PATENT CLAIM ANALYSIS

Application Number: 15891835
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["324", "309000"]

Abstract:
In a method and apparatus for determining the fat content of the liver of a patient using measured spectral magnetic resonance data, wherein a first contribution to the spectral magnetic resonance data is based on fat, a second contribution to the spectral magnetic resonance data is based on water and on a further substance, a frequency range that forms the basis of the spectral magnetic resonance data is subdivided at least into a first subrange and into a second subrange, the second contribution is approximated using the spectral magnetic resonance data from the second subrange. The first contribution is determined taking into account the spectral magnetic resonance data and the approximation of the second contribution. The fat content is determined on the basis of the first contribution.

Claim (Index 12):
A non-transitory, computer-readable data storage medium encoded with programming instructions, said storage medium being loaded into a computer system having magnetic resonance (MR) apparatus, and said programming instructions causing said computer system to:\n receive spectral MR data acquired from the liver of a patient, said spectral MR data comprising a first contribution to the spectral MR data based on fat, and a second contribution to the spectral MR data based on water and a further substance; subdivide a frequency range of the spectral MR data into at least a first subrange and a second subrange; approximate the second contribution using the spectral MR data from the second subrange; determine the first contribution dependent on the spectral MR data and the approximation of the second contribution; determine the fat content of the liver of the patient from said first contribution; and generate an electronic signal representing said fat content and make said electronic signal available as an output from the computer.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 88.0
- Lexical Diversity: 2.73469
- Patent Class: 324.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15154015', '12761231', '13990089', '14731767', '13400343']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5613027154266086
- 35 USC 102 Novelty (BERT): 0.4782411374478797
- Combined Prediction Score: 0.5529965576287358
- Mean Citation Score: 193.61891
- Max Citation Score: 215.26949
- Similarity Product: 162.69950197307583

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