PATENT CLAIM ANALYSIS

Application Number: 16016984
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["600", "413000"]

Abstract:
A method of optimizing scan parameters for LGE-MRI. At least one cardiac MRI TI scout scan is performed by applying an inversion pulse every predetermined heartbeat of a patient. An initial value of an inversion time TI initial  is determined by assessing a set of images generated from the scout scan. A first multiple of a duration between successive indicia of ventricular depolarization is selected, and a relaxation time T 1  is determined based on the initial value T initial  and the first multiple of duration. An optimized inversion time TI optimal  for LGE-MRI is determined based on the relaxation time T 1  and a second multiple of a duration between successive indicia of ventricular depolarization. A correction factor is determined based on the optimized inversion time TI optimal  from the initial value of the inversion time TI initial .

Claim (Index 5):
The device of  claim 1 , wherein each scout scan includes applying an inversion pulse at a selected heart beat interval of a patient and applying an excitation pulse, and further wherein the processor is configured to generate an output to the MM device causing the MM device to apply the inversion pulse every second or third heart beat of the subject.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 94.0
- Lexical Diversity: 2.43333
- Patent Class: 600.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15658741', '14355201', '14245011', '13742620', '14814671']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.508971324856131
- 35 USC 102 Novelty (BERT): 0.6393267786946494
- Combined Prediction Score: 0.5220068702399828
- Mean Citation Score: 392.011652
- Max Citation Score: 635.9693
- Similarity Product: 586.6325233263076

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

Dataset: test