Granted Patent B2

US 12,511,755 · App. 19/199,038 · Granted Dec 30, 2025

Inventors: Andrew John Healey (Moss, NO); Svein Kvåle (Ås, NO); Ola Myhre (Haslum, NO)

Assignee: EXACT THERAPEUTICS AS

G06T7/11G06T7/0012G06T2207/10081G06T2207/10088G06T2207/10132G06T2207/30008G06T2207/30024G06T2207/30104

Abstract

Claims (77)

1 . A method for reconfiguring an ultrasound source that provides an ultrasound dose, the method comprising:

calculating a unique ultrasound propagation correction factor for a specific ultrasound propagation path through a particular region of interest by:

creating a medium property map of the region of interest, wherein the medium property map provides a plurality of different medium property values in different segments of the region of interest dependent on a medium within each of said segments, comprising:

scanning an image of the region of interest, wherein the region of interest comprises a target treatment area and a surrounding region of the target treatment area;

processing, by an image processor, the image to identify different components of the region of interest; and

segmenting and categorizing the different components into predetermined media categories;

calculating a medium property value associated with each media category, comprising:

retrieving a standard medium property value associated with each media category from a database;

estimating a category-specific ultrasound coupling bubble element correction to the standard medium property value resulting from presence of at least one ultrasound coupling bubble element in at least one component; and

adjusting the medium property value of the at least one component to account for the respective category-specific ultrasound coupling bubble element correction;

attributing said medium property value to each respective component of the segmented region of interest;

delineating the propagation path from an ultrasound source to the target treatment region;

compiling the medium property values for each segment over the propagation path to calculate the unique propagation correction factor; and

using the unique propagation correction factor to indicate a delivered ultrasound dose delivered to the target treatment area; and

reconfiguring the ultrasound source that provides the ultrasound dose in view of the delivered ultrasound dose.

2 . The method of claim 1 , wherein the media categories comprise at least one of the group consisting of:

different tissue types;

different tissue types afflicted by one or more particular diseases;

a fluid; and

a gas.

3 . The method of claim 2 , wherein the different tissue types comprise one or more of the group consisting of:

soft tissue comprising fat, muscle, parenchyma, tendons and ligaments; and

hard tissue comprising bone.

4 . The method of claim 1 , wherein the image scan comprises one or more of the group consisting of:

a computer tomography image; and

a magnetic resonance image.

5 . The method of claim 1 , wherein the at least one ultrasound coupling bubble element comprises one or more of the group consisting of:

contrast agent microbubbles;

cavitation seeds;

large microbubbles;

acoustic cluster therapy (ACT) bubble technology ultrasound coupling bubble elements, wherein the ACT bubble technology ultrasound coupling bubble elements comprise:

ACT microbubble clusters; and

activated ACT bubbles.

6 . The method of claim 5 , wherein the at least one ultrasound coupling bubble element comprises contrast agent microbubbles and wherein estimating a contrast agent microbubble correction comprises:

retrieving or estimating contrast agent microbubble parameters, wherein the contrast agent microbubble parameters comprise:

a value for a dose of contrast agent microbubbles administered;

contrast agent attenuation per unit concentration;

a blood volume of a subject;

a cardiac output of the subject;

a value of blood volume associated with each category;

arrival times after intravenous administration of the contrast agent for each category; and

a time concentration curve; and

using the contrast agent parameters to calculate a contrast agent correction for each category.

7 . The method of claim 6 , wherein calculating the correction resulting from the presence of contrast agent in each category is based on contrast mode imaging ultrasound.

8 . The method of claim 5 , wherein the at least one ultrasound coupling bubble element comprises ACT bubble technology ultrasound coupling bubble elements and wherein calculating an additional ACT bubble correction comprises:

estimating additional correction resulting from ACT microbubble clusters in the presence of the high frequency activation ultrasound;

estimating additional correction resulting from generated ACT bubbles in the presence of high frequency activation ultrasound; and

estimating additional correction resulting from ACT bubbles in the presence of low frequency enhancement ultrasound.

9 . The method of claim 8 , wherein calculating additional ACT bubble correction further comprises:

estimating a number of ACT bubbles in the categories associated with each component by:

retrieving or estimating one or more ACT bubble parameters, wherein the ACT bubble parameters comprise:

a blood volume of a subject;

a cardiac output of the subject;

a perfusion of each category of components; and

a time concentration curve; and

calculating the number of ACT bubbles delivered to each of the components by multiplying a fraction of the cardiac output that accounts for the perfusion of each category of components by a yield of activation of ACT bubble clusters.

10 . The method of claim 9 , wherein the estimation of the number of ACT bubbles in the categories associated with each segment comprise a time dependency by:

retrieving a value for a lifetime of an ACT bubble in each category to model a reduction of the number of ACT bubbles in each category over time.

11 . The method of claim 8 , wherein calculating the additional correction resulting from the presence of ACT bubbles in each category is based on fundamental B-mode imaging ultrasound.

12 . The method of claim 1 , further comprising using the unique propagation correction factor to calculate at least one of the group consisting of: a resulting pressure, a resulting mechanical index, a resulting intensity, a resulting power and a resulting thermal index, which are indications of delivered ultrasound dose.

13 . The method of claim 1 , wherein the image processor segments and categorizes the different components of the region of interest by:

identifying boundaries between different patterns of the image;

analyzing the pattern within the boundaries; and

comparing each of the patterns to image patterns of known tissue type to find a match.

14 . The method of claim 13 , wherein the method is a machine learning method, comprising, for wherein accumulating each processed image, along with associated image data, as training data to provide more accurate segmentation and categorization by the image processor over time.

15 . The method of claim 1 , further comprising:

tracking an ultrasound probe's position, the ultrasound probe connected to the ultrasound source;

re-evaluating one or more propagation correction factors with movement of the probe position; and

storing one or more propagation correction factors per probe position to reduce a computational load.

16 . The method of claim 1 , further comprising:

tracking an in-plane and out-of-plane rhythmic movement of the medium of the region of interest;

re-evaluating one or more propagation correction factors for each in-plane and out-of-plane position of the moving medium; and

storing the one or more propagation correction factors for each in-plane and out-of-plane position of the moving medium.

17 . The method of claim 16 , further comprising tracking the in-plane and out-of-plane rhythmic movement of the medium through speckle-tracking or machine learning algorithms.

18 . The method of claim 1 , wherein the medium property comprises at least one of the group consisting of: attenuation, sound speed, shear wave velocity, acoustic impedance, coefficients of non-linear compressibility, and coefficients of dispersion.

19 . The method of claim 18 , wherein the medium property further comprises one or more derived properties that can be derived from any one, or any combination, of the medium properties listed.

20 . A non-transitory computer-readable storage medium, the computer-readable storage medium having stored thereon instructions that when executed on a processor perform the method of claim 1 .

Assignments (1)

Continuity (2)

References Cited (100)