Ultrasound imaging plane alignment using neural networks and associated devices, systems, and methods
US-2021015453-A1 · Jan 21, 2021 · US
US12465331B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12465331-B2 |
| Application number | US-202218571811-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 21, 2022 |
| Priority date | Jun 23, 2021 |
| Publication date | Nov 11, 2025 |
| Grant date | Nov 11, 2025 |
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A lung injury monitoring system ( 200 ) configured to monitor a patient's lungs during ventilation, comprising: an ultrasound device ( 280 ) configured to obtain an ultrasound image of the patient's lungs during ventilation of the patient; a processor ( 220 ) configured to: (i) receive the obtained ultrasound image; (ii) determine a ventilation phase of the ventilator; (iii) analyze the received ultrasound image; and (iv) determine a risk score for a potential ventilator-associated lung injury (VALI); and a user interface ( 240 ) configured to display the determined risk score for the potential VALI.
Opening claim text (preview).
What is claimed is: 1 . A lung injury monitoring system configured to monitor a patient's lungs during ventilation, comprising: an ultrasound device configured to obtain an ultrasound image of the patient's lungs during ventilation of the patient; a processor configured to: (i) receive the obtained ultrasound image; (ii) determine a ventilation phase of the ventilator; (iii) analyze the received ultrasound image; and (iv) determine a risk score for a potential ventilator-associated lung injury (VALI); and a user interface configured to display the risk score of the potential VALI. 2 . The system of claim 1 , wherein analyzing comprises: labeling the received ultrasound image as an inspiratory or expiratory image based on the determined ventilation phase of the ventilator; determining a number of B-lines in the labeled received ultrasound image, wherein the determined number of B-lines in the labeled received ultrasound image comprises a maximum and/or average number of B-lines; receiving an updated ultrasound image in the other of an inspiratory or expiratory ventilation phase of the ventilator, and labeling the updated ultrasound image as the other of the inspiratory and expiratory ventilation phase of the ventilator; determining a number of B-lines in the updated ultrasound image, wherein the determined number of B-lines in the updated ultrasound image comprises a maximum and/or average number of B-lines; and comparing the number of determined B-lines in the labeled received ultrasound image to the number of determined B-lines in the updated ultrasound image to identify a ratio of maximum and/or average number of B-lines in an inspiratory ventilation stage relative to an expiratory ventilation stage, wherein the ratio is a metric indicative of VALI. 3 . The system of claim 2 , wherein the identified ratio is indicative of a potential VALI if the identified ratio is above a predetermined threshold, and wherein the identified ratio is indicative of a healthy lung if the identified ratio is below a predetermined threshold. 4 . The system of claim 1 , wherein analyzing comprises: determining, from the determined ventilation phase of the ventilator, that full expiration of the patient's lungs has been reached; identifying a pleural line in a received ultrasound image after full expiration of the patient's lungs has been reached; identifying, if a pleural line is identified, a parietal pleura (R p ) and a visceral pleura (R v ) in the received ultrasound image; receiving, from the ultrasound device, an updated ultrasound image; identifying a pleural line in the updated ultrasound image and identifying a parietal pleura (R p ) and a visceral pleura (R v ) in the updated ultrasound image; determining, by comparing the parietal pleura and visceral pleura in the received ultrasound image and updated ultrasound image, a parietal displacement vector (d p ) and a visceral displacement vector (d v ); determining a relative displacement (d i ) by subtracting d p from d v ; calculating, from d i , a metric indicative of VALI. 5 . The system of claim 4 , wherein calculating comprises determining a quantitative lung sliding parameter such as amplitude, velocity, or phase lag of displacement. 6 . The system of claim 1 , wherein the VALI is atelectotrauma and/or overdistension. 7 . The system of claim 1 , wherein the user interface is further configured to display one or more of monitoring or demographic information about the patient. 8 . A method for monitoring a patient's lungs during ventilation using a lung injury monitoring system, comprising: receiving, from an ultrasound device of the lung injury monitoring system, an ultrasound image of the patient's lungs during ventilation of the patient by a ventilator of the lung injury monitoring system; determine, by a processor of the lung injury monitoring system, a ventilation phase of the ventilator; analyze, using the processor of the lung injury monitoring system, the received ultrasound image; and determine, based on the analysis, a risk score for a potential ventilator-associated lung injury (VALI). 9 . The method of claim 8 , wherein analyzing the received ultrasound image comprises: labeling the received ultrasound image as an inspiratory or expiratory image based on the determined ventilation phase of the ventilator; determining a number of B-lines in the labeled received ultrasound image, wherein the determined number of B-lines in the labeled received ultrasound image comprises a maximum and/or average number of B-lines; receiving an updated ultrasound image in the other of an inspiratory or expiratory ventilation phase of the ventilator, and labeling the updated ultrasound image as the other of the inspiratory and expiratory ventilation phase of the ventilator; determining a number of B-lines in the updated ultrasound image, wherein the determined number of B-lines in the updated ultrasound image comprises a maximum and/or average number of B-lines; and comparing the number of determined B-lines in the labeled received ultrasound image to the number of determined B-lines in the updated ultrasound image to identify a ratio of maximum and/or average number of B-lines in an inspiratory ventilation stage relative to an expiratory ventilation stage, wherein the ratio is a metric indicative of VALI. 10 . The method of claim 9 , wherein the identified ratio is indicative of a potential VALI if the identified ratio is above a predetermined threshold, and wherein the identified ratio is indicative of a healthy lung if the identified ratio is below a predetermined threshold. 11 . The method of claim 8 , wherein analyzing the received ultrasound image comprises: determining, from the determined ventilation phase of the ventilator, that full expiration of the patient's lungs has been reached; identifying a pleural line in a received ultrasound image after full expiration of the patient's lungs has been reached; identifying, if a pleural line is identified, a parietal pleura (R p ) and a visceral pleura (R v ) in the received ultrasound image; receiving, from the ultrasound device, an updated ultrasound image; identifying a pleural line in the updated ultrasound image and identifying a parietal pleura (R p ) and a visceral pleura (R v ) in the updated ultrasound image; determining, by comparing the parietal pleura and visceral pleura in the received ultrasound image and updated ultrasound image, a parietal displacement vector (d p ) and a visceral displacement vector (d v ); determining a relative displacement (d i ) by subtracting d p from d v ; calculating, from d i , a metric indicative of VALI. 12 . The method of claim 11 , wherein calculating comprises determining a quantitative lung sliding parameter such as amplitude, velocity, or phase lag of displacement. 13 . The method of claim 8 , wherein the VALI is atelectotrauma and/or overdistension. 14 . The method of claim 8 , further comprising displaying, via a user interface of the lung injury monitoring system, the risk score of the potential VALI. 15 . The method of claim 14 , further comprising displaying via a user interface of the lung injury monitoring system, one or more of monitoring or demographic information about the patient.
characterised by displaying multiple images or images and diagnostic data on one display · CPC title
Clinical applications (A61B8/02, A61B8/04, A61B8/06 take precedence) · CPC title
for calculating health indices; for individual health risk assessment · CPC title
Lungs · CPC title
specially adapted for predicting, e.g. for determining an information representative of a flow limitation during a ventilation cycle by using a root square technique or a regression analysis · CPC title
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