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 19):
A system comprising:\n at least one computer hardware processor; and at least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by the at least one computer hardware processor, cause the at least one computer hardware processor to perform a method of detecting change in degree of midline shift in a brain of a patient positioned within a low-field magnetic resonance imaging (MRI) device, the method comprising: while the patient remains positioned within the low-field MRI device:\n acquiring first magnetic resonance (MR) image data of the patient's brain; \n providing the first MR data as input to a trained statistical classifier to obtain corresponding first output; \n 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; \n acquiring second MR image data of the patient's brain subsequent to acquiring the first MR image data; \n providing the second MR image data as input to the trained statistical classifier to obtain corresponding second output; \n identifying, from the second output, at least one updated location of the at least one landmark associated with the at least one midline structure of the patient's brain; and \n 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.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 96.0
- Lexical Diversity: 2.61905
- Patent Class: 324.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15820073', '16116389', '13383351', '12237467', '12541855']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6263175470810698
- 35 USC 102 Novelty (BERT): 0.6500788287069557
- Combined Prediction Score: 0.6286936752436584
- Mean Citation Score: 374.580898
- Max Citation Score: 634.0282599999998
- Similarity Product: 607.2755369264505

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