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 15):
The method as recited in  claim 1 , further comprising, when a stopping criterion is not satisfied, iteratively compensating the generated series of motion-compensated image frames by in each iteration:\n estimating subject motion from the identified motion corrupted image frames; producing updated motion-compensated magnetic resonance data by applying the estimated subject motion to the motion-compensated magnetic resonance data from a previous iteration; and updating the series of motion-compensated image frames by comparing the updated motion-compensated magnetic resonance data to the dictionary of signal evolutions.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 91.0
- Lexical Diversity: 1.27778
- Patent Class: 324.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15946922', '15945594', '14711815', '15117337', '15589295']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5800933996772323
- 35 USC 102 Novelty (BERT): 0.4950391721517386
- Combined Prediction Score: 0.571587976924683
- Mean Citation Score: 253.74027
- Max Citation Score: 275.16998
- Similarity Product: 212.8944864222336

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