US 12,591,967 B2 · Displacement estimation of interventional devices

Abstract

A system is provided for determining the movement of an interventional device inside a lumen. The interventional device comprises a distal portion inside the lumen and a proximal portion outside the lumen and the system comprises a processor. The processor is configured to receive one or more images from an ultrasound transducer, wherein the images are representative of the lumen with the interventional device inside and input the one or more images into a machine learning algorithm. The machine learning algorithm is trained to learn the relationship between the content of one or more images of an interventional device inside a lumen and the displacement of the distal portion of the interventional device in an elevational direction parallel, or almost parallel, to the direction of movement of the distal portion of the interventional device and output a one dimensional estimated displacement corresponding to the movement of the distal portion of the interventional device in the elevational direction for one or more of the images.

Claims15

Dependent claims

A system, comprising:

a processor configured to:
receive a plurality of intravascular images from an intravascular imaging catheter during movement of the intravascular imaging catheter through a lumen of a blood vessel along an elevational direction, wherein the intravascular imaging catheter is configured to obtain the one or more intravascular images along a radial direction perpendicular to the elevational direction, wherein the plurality of intravascular images are representative of the lumen;
input the plurality of intravascular images into a machine learning algorithm;
and
output, by the machine learning algorithm, an estimated displacement of the intravascular imaging catheter in one dimension in real time during the movement, wherein the estimated displacement comprises units of distance, wherein the one dimension comprises the elevational direction,
wherein the machine learning algorithm is trained to determine a relationship between the plurality of intravascular images and the estimated displacement of the intravascular imaging catheter in the one dimension.

3 more elements

Dependencies are inferred from the claim text.

Displacement estimation of interventional devices

Life of this patent

Displacement estimation of interventional devices

Life of this patent

Abstract

Claims15