PATENT CLAIM ANALYSIS

Application Number: 15873633
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["600", "438000"]

Abstract:
Sparse tracking is used in acoustic radiation force impulse imaging. The tracking is performed sparsely. The displacements are measured only one or a few times for each receive line. While this may result in insufficient information to determine the displacement phase shift and/or maximum displacement over time, the resulting displacement samples for different receive lines as a function of time may be used together to estimate the velocity, such as with a Radon transform. The estimation may be less susceptible to noise from the scarcity of displacement samples by using compressive sensing.

Claim (Index 1):
A method for sparse tracking in acoustic radiation force impulse imaging, the method comprising:\n transmitting, with an ultrasound scanner, an acoustic radiation force impulse into tissue of a patient along a first line; tracking, with the ultrasound scanner, a wave generated in response to the transmitting with four or fewer receive beams along each of a plurality of tracking lines spaced from the first line; determining a displacement for each of the tracking lines, the displacements comprising a sparse displacement sampling of the tracking lines; performing compressive sensing of the sparse displacement sampling; inverse Fourier transforming results of the compressive sensing; Radon transforming results of the inverse Fourier transforming; calculating a velocity of the wave from results of the Radon transforming; and generating an image of the velocity.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 86.0
- Lexical Diversity: 1.43478
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14595127', '15209180', '15094883', '13801400', '14160440']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.507027558716498
- 35 USC 102 Novelty (BERT): 0.5843293418907441
- Combined Prediction Score: 0.5147577370339226
- Mean Citation Score: 355.17231400000014
- Max Citation Score: 498.29248
- Similarity Product: 488.59940972106943

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

Dataset: test