PATENT CLAIM ANALYSIS

Application Number: 16053873
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["382", "131000"]

Abstract:
Apparatus, methods, and other embodiments associated with NMR fingerprinting are described. One example NMR apparatus includes an NMR logic that repetitively and variably samples a (k, t, E) space associated with an object to acquire a set of NMR signals that are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. The NMR apparatus may also include a signal logic that produces an NMR signal evolution from the NMR signals, and a characterization logic that characterizes a resonant species in the object as a result of comparing acquired signals to reference signals. The NMR signal evolution may be assigned to a cluster based on the characterization of the resonant species. Cluster overlay maps may be produced simultaneously based, at least in part, on the clustering. The clusters may be associated with different tissue types.

Claim (Index 32):
An apparatus, comprising:\n a nuclear magnetic resonance (NMR) logic that receives a first set of data from a magnetic resonance fingerprinting (MRF) apparatus that repetitively and variably samples a (k, t, E) space associated with an object to acquire a set of NMR signals, where members of the first set of data are associated with different points in the (k, t, E) space, where t is time and E includes at least one of, T1, T2, and one other parameter, T1 being spin-lattice relaxation, and T2 being spin-spin relaxation, and where one or more of, t and E, vary non-linearly; a signal logic that produces an NMR signal evolution from the first set of data; a matching logic that selects from a collection of stored signal evolutions a stored signal evolution that most closely matches the NMR signal evolution; a characterization logic that characterizes the object based, at least in part, on one or more magnetic resonance (MR) parameters associated with the selected signal evolution, and a cluster logic that assigns a location in the object that produced the first set of data to a cluster selected from a plurality of clusters, where the plurality of clusters represent Voronoi groups produced by a k-means analysis, and where the plurality of clusters segment an MR parameter data space associated with the object.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 2.06173
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14257081', '14682142', '14257348', '14257207', '14711879']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4152500949171634
- 35 USC 102 Novelty (BERT): 0.5947615742194374
- Combined Prediction Score: 0.4332012428473908
- Mean Citation Score: 438.186352
- Max Citation Score: 510.05582
- Similarity Product: 492.59566998087286

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