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 17):
A system comprising:\n a magnet system configured to generate a polarizing magnetic field about at least a portion of a subject; a magnetic gradient system including a plurality of magnetic gradient coils configured to apply at least one magnetic gradient field to the polarizing magnetic field; a radio frequency (RF) system configured to apply an RF field to the subject and to receive magnetic resonance signals from the subject using a coil array; a computer system programmed to:\n control the magnetic gradient system and the RF system to acquire MRF data from a subject using a series of variable sequence blocks to cause one or more resonant species in the subject to simultaneously produce individual magnetic resonance signals and wherein at least one member of the series of variable sequence blocks differs from at least one other member of the series of variable sequence blocks in at least two sequence block parameters; \n generate a series of initial image frames by comparing the MRF data to a dictionary of signal evolutions; \n identify motion corrupted image frames in the series of initial image frames; \n estimate subject motion from the identified motion corrupted image frames; \n produce motion-compensated data by applying the estimated subject motion to the MRF data; and \n generate a series of motion-compensated image frames by comparing the motion-compensated 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): 0.5820172942635576
- 35 USC 102 Novelty (BERT): 0.4848496041795069
- Combined Prediction Score: 0.5723005252551526
- Mean Citation Score: 253.74027
- Max Citation Score: 275.16998
- Similarity Product: 250.2167124690938

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