Granted Patent B2

US 12,561,802 · App. 18/265,016 · Granted Feb 24, 2026

Inventors: Jingping Xu (Shanghai, CN); Xiaowei Hong (Shanghai, CN); Zhouye Chen (Shanghai, CN); Yishuang Meng (Shanghai, CN)

Assignee: KONINKLIJKE PHILIPS N.V.

G06T7/0012A61B8/0858G06T7/70G06T2207/10016G06T2207/10132G06T2207/20081G06T2207/20101G06T2207/30168

Abstract

Claims (59)

1 . An apparatus for monitoring diastasis of rectus abdominis muscles of a subject, the apparatus comprising:

a memory comprising instruction data representing a set of instructions; and

a processor configured to communicate with the memory and to execute the set of instructions, wherein the set of instructions, when executed by the processor, cause the processor to:

obtain a sequence of ultrasound images of the rectus abdominis muscles from an ultrasound system, the sequence of ultrasound images having been obtained using an ultrasound transducer of the ultrasound system tilted at different angles to a surface of skin of the subject and thus having different angles of ingress of ultrasound waves into the skin;

select an ultrasound image from the sequence of ultrasound images, the selected ultrasound image comprising an image in the sequence in which a region of the rectus abdominis muscles appears clearest compared to other images in the sequence of ultrasound images; and

make a measurement of the rectus abdominis muscles comprising locating a surface of the rectus abdominis muscles in image data automatically extracted from the selected ultrasound image.

2 . The apparatus as in claim 1 , wherein the processor being caused to select the ultrasound image from the sequence of ultrasound images comprises the processor being caused to:

select the ultrasound image in which the region of the rectus abdominis muscles appears brightest compared to other images in the sequence of ultrasound images.

3 . The apparatus as in claim 1 , wherein the processor is further caused to compare brightness of the selected ultrasound image to a threshold brightness; and

when the brightness is less than the threshold brightness, send an instruction to a user display to cause the user display to indicate that a new sequence of ultrasound images of the rectus abdominis muscles should be obtained; and

repeat selecting another ultrasound image for the new sequence of ultrasound images, making a measurement of the rectus abdominis muscles in the selected another ultrasound image.

4 . The apparatus as in claim 1 , wherein the processor being caused to select the ultrasound image from the sequence of ultrasound images comprises the processor being caused to:

select the ultrasound image in which the region of the rectus abdominis muscles appears sharpest compared to other images in the sequence of ultrasound images.

5 . The apparatus as in claim 1 , wherein the processor being caused to select the ultrasound image from the sequence of ultrasound images comprises the processor being caused to:

select the ultrasound image having a maximum average intensity.

6 . The apparatus as in claim 1 , wherein the processor being caused to select the ultrasound image from the sequence of ultrasound images comprises the processor being caused to:

determine a measure of difference in intensity between neighbouring pairs of images in the sequence of ultrasound images; and

select the ultrasound image having a largest measure of difference in intensity.

7 . The apparatus as in claim 1 , wherein the processor (being caused to the select ultrasound image from the sequence of ultrasound images comprises the processor being caused to:

determine a measure of correlation between neighbouring pairs of images in the sequence of ultrasound images; and

select the ultrasound image having a largest measure of correlation.

8 . The apparatus as in claim 1 , wherein the sequence of ultrasound images comprises images having been obtained over a midline of an anterior abdomen towards a pubic symphysis.

9 . The apparatus as in claim 1 , wherein said different angles comprise different angles spanning a range greater than about −10 degrees to about +10 degrees from a transverse plane; or spanning a range greater than about −20 degrees to about +20 degrees from the transverse plane.

10 . The apparatus as in claim 1 wherein the measurement of the rectus abdominis muscles comprises a measure of muscle thickness and/or a measure of separation of the rectus abdominis muscles.

11 . The apparatus as in claim 10 , wherein the measurement is for use in monitoring diastasis recti in the subject.

12 . An ultrasound imaging system comprising the apparatus of claim 1 and the ultrasound transducer with which to obtain the sequence of ultrasound images.

