PATENT CLAIM ANALYSIS

Application Number: 16116301
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["324", "309000"]

Abstract:
Some aspects include a method of detecting change in degree of midline shift in a brain of a patient. The method comprises, while the patient remains positioned within the low-field magnetic resonance imaging device, acquiring first magnetic resonance (MR) image data and second MR image data of the patient's brain; providing the first and second MR data as input to a trained statistical classifier to obtain corresponding first and second output, identifying, from the first output, at least one initial location of at least one landmark associated with at least one midline structure of the patient's brain; identifying, from the second output, at least one updated location of the at least one landmark; and determining a degree of change in the midline shift using the at least one initial location of the at least one landmark and the at least one updated location of the at least one landmark.

Claim (Index 3):
The method of  claim 2 , determining an initial amount of midline shift using the identified initial locations of the anterior attachment point of the falx cerebri, the posterior attachment point of the falx cerebri, and the measurement point on the septum pellucidum.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 96.0
- Lexical Diversity: 2.61905
- Patent Class: 324.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15820073', '16116389', '13383351', '12237467', '12541855']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6514339487912418
- 35 USC 102 Novelty (BERT): 0.6582181020498211
- Combined Prediction Score: 0.6521123641170998
- Mean Citation Score: 374.580898
- Max Citation Score: 634.0282599999998
- Similarity Product: 628.1253012366387

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

Dataset: test