PATENT CLAIM ANALYSIS

Application Number: 15945964
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["324", "309000"]

Abstract:
In a method for determining magnetic resonance (MR) parameters, an MR fingerprint of a voxel is acquired by execution of a pulse sequence, the MR fingerprint is provided as an input into the input layer of a trained neural network, and at least one MR parameter relating to the MR fingerprint is provided at the output layer of the neural network.

Claim (Index 8):
A neural network comprising:\n an input layer that receives an MR fingerprint of a voxel; a plurality of hidden layers configured to process the MR fingerprint so as to produce at least one MR parameter relating to the MR fingerprint; and an output layer at which said at least one MR parameter relating to the MR fingerprint of the voxel is provided.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 91.0
- Lexical Diversity: 1.675
- Patent Class: 324.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15372445', '14965765', '15074586', '15089571', '15804084']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.569530137785484
- 35 USC 102 Novelty (BERT): 0.5027717592185728
- Combined Prediction Score: 0.562854299928793
- Mean Citation Score: 221.57561200000004
- Max Citation Score: 277.93997
- Similarity Product: 190.3436038321376

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