Device and method for determining actual tissue layer boundaries of a body

• US 9,579,079 B2
• Filed: 12/27/2011
• Issued: 02/28/2017
• Est. Priority Date: 01/05/2011
• Status: Active Grant

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Jeanne, Vincent, Maeueler, Sebastian, Shan, Caifeng
• Primary Examiner(s): KISH, JAMES M
• Application Number:
  US13/997,482
• Publication Number:
  US 20130289409A1
• Time in Patent Office: 1,890 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/4872 Body fat
• CPC Class Codes: A61B 5/7239 using differentiation including higher order derivatives
• CPC Class Codes: A61B 8/0858 involving measuring tissue layers, e.g. skin, interfaces
• CPC Class Codes: A61B 8/4254 using sensors mounted on the probe
• CPC Class Codes: A61B 8/46 Ultrasonic, sonic or infrasonic diagnostic devices with special arrangements for interfacing with the operator or the patient
• CPC Class Codes: G06T 7/0012 Biomedical image inspection

Abstract

The present invention relates to a device (8) for determining tissue layer boundaries of a body (14), comprising a probe (10) for acquiring (S12) two or more ultrasound images (36) at adjacent positions of a surface (12) of the body (14), a converter (44) for converting (S14) said ultrasound images (36) separately to depth signals (46), wherein a depth signal (46) is obtained by summing intensities of one of said ultrasound images (36) along a line (66) of substantially constant depth in the body (14), a detector (48) for detecting (S16) a set of candidate tissue layer boundaries (50) for an ultrasound image (36) by thresholding the depth signal (46) obtained for said ultrasound image (36), a selection means (52) for selecting (S18) from a set of candidate tissue layer boundaries (50) a nearest candidate tissue layer boundary (54) that is nearest to the surface (12) of the body (14), and a processing means (56) for determining (S20) an actual tissue layer boundary (58) from the nearest candidate tissue layer boundaries (54) obtained for various ultrasound images (36).

Claims

1. A device for determining actual tissue layer boundaries of a body, from two or more ultrasound images acquired via a probe at adjacent positions of a surface of the body, the device comprising:

a converter that separately converts said ultrasound images to depth signals, wherein a depth signal is obtained by summing intensities of a respective one of said ultrasound images along lines of substantially constant depth in the body;

a detector that separately detects a set of candidate tissue layer boundaries for a respective ultrasound image by thresholding the depth signal obtained for said respective ultrasound image;

a selector that separately selects from a set of candidate tissue layer boundaries for each respective ultrasound image a nearest candidate tissue layer boundary that is nearest to the surface of the body for the respective ultrasound image, wherein the selector further selects the nearest candidate tissue layer boundary only from among those candidate tissue layer boundaries that have a tissue boundary width exceeding a minimum tissue boundary width; and

a processor that determines an actual tissue layer boundary from the nearest candidate tissue layer boundaries selected for each respective ultrasound image of the two or more ultrasound images.

2. The device according to claim 1, wherein said nearest candidate tissue layer boundaries comprise depth values and wherein said processor further determines the actual tissue layer boundary based on averaging said nearest candidate tissue layer boundaries selected for various ones of the two or more ultrasound images.

3. The device according to claim 1, wherein said nearest candidate tissue layer boundaries comprise depth values and wherein said processor further determines the actual tissue layer boundary based on a relative frequency of different nearest candidate tissue layer boundaries selected for various ones of the two or more ultrasound images, further wherein the determined actual tissue layer boundary comprises the nearest candidate tissue layer boundary that occurs most frequently.

4. The device according to claim 1, wherein said detector further separately detects a set of candidate tissue layer boundaries for a respective ultrasound image by thresholding a weighted sum of said depth signal and a derivative of said depth signal obtained for said respective ultrasound image.

5. The device according to claim 1, further comprising:

a probe for acquiring said two or more ultrasound images at subsequent time points; and

a visual tracking device adapted to track, via a visual tracking algorithm, tissue layer boundaries across multiple ultrasound images acquired at subsequent time points, wherein an output of said visual tracking device provides a temporal coherence between said two or more ultrasound images to enable tissue layer boundaries in each ultrasound image to be detected, via the detector, with an increased accuracy, enabling the processor to determine a refined actual tissue layer boundary.

6. The device for determining actual tissue layer boundaries of a body according to claim 1, further comprising:

a probe for acquiring the two or more ultrasound images at adjacent positions of a surface of the body.

7. A device for estimating a fat-mass and/or fat-free mass of a body, comprising:

the device for determining actual tissue layer boundaries of a body according to claim 1; and

a body fat estimator device that estimates total fat-mass and/or fat-free mass values of the body in response to several actual tissue layer boundaries determined at different places of the body.

8. The device according to claim 7, wherein the body fat estimator device further estimates the total body fat-mass and/or fat-free mass values in response to one of more of a weighted sum of predetermined constants, an age of the body, a sum of actual tissue layer boundaries, a square of the sum of actual tissue layer boundaries, and/or a logarithm of the sum of actual tissue layer boundaries.

9. The device according to claim 7, further comprising:

a user interface that provides a user with instructions for placing the probe at certain locations on the body.

10. The device according to claim 7, further comprising:

a movement detector that detects movement of the probe, wherein the movement of the probe includes movement that is tangential to the surface of the body, wherein an output of the movement detector provides information for determining, via at least the processor, relative positions of the two or more ultrasound images acquired via the probe.

11. The device according to claim 10, further comprising a a comparator that compares properties of said detected movement in response to the determined relative positions of the two or more acquired ultrasound images with one or more properties of an expected movement.

12. A method for determining actual tissue layer boundaries of a body from two or more ultrasound images acquired via a probe at adjacent