Dynamic Visualization For Device Delivery

A system, comprising,

• one or more processors, the one or more processors configured to:
• receive at least one first extraluminal image;
• receive second extraluminal images captured during delivery of an intravascular device;
• detect motion features in the at least one first extraluminal image and the second extraluminal images, wherein the motion features include at least one of a guide catheter tip, a distal endpoint of a working vessel, an optical flow at the guide catheter tip, or an optical flow at the distal endpoint of the working vessel;
• correlate, based the detected motion features, the at least one first extraluminal image and the second extraluminal images;
• and
• provide for output real-time visualization of a position of the intravascular device on the at least one first extraluminal image or one of the second extraluminal images including the intravascular device.

A system, comprising:

• one or more processors, the one or more processors configured to:
• receive at least one first extraluminal image;
• receive second extraluminal images captured during delivery of an intravascular device;
• detect motion features in the at least one first extraluminal image and the second extraluminal images;
• determine, based on the detected motion features, a heartbeat period of a patient;
• and
• provide for output real-time visualization of a position of the intravascular device on the at least one first extraluminal image or one of the second extraluminal images including the intravascular device.

A system, comprising:

• one or more processors, the one or more processors configured to:
• receive at least one first extraluminal image;
• receive second extraluminal images captured during delivery of an intravascular device;
• detect motion features in the at least one first extraluminal image and the second extraluminal images;
• correlate, based the detected motion features, the at least one first extraluminal image and the second extraluminal images;
• provide for output real-time visualization of a position of the intravascular device on the at least one first extraluminal image or one of the second extraluminal images including the intravascular device;
• and
• provide for output a treatment zone on at least one of the second extraluminal images or the at least one first extraluminal image.

A system, comprising:

• one or more processors, the one or more processors configured to:
• receive at least one first extraluminal image;
• receive second extraluminal images captured during delivery of an intravascular device;
• detect motion features in the at least one first extraluminal image and the second extraluminal images;
• correlate, based the detected motion features, the at least one first extraluminal image and the second extraluminal images;
• provide for output real-time visualization of a position of the intravascular device on the at least one first extraluminal image or one of the second extraluminal images including the intravascular device;
• and
• automatically capture a screen capture of the real-time visualization of the position of the intravascular device.

A system comprising:

• one or more processors, the one or more processors configured to:
• receive extraluminal images captured during delivery of an intravascular device, wherein the intravascular device has a radio-opaque marker;
• detect a plurality of device marker candidates, wherein at least one of the device marker candidates corresponds to the radio-opaque marker of the intravascular device;
• automatically detect, using an artificial intelligence (AI) model, a working vessel using a plurality of virtual boxes and at least one of the plurality of device marker candidates,
• wherein at least one of the plurality of virtual boxes contains the at least one of the plurality of device marker candidates;
• and
• select at least one of the plurality of the virtual boxes that includes a region of interest of the working vessel that contains the at least one of the plurality of device markers.