IP Library › Granted Patent US 11,217,000
Granted Patent B2
US 11,217,000 · App. 15/640,944 · Granted Jan 4, 2022

Ultrasound image processing to render three-dimensional images from two-dimensional images

Inventor: Praveen Dala-Krishna (Sicklerville, NJ)
Assignee: St. Jude Medical, Atrial Fibrillation Division, Inc.
G06T13/20A61B8/0883A61B8/12A61B8/466A61B8/483A61B8/5284G06T7/0012G06T7/12G06T7/33G06T7/80G06T15/02A61B8/4245A61B8/445A61B8/4483A61B8/543G06T2200/08G06T2207/10068G06T2207/10136G06T2207/30048
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Quick Facts
Patent No.
US 11,217,000
App. No.
15/640,944
Granted
Jan 4, 2022
Kind
B2
Abstract

Methods for processing two-dimensional ultrasound images from an intracardiac ultrasound imaging catheter provide improved image quality and enable generating three-dimensional composite images of the heart. Two-dimensional ultrasound images are obtained and stored in conjunction with correlating information, such as time or an electrocardiogram. Images related to particular conditions or configurations of the heart can be processed in combination to reduce image noise and increase resolution. Images may be processed to recognize structure edges, and the location of structure edges used to generate cartoon rendered images of the structure. Structure locations may be averaged over several images to remove noise, distortions and blurring from movement.

Claims (21)

1. A method for processing ultrasound images of tissue, comprising:

receiving and storing a plurality of ultrasound image frames;

receiving and storing a rotational orientation of a transducer corresponding to each of the plurality of ultrasound image frames;

detecting edges of tissue structures within each of the plurality of image frames;

determining a spatial location, relative to the transducer, of each of the detected edges of tissue structures in each of the plurality of image frames;

receiving and storing an electrocardiogram signal corresponding in time of recording to the plurality of ultrasound image frames;

performing the operations of statistically analyzing the spatial locations of the detected edges of tissue structures among a subset of the plurality of image frames with an approximately equal transducer rotational orientation and generating a cartoon rendered image frame of the tissue structures based upon representative spatial locations, relative to the transducer, imaged from the approximately equal transducer rotational orientation for a subset of the plurality of image frames corresponding to a trigger event in the electrocardiogram signal; and

combining the plurality of cartoon rendered image frames within the subset of the plurality of image frames corresponding to the trigger event in the electrocardiogram signal using their respective corresponding approximately equal transducer rotation orientations to generate a three-dimensional cartoon rendering of tissue structure corresponding to the trigger event.

2. The method of claim 1 , wherein the statistically analyzing the spatial locations of the detected edges of tissue structures among the plurality of image frames comprises determining a weighted average location of the detected edges of tissue structures among the plurality of image frames.

3. The method of claim 1 , wherein the statistically analyzing the spatial locations of the detected edges of tissue structures among the plurality of image frames comprises calculating a moving average of the spatial locations of the detected edges among two or more image frames selected from the plurality of image frames.

4. A computer for use in intracardiac ultrasound imaging, comprising:

a processor configured with processor-executable instructions configured to cause the processor to perform operations comprising:

storing a plurality of ultrasound image frames in memory;

storing in memory a rotational orientation of a transducer corresponding to each of the plurality of ultrasound image frames;

detecting edges of tissue structures within each of the plurality of image frames;

determining a spatial location, relative to the transducer, of each of the detected edges in each of the plurality of image frames;

receiving and storing an electrocardiogram signal corresponding in time of recording to the plurality of ultrasound image frames;

performing the operations of statistically analyzing the spatial locations of the detected edges among a subset of the plurality of image frames with an approximately equal transducer rotational orientation and generating a cartoon rendered image frame of the tissue structures based upon representative spatial locations, relative to the transducer, imaged from the approximately equal transducer rotational orientation for a subset of the plurality of image frames corresponding to a trigger event in the electrocardiogram signal; and

combining the plurality of cartoon rendered image frames within the subset of the plurality of image frames corresponding to the trigger event in the electrocardiogram signal using their respective corresponding approximately equal transducer rotation orientations to generate a three-dimensional cartoon rendering of tissue structure corresponding to the trigger event.

5. The computer of claim 4 , wherein the processor is configured with processor-executable instructions configured to cause the processor to perform operations further comprising time-gating the plurality of ultrasound image frames with the trigger event.

6. The computer of claim 5 , wherein the processor is configured with processor-executable instructions configured to cause the processor to perform operations further comprising time-gating the plurality of ultrasound image frames with the trigger event by using the trigger event to trigger at least one of the following: (a) generation of the plurality of ultrasound image frames, or (b) retrieval of stored ultrasound image frames.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 8, 2018
From: DALA-KRISHNA, PRAVEEN
To: ST JUDE MEDICAL, ATRIAL FIBRILLATION DIV., INC.
Reel/Frame 047446/0522 →
Continuity (4)
Division 14095628 · Dec 3, 2013
Continuation 13290696 · Nov 7, 2011
Continuation 11772161 · Jun 30, 2007
Related Publication 20170301124A1 · Oct 19, 2017
Cited By (2)
US 12,217,361 US 12,667,328