13 . A computer implemented method for use in analyzing ultrasound image data of rectus abdominis muscles of a subject, the method comprising:

obtaining a sequence of ultrasound images of the rectus abdominis muscles, the sequence of ultrasound images having been obtained using an ultrasound transducer tilted at different angles to a surface of skin of the subject and thus having different angles of ingress of ultrasound waves into the skin;

selecting an ultrasound image from the sequence of ultrasound images, the selected ultrasound image comprising an image in the sequence in which a region of the rectus abdominis muscles appears clearest compared to other images in the sequence of ultrasound images; and

making a measurement of the rectus abdominis muscles in the selected ultrasound image, wherein making the measurement of the rectus abdominis muscles comprises locating a surface of the rectus abdominis muscles in the selected image by:

segmentation;

determining an orientation of each surface in the selected image compared to the surface of the skin, and selecting a surface as the surface of the rectus abdominis muscles based on the determined orientations;

using one or more user-input locations on the surface of the rectus abdominis muscles as seed points to trace the surface of the rectus abdominis muscles in the selected image; and/or

using a model trained using a machine learning process to predict the location of the surface of the rectus abdominis muscles.

14 . An apparatus for use in analyzing ultrasound image data of rectus abdominis muscles of a subject, the apparatus comprising:

a memory comprising instruction data representing a set of instructions; and

a processor configured to communicate with the memory and to execute the set of instructions, wherein the set of instructions, when executed by the processor, cause the processor to:

obtain a sequence of ultrasound images of the rectus abdominis muscles, the sequence of ultrasound images having been obtained using an ultrasound transducer tilted at different angles to a surface of skin of the subject and thus having different angles of ingress of ultrasound waves into the skin;

select an ultrasound image from the sequence of ultrasound images, the selected ultrasound image comprising an image in the sequence in which a region of the rectus abdominis muscles appears clearest compared to other images in the sequence of ultrasound images; and

make a measurement of the rectus abdominis muscles in the selected ultrasound image wherein making the measurement of the rectus abdominis muscles comprises locating a surface of the rectus abdominis muscles in the selected image by:

segmentation;

determining an orientation of each surface in the selected image compared to the surface of the skin, and selecting a surface as the surface of the rectus abdominis muscles based on the determined orientations;

using one or more user-input locations on the surface of the rectus abdominis muscles as seed points to trace the surface of the rectus abdominis muscles in the selected image; and/or

using a model trained using a machine learning process to predict the location of the surface of the rectus abdominis muscles.

15 . The apparatus as in claim 14 , wherein the processor being caused to select the ultrasound image from the sequence of ultrasound images comprises the processor being caused to:

select the ultrasound image in which the region of the rectus abdominis muscles appears brightest compared to other images in the sequence of ultrasound images.

16 . The apparatus as in claim 14 , wherein the processor is further caused to compare brightness of the selected ultrasound image to a threshold brightness; and

when the brightness is less than the threshold brightness, send an instruction to a user display to cause the user display to indicate that a new sequence of ultrasound images of the rectus abdominis muscles should be obtained; and

repeat selecting another ultrasound image for the new sequence of ultrasound images, making a measurement of the rectus abdominis muscles in the selected another ultrasound image.

17 . The apparatus as in claim 14 , wherein the processor being caused to select the ultrasound image from the sequence of ultrasound images comprises the processor being caused to:

select the ultrasound image in which the region of the rectus abdominis muscles appears sharpest compared to other images in the sequence of ultrasound images, or

select the ultrasound image having a maximum average intensity.

18 . The apparatus as in claim 14 , wherein the processor being caused to select the ultrasound image from the sequence of ultrasound images comprises the processor being caused to:

determine a measure of difference in intensity between neighbouring pairs of images in the sequence of ultrasound images; and

select the ultrasound image having a largest measure of difference in intensity.

19 . The apparatus as in claim 14 , wherein the processor being caused to select the ultrasound image from the sequence of ultrasound images comprises the processor being caused to:

determine a measure of correlation between neighbouring pairs of images in the sequence of ultrasound images; and

select the ultrasound image having a largest measure of correlation.

20 . The apparatus as in claim 14 , wherein the sequence of ultrasound images comprises images having been obtained over a midline of an anterior abdomen towards a pubic symphysis.

Assignments (1)

Priority Claims (2)

Continuity (1)

References Cited (24)