PATENT CLAIM ANALYSIS

Application Number: 16116389
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["600", "410000"]

Abstract:
Some aspects include a method of determining change in size of an abnormality in a brain of a patient positioned within a low-field magnetic resonance imaging (MRI) device. The method comprises, while the patient remains positioned within the low-field MRI device, acquiring first and second magnetic resonance (MR) image data of the patient's brain; providing the first and second MR image data as input to a trained statistical classifier to obtain corresponding first and second output; identifying, using the first output, at least one initial value of at least one feature indicative of a size of the abnormality; identifying, using the second output, at least one updated value of the at least one feature; determining the change in the size of the abnormality using the at least one initial value of the at least one feature and the at least one updated value of the at least one feature.

Claim (Index 16):
A low-field magnetic resonance imaging (MRI) device configured to determine change in size of an abnormality in a brain of a patient, the low-field MRI device comprising:\n a plurality of magnetic components, including:\n a B0 magnet configured to produce, at least in part, a B0 magnetic field; \n at least one gradient magnet configured to spatially encode magnetic resonance data; and \n at least one radio frequency coil configured to stimulate a magnetic resonance response and detect magnetic components configured to, when operated, acquire magnetic resonance image data; and \n at least one controller configured to operate the plurality of magnet components to, while the patient remains positioned within the low-field magnetic resonance device, acquire first magnetic resonance (MR) image data of the patient's brain, and acquire second MR image data of the patient's brain subsequent to acquiring the first MR image data, wherein the at least one controller further configured to perform:\n providing the first and second MR image data as input to a trained statistical classifier to obtain corresponding first output and second output; \n identifying, using the first output, at least one initial value of at least one feature indicative of a size of an abnormality in the patient's brain; \n acquiring second MR image data for the portion of the patient's brain subsequent to acquiring the first MR image data; \n identifying, using the second output, at least one updated value of the at least one feature indicative of the size of the abnormality in the patient's brain; \n determining the change in the size of the abnormality using the at least one initial value of the at least one feature and the at least one updated value of the at least one feature.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 96.0
- Lexical Diversity: 2.76667
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16116301', '15820073', '13383351', '12237467', '13500207']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4848219483492572
- 35 USC 102 Novelty (BERT): 0.6096242802812489
- Combined Prediction Score: 0.4973021815424563
- Mean Citation Score: 350.49370000000016
- Max Citation Score: 550.37463
- Similarity Product: 526.8168848906977

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