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 19):
The system as recited in  claim 18 , wherein the computer system is configured to identify the motion-corrupted image frames by applying a threshold relative to the metrics from the initial image frames and selecting the motion-corrupted image frames based on the thresholding.

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): 0.6089817548474821
- 35 USC 102 Novelty (BERT): 0.4960544433662769
- Combined Prediction Score: 0.5976890236993616
- Mean Citation Score: 253.74027
- Max Citation Score: 275.16998
- Similarity Product: 217.5900949835193

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