Linear Partial Volume, NLPV, effect, which represents the effect where an exponential form of x-ray attenuation makes a measured x-ray transmission a non-linear function of the attenuation coefficients of the materials.

Metadata:
- Claim Count in Document: 33.0
- Percentile: 93.0
- Lexical Diversity: 1.86957
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15302397', '15797072', '15505296', '15200435', '10877019']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3710596773058481
- 35 USC 102 Novelty (BERT): 0.5739189495163705
- Combined Prediction Score: 0.3913456045269003
- Mean Citation Score: 299.50359
- Max Citation Score: 471.14307
- Similarity Product: 408.112369416014

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