PATENT CLAIM ANALYSIS

Application Number: 15987794
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["600", "416000"]

Abstract:
Methods and systems for determining whether brain tissue is indicative of a disorder, such as a neurodegenerative disorder, are provided. The methods and systems generally utilize data processing techniques to assess a level of congruence between measured parameters obtained from magnetic resonance imaging (MRI) data and simulated parameters obtained from computational modeling of brain tissues.

Claim (Index 1):
A method for determining a disorder state of brain tissue in a brain of a subject, comprising:\n (a) obtaining magnetic resonance imaging (MRI) data comprising at least one MRI image of the brain, the MRI image comprising a plurality of voxels, a voxel of the plurality of voxels being associated with the brain tissue of the brain of the subject and comprising one or more measured MRI parameters in the MRI data; (b) for the voxel of the plurality of voxels, using one or more computer processors to process the one or more measured MRI parameters with one or more simulated MRI parameters for the voxel, the one or more simulated MRI parameters being generated from one or more microstructural models at the voxel; (c) for the voxel of the plurality of voxels, selecting a diagnostic model from the one or more microstructural models, the diagnostic model meeting a threshold congruence between the one or more measured MRI parameters and the one or more simulated MRI parameters associated with the diagnostic model; and (d) using the diagnostic model to determine the disorder state of the brain tissue associated with at least the voxel.

Metadata:
- Claim Count in Document: 33.0
- Percentile: 93.0
- Lexical Diversity: 1.32609
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14385509', '13360714', '14869851', '15896344', '10532885']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.484718390269049
- 35 USC 102 Novelty (BERT): 0.4752738196307732
- Combined Prediction Score: 0.4837739332052215
- Mean Citation Score: 224.482724
- Max Citation Score: 232.2236
- Similarity Product: 186.71420155558587

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test