Granted Patent B2

US 12,469,156 · App. 17/924,033 · Granted Nov 11, 2025

Inventors: Jing Ping Xu (Shanghai, CN); Anthony M. Gades (Snohomish, WA)

Assignee: KONINKLIJKE PHILIPS N.V.

G06T7/60G06T7/0012G06T7/11G06T7/168G06T11/60G06T2207/10132G06T2207/20061G06T2207/20081G06T2207/30008

Abstract

Claims (44)

1 . A system for making a measurement of a hip in an ultrasound image, the system 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 an ultrasound image of a hip including an ilium and a femur head;

obtain a spatial coherence map associated with one or more lags of ultrasound waves associated with the ultrasound image;

determine a quality metric based on the ultrasound image of the hip and the spatial coherence map, wherein the quality metric indicates a suitability of the ultrasound image for making the measurement of the hip; and

if the quality metric indicates that the ultrasound image is above a threshold quality, indicate that the ultrasound image is suitable for making the measurement of the hip.

2 . A system as in claim 1 wherein the quality metric is based on:

a measure of spatial coherence at the ilium or femur head;

a measure of a contrast between the ilium and noise in a region neighboring the ilium; and/or

a measure of a diameter of the femur head.

3 . A system as in claim 1 wherein the quality metric indicates that the ultrasound image is above the threshold quality if:

a coherence value associated with the ilium is above a first threshold.

4 . A system as in claim 1 wherein the quality metric indicates that the ultrasound image is above the threshold quality if:

a measure of a contrast between the ilium and noise in a region neighbouring the ilium is above a second threshold.

5 . A system as in claim 1 wherein the quality metric indicates that the ultrasound image is above the threshold quality if:

the ultrasound image comprises a plane through the femur head wherein a diameter of the femur head is at its maximum value.

6 . A system as in claim 2 wherein the quality metric indicates that the ultrasound image is above the threshold quality if:

a coherence value associated with the femur head is above a third threshold.

7 . A system as in claim 1 wherein the processor is further caused to use the ultrasound image to determine the measurement of the hip.

8 . A system as in claim 7 wherein the processor being caused to use the ultrasound image to determine the measurement of the hip comprises the processor being caused to:

combine the ultrasound image and the spatial coherence map into a combined image;

segment the ilium and femur head in the combined image into a segmentation of the ilium and femur head; and

use the segmentation of the ilium and femur head to make the measurement of the hip.

9 . A system as in claim 8 wherein the processor being caused to use the segmentation of the ilium and femur head to make the measurement of the hip comprises the processor being caused to:

fit an ellipse to a segment of the segmentation corresponding to the femur head, using a Hough transform.

10 . A system as in claim 9 wherein the processor is further caused to:

send an instruction to a display to cause the display to mark the fitted ellipse and/or the segments of the segmentation corresponding to the ilium and the femur head onto the ultrasound image; and

make the measurement of the hip relative to the marked fitted ellipse and/or the segmentation corresponding to the ilium and the femur head.

11 . A system as in claim 1 wherein the processor being caused to obtain the ultrasound image of the hip comprises the processor being caused to:

receive a plurality of two dimensional ultrasound images;

use a model trained using a machine learning process to determine a best image for later measurement from the plurality of two dimensional ultrasound images; and

select the best image for later measurement as the obtained ultrasound image.

12 . A system as in claim 1 wherein the processor being caused to obtain the ultrasound image comprises the processor being caused to:

receive a plurality of two dimensional ultrasound images;

use a model trained using a machine learning process to reconstruct a three-dimensional volume from the plurality of two dimensional ultrasound images; and

select a slice through the three dimensional volume as the obtained ultrasound image.

13 . A system as in claim 1 wherein the processor is further caused to use the measurement of the hip to diagnose developmental dysplasia of the hip, DDH.

14 . A method for making a measurement of a hip in an ultrasound image, the method comprising:

obtaining an ultrasound image of a hip including an ilium and a femur head;

obtaining a spatial coherence map associated with one or more lags of the ultrasound waves associated with the ultrasound image;

determining a quality metric based on the ultrasound image of the hip and the spatial coherence map, wherein the quality metric indicates the suitability of the ultrasound image for making the measurement of the hip; and

if the quality metric indicates that the ultrasound image is above a threshold quality, indicating that the ultrasound image is suitable for making the measurement of the hip.

15 . A computer program product comprising a non-transitory computer readable medium, the non-transitory computer readable medium having computer readable code embodied therein, the computer readable code being configured such that, on execution by a suitable computer or processor, the computer or processor is caused to perform the method as claimed in claim 14 .

Assignments (1)

Priority Claims (2)

Continuity (1)

References Cited (24)