System and methods for machine learning driven contouring cardiac ultrasound data

Patent metadata

Field	Value
Publication number	US-2026081027-A1
Application number	US-202519401170-A
Country	US
Kind code	A1
Filing date	Nov 25, 2025
Priority date	Dec 24, 2020
Publication date	Mar 19, 2026
Grant date	—

Abstract

A system may receive four-dimensional ultrasound image data generated by an ultrasound device directed a heart. The system may generate, with a machine learning model, a plurality of response vectors respectively corresponding to anchor points along a boundary of the heart. The anchor points may measure an angle and distance with respect to an axis of the heart. The system may generate, based on the response vectors, a mesh comprising displayable locations of the anchor points at one or more times during a cardiac cycle. The system may display a graphical user interface including the image data and the anchor points rendered from the mesh.

First claim

What is claimed is:

1 . A method for cardiac image rendering, comprising:
receiving, by a hardware processor, four-dimensional ultrasound image data generated by an ultrasound device directed a heart, the imaging data comprising a time dimension and a plurality of spatial dimensions; aligning the image data with an axis that passes through an apex and base of a left ventricle of the heart; generating, by the hardware processor, based on a time-dependent smoothing spine and the image data, a plurality of response vectors respectively corresponding to anchor points along a boundary of the heart, the anchor points measuring an angle and distance with respect to the axis; generating, by a hardware processor, based on the response vectors, a mesh comprising displayable locations of the anchor points at one or more times during a cardiac cycle; and displaying, by the hardware processor, a graphical user interface including the image data and the anchor points rendered from the mesh, wherein the anchor points are positioned on the displayed image data at the displayable locations along the boundary of the heart, wherein at least one of the anchor points are selectively moveable in the graphical user interface and the mesh is updated in response to movement of at least one of the anchor points.

2 . The method of claim 1 , wherein generating the response vectors further comprises:
accessing a first parameter vector corresponding to the anchor points, respectively; weighting at least a portion of the image data with a first parameter vector; generating smoothing spline values; and weighting the smoothing spline values with a second parameter vector.

3 . The method of claim 2 , further comprising:
generating the first parameter vector and the second parameter vector with a best-fit function.

4 . The method of claim 1 , further comprising:
regenerating the response vectors in response to movement of the at least of the one anchor points on the graphical user interface.

5 . The method of claim 1 , wherein aligning the image data further comprises:
displaying the image data and a line corresponding to the axis; receiving an input operation corresponding to the image data; and reorienting the image data in response to the input operation.

6 . The method of claim 1 , further comprising:
render, based on the mesh, an animation of the left ventricle of the heart based on the locations of the anchor points over the cardiac cycle.

7 . The method of claim 1 , wherein each of the anchor points are uniquely mapped to a corresponding combination of index parameters, the index parameters including:
an identifier of a cross sectional plane perpendicular to the axis, a predetermined angle with respect to the axis, and a boundary type identifier corresponding to at least one of an epicardial boundary and an endocardial boundary.

8 . The method of claim 1 , wherein the boundary of the heart comprises an epicardial boundary and an endocardial boundary.

9 . The method of claim 8 , wherein the anchor points include a first group of anchor points corresponding to the epicardial boundary of the heart and a second group of anchor points corresponding to the endocardial boundary of the heart.

10 . A system for cardiac image rendering, comprising:
a hardware processor; a memory storing instructions that, when executed by the hardware processor, cause the system to: receive four-dimensional ultrasound image data generated by an ultrasound device directed at a heart, the image data comprising a time dimension and a plurality of spatial dimensions; generate, based on a time-dependent smoothing spline and the image data, a plurality of response vectors respectively corresponding to anchor points along a boundary of the heart, the anchor points measuring an angle and distance with respect to an axis of the heart; and generate, based on the response vectors, a mesh comprising locations of the anchor points at one or more times during a cardiac cycle; and display a graphical user interface including the image data and the anchor points rendered from the mesh, wherein the anchor points are positioned on the displayed image data at displayable locations along the boundary of the heart, and wherein at least one of the anchor points is selectively moveable in the graphical user interface and the mesh is updated in response to movement of the at least one anchor point.

11 . The system of claim 10 , wherein the instructions further cause the system to:
access a first parameter vector corresponding to the anchor points; weight at least a portion of the image data with the first parameter vector; generate smoothing spline values; and weight the smoothing spline values with a second parameter vector.

12 . The system of claim 11 , wherein the instructions further cause the system to generate the first parameter vector and the second parameter vector using a best-fit function.

13 . The system of claim 10 , wherein the instructions further cause the system to regenerate the response vectors in response to movement of the at least one anchor point on the graphical user interface.

14 . The system of claim 10 , wherein aligning the image data further comprises:
displaying the image data and a line corresponding to the axis; and receiving an input operation corresponding to the image data and reorienting the image data in response to the input operation.

15 . The system of claim 10 , wherein the instructions further cause the system to render an animation of the left ventricle of the heart based on the locations of the anchor points over the cardiac cycle.

16 . The system of claim 10 , wherein each anchor point is uniquely mapped to a corresponding combination of index parameters, the index parameters including: an identifier of a cross-sectional plane perpendicular to the axis; a predetermined angle with respect to the axis; and a boundary type identifier corresponding to at least one of an epicardial boundary and an endocardial boundary.

17 . The system of claim 10 , wherein the boundary of the heart comprises an epicardial boundary and an endocardial boundary.

18 . The system of claim 17 , wherein the anchor points include a first group of anchor points corresponding to the epicardial boundary of the heart and a second group of anchor points corresponding to the endocardial boundary of the heart.

Assignees

• Purdue Research Foundation

Inventors

• Goergen Craig Jonathan
• Damen Frederick William
• Lin Guang
• Newton David Taylor

Classifications

• G16H30/20

  for handling medical images, e.g. DICOM, HL7 or PACS · CPC title

• G16H50/20 Primary

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title

• G16H30/40 Primary

  for processing medical images, e.g. editing · CPC title