Systems and methods for guiding ultrasonic probe positioning using scoring-based canonical view simulation model

1 . A system for guiding ultrasonic probe positioning using a scoring-based canonical view simulation model, the system comprising:

a catheter coupled to at least a transducer, wherein the at least a transducer is configured to receive ultrasound data;

a localization system configured to detect probe position data as a function of a location of the catheter;

at least a processor communicatively connected to the at least a transducer and the localization system; and

a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to:

receive the ultrasound data from the transducer;

receive the probe position data from the localization system;

generate, using a scoring-based canonical view simulation model, a movement vector as a function of the ultrasound data and the probe position data, wherein the scoring-based canonical view simulation model has been trained using a reinforcement learning algorithm;

determine, using the movement vector, real-time guidance data comprising a performance metric, wherein the performance metric is determined as a function of comparing actions of a user, as represented by one or both of the ultrasound data and the probe position data, against an optimal movement predicted by the scoring-based canonical view simulation model; and

display the real-time guidance data and the performance metric in real-time to the user through a user interface.

2 . The system of claim 1 , wherein:

the real-time guidance data comprises an optimal movement of the catheter which is a function of the movement vector; and

the real-time guidance data comprises one or more of visual feedback, auditory feedback, or haptic feedback.

3 . The system of claim 1 , further comprising a display device, wherein:

the real-time guidance data comprises visual feedback, wherein visual feedback comprises an on-screen visual guide; and

the display device is configured to display the visual feedback to a user as a function of the real-time guidance data.

4 . The system of claim 1 , wherein the at least a processor is further configured to:

display, through the user interface, the ultrasound data as an ultrasound image; and

overlay, on the ultrasound image at the user interface, the real-time guidance, wherein the real-time guidance data comprises visual feedback configured to direct a user in real-time to adjust the catheter's position.

5 . The system of claim 1 , wherein the at least a processor is further configured to:

display, through the user interface, a 3D model; and

overlay, on the 3D model at the user interface, the position of a virtual sensor relative to the 3D model as a function of the probe position data.

6 . The system of claim 1 , wherein the at least a processor is further configured to update the real-time guidance data as a function of one or more changes in the ultrasound data and probe position data, wherein updating the real-time guidance data comprises:

receiving updated ultrasound data and probe position data;

inputting the updated ultrasound and probe position data into the scoring-based canonical view simulation model; and

outputting, from the scoring-based canonical view simulation model, updated real-time guidance.

7 . The system of claim 1 , wherein the scoring-based canonical view simulation model comprises a reinforcement learning model that has been trained using computed tomography data.

8 . The system of claim 1 , wherein:

the real-time guidance data comprises a set of visual indicators, wherein the set of visual indicators show a relative proximity of the catheter to a target area; and

the at least a processor is further configured to update the set of visual indicators as a function of one or more movements of the catheter.

9 . The system of claim 1 , wherein:

the ultrasound data and the probe position data are live data; and

the ultrasound data and the probe position data are received from a live ultrasonic procedure.

10 . A method for guiding ultrasonic probe positioning using a scoring-based canonical view simulation model, the method comprising:

receiving, by at least a processor, ultrasound data from a transducer coupled to a catheter;

receiving, by the at least a processor, probe position data from a localization system;

generating, using a scoring-based canonical view simulation model, a movement vector as a function of the ultrasound data and the probe position data, wherein the scoring-based canonical view simulation model has been trained using a reinforcement learning algorithm;

determining, using the movement vector, real-time guidance data comprising a performance metric, wherein the performance metric is determined as a function of comparing actions of a user, as represented by one or both of the ultrasound data and the probe position data, against an optimal movement predicted by the scoring-baser canonical view simulation model; and

displaying the real-time guidance data and the performance metric in real-time to the user through a user interface.

11 . The method of claim 10 , wherein:

the real-time guidance data comprises an optimal movement of the catheter which is a function of the movement vector; and

the real-time guidance data comprises one or more of visual feedback, auditory feedback, or haptic feedback.

12 . The method of claim 10 , further comprising displaying, to a user, real-time guidance comprising visual feedback, wherein the visual feedback comprises an on-screen visual guide.

13 . The method of claim 10 , further comprising:

displaying, through the user interface, the ultrasound data as an ultrasound image; and

overlaying, on the ultrasound image at the user interface, the real-time guidance, wherein the real-time guidance data comprises visual feedback configured to direct a user in real-time to adjust the catheter's position.

14 . The method of claim 10 , further comprising:

displaying, through the user interface, a 3D model; and

overlaying, on the 3D model at the user interface, the position of a virtual sensor relative to the 3D model as a function of the probe position data.

15 . The method of claim 10 , further comprising updating the real-time guidance data as a function of one or more changes in the ultrasound data and probe position data, wherein updating the real-time guidance data comprises:

receiving updated ultrasound data and probe position data;

inputting the updated ultrasound and probe position data into the scoring-based canonical view simulation model; and

outputting, from the scoring-based canonical view simulation model, updated real-time guidance.

16 . The method of claim 10 , wherein the scoring-based canonical view simulation model comprises a reinforcement learning model that has been trained using computed tomography data.

17 . The method of claim 10 , further comprising updating the real-time guidance data comprising a set of visual indicators as a function of one or more movements of the catheter, wherein the set of visual indicators show a relative proximity of the catheter to a target area.

18 . The method of claim 10 , wherein:

the ultrasound data and the probe position data are live data; and

the ultrasound data and the probe position data are received from a live ultrasonic procedure.