Systems and methods for intravascular visualization

1 . An intravascular imaging display system comprising:

a control circuit; and

a video output circuit;

wherein the video output circuit is in electronic communication with the control circuit;

wherein the video output circuit is configured to generate a display output including a user interface;

the user interface comprising

graphical elements related to a vessel being imaged, the graphical elements comprising

a first detected feature portion, wherein the first detected feature portion is at least partially defined by a first graphic indicator; and

a second detected feature portion, wherein the second detected feature portion is at least partially defined by a second graphic indicator;

wherein the first graphic indicator is visually distinct from the second graphic indicator;

wherein the first detected feature portion and the second detected feature portion are assigned to represent a first vessel wall portion and a second vessel wall portion along a vessel wall by the control circuit based on a degree of attenuation of an ultrasound return signal crossing a threshold value, respectively; and

wherein the first graphical indicator and the second graphical indicator represent different degrees of positional accuracy or confidence based on the degree of attenuation.

2 . The intravascular imaging display system of claim 1 , the first graphic indicator comprising a solid line border.

3 . The intravascular imaging display system of claim 1 , the second graphic indicator comprising an interrupted line border.

4 . The intravascular imaging display system of claim 1 , wherein the graphical elements are related to a longitudinal cross-section of the vessel.

5 . The intravascular imaging display system of claim 1 , wherein the graphical elements are related to a radial cross-section of the vessel.

6 . The intravascular imaging display system of claim 1 , the first detected feature portion comprising:

a representation of a first lumen border; and

a representation of a first vessel border;

the second detected feature portion comprising

a representation of a second lumen border; and

a representation of a second vessel border.

7 . The intravascular imaging display system of claim 6 , wherein the position of the representations of the first vessel border, the second vessel border, the first lumen border, and the second lumen border are determined using a machine learning derived model.

8 . The intravascular imaging display system of claim 6 , wherein the position of the representations of the first vessel border, the second vessel border, the first lumen border, and the second lumen border are determined using a deep learning derived model.

9 . The intravascular imaging display system of claim 1 , the user interface comprising one or more numerical parameters related to the vessel being imaged, wherein the one or more numerical parameters include a typographic feature to indicate whether they relate to the first detected feature portion or the second detected feature portion.

10 . The intravascular imaging display system of claim 1 , wherein the user interface is configured to receive user input regarding the position of the graphical elements from a system user.

11 . The intravascular imaging display system of claim 1 , wherein the user interface is configured to receive user input regarding at least one of a position of a representation of a first vessel border and a position of a representation of a second vessel border from a system user.

12 . The intravascular imaging display system of claim 11 , wherein the intravascular imaging display system is configured to use the user input as part of a data set for generation of a machine learning model.

13 . The intravascular imaging display system of claim 1 , wherein the first detected feature portion comprises one or more discrete portions separated by one or more discrete portions of the second detected feature portion.

14 . A method of providing a display for an intravascular imaging display system comprising:

distinguishing between a first vessel wall portion and a second vessel wall portion based on a degree of attenuation of an ultrasound return signal; and

generating a display output including a user interface;

wherein the user interface includes graphical elements related to a vessel being imaged including a first detected feature portion corresponding to the first vessel wall portion and a second detected feature portion corresponding to the second vessel wall portion;

wherein the first detected feature portion is at least partially defined by a first graphic indicator and the second detected feature portion is at least partially defined by a second graphic indicator;

wherein the first graphic indicator is visually distinct from the second graphic indicator; and

wherein the first graphic indicator and the second graphic indicator represent different degrees of positional accuracy or confidence based on the degree of attenuation.

15 . The method of claim 14 , the first graphic indicator comprising a solid line border and the second graphic indicator comprising an interrupted line border.

16 . The method of claim 14 , further comprising determining positions of the graphical elements related to a vessel being imaged using a machine learning derived model.

17 . The method of claim 14 , further comprising determining positions of the graphical elements related to a vessel being imaged using a deep learning derived model.

18 . The method of claim 14 , further comprising receiving user input regarding the graphical elements related to a vessel being imaged from a system user.

19 . The method of claim 18 , further comprising receiving user input regarding a position of a vessel border from a system user.

20 . The method of claim 19 , further comprising using the user input as part of a training data set for generation of a machine learning model.