PATENT CLAIM ANALYSIS

Application Number: 16270134
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["324", "322000"]

Abstract:
A system and method of acquiring an image at a magnetic resonance imaging (MRI) system is provided. Accordingly, an analog signal based on a pulse sequence and a first gain is obtained. The analog signal is converted into a digitized signal. A potential quantization error is detected in the digitized signal based on a boundary. When the detection is affirmative, a replacement analog signal based on the pulse sequence is received. At least one portion of the replacement analog signal can be based on an adjusted gain. The adjusted gain is a factor of the first gain. The replacement analog signal is digitized into a replacement digitized signal. At least one portion of the replacement digitized signal corresponding to the at least one portion of the replacement analog signal is adjusted based on a reversal of the factor.

Claim (Index 15):
A method of acquiring an image at a magnetic resonance imaging (MRI) system comprising:\n receiving raw data for the image; receiving at least one indication of an event occurring at a time period; determining a portion of the raw data acquired at a portion of the time period; and when the determining is affirmative, performing a scan to obtain replacement data for the determined portion of the raw data.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 99.0
- Lexical Diversity: 2.64912
- Patent Class: 324.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15705819', '15321818', '15603658', '14774501', '15837123']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5515811251650458
- 35 USC 102 Novelty (BERT): 0.481109709393999
- Combined Prediction Score: 0.5445339835879411
- Mean Citation Score: 184.82620000000003
- Max Citation Score: 249.34518
- Similarity Product: 209.8989742209505

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

Dataset: test