PATENT CLAIM ANALYSIS

Application Number: 15756119
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["382", "131000"]

Abstract:
A method for determining a surrogate respiratory signal for four-dimensional computed tomography using ultrasound data includes acquiring computed tomography data with a computed tomography imaging system ( 402 ), acquiring ultrasound data with an ultrasound probe of an ultrasound imaging system ( 404 ) concurrently with acquiring the computed tomography data during one or more respiratory cycles, wherein the ultrasound probe is aligned to acquire an image of a diaphragm of a subject, synchronizing the acquired computed tomography data and the acquired ultrasound data, and determining a surrogate respiratory signal from the acquired ultrasound data.

Claim (Index 5):
The method of  claim 1 , wherein the acquired ultrasound data includes one dimensional radio frequency data acquired in M-mode, and determining the surrogate respiratory signal includes:\n identifying a high intensity sub-portion of the one dimensional radio frequency data as a baseline portion; and tracking a movement of the high intensity sub-portion over the respiratory cycle through at least one of cross-correlation or 1-D Demons; and generating the surrogate respiratory signal based on the tracked movement.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 88.0
- Lexical Diversity: 2.12766
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14525360', '13344667', '10599084', '15567492', '13381206']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.366008638684754
- 35 USC 102 Novelty (BERT): 0.5023825717510165
- Combined Prediction Score: 0.3796460319913802
- Mean Citation Score: 235.53425
- Max Citation Score: 266.42926
- Similarity Product: 199.9895628478777

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