PATENT CLAIM ANALYSIS

Application Number: 15947558
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["324", "307000"]

Abstract:
Methods for magnetic resonance fingerprinting (“MRF”) that are more robust to patient motion than conventional MRF techniques are described. The methods described in the present disclosure provide an image reconstruction algorithm for MRF that decreases the motion sensitivity of MRF.

Claim (Index 18):
The system as recited in  claim 17 , wherein the computer system is further configured to compute metrics by comparing the series of initial image frames and images reconstructed from the MRF data and use the series of initial image frames to identify the motion-corrupted image frames based on the metrics.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 91.0
- Lexical Diversity: 1.27778
- Patent Class: 324.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15946922', '15945594', '14711815', '15117337', '15589295']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6093960211807947
- 35 USC 102 Novelty (BERT): 0.4938104499690632
- Combined Prediction Score: 0.5978374640596216
- Mean Citation Score: 253.74027
- Max Citation Score: 275.16998
- Similarity Product: 225.80662679849388

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

Dataset: test