PATENT CLAIM ANALYSIS

Application Number: 15875086
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["324", "309000"]

Abstract:
In a method and computer and magnetic resonance (MR) apparatus for classifying MR measurement data acquired from an object under examination by execution of an MR fingerprinting method, wherein the MR measurement data include multiple MR signal profiles acquired by the MR fingerprinting method. At least one texture parameter is derived from the MR measurement data. The MR measurement data are classified into at least one tissue class using the at least one texture parameter. The classified MR measurement data are provided as an output.

Claim (Index 9):
A classifying computer comprising:\n a processor; an input interface configured to receive MR measurement data of an object into said processor, said MR measurement data comprising a plurality of MR signal profiles acquired by execution of an MR fingerprinting method; said processor being configured to derive at least one texture parameter from said MR measurement data; said processor being configured to classify the MR measurement data into at least one tissue class using said at least one texture parameter; and an output interface at which said processor is configured to provide the classified MR measurement data in electronic form as an output from said processor.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 86.0
- Lexical Diversity: 1.80392
- Patent Class: 324.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14838566', '14838609', '15292250', '14865025', '14809652']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5713981551773476
- 35 USC 102 Novelty (BERT): 0.4846385408306351
- Combined Prediction Score: 0.5627221937426764
- Mean Citation Score: 208.731844
- Max Citation Score: 220.03716
- Similarity Product: 156.52659976316932

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

Dataset: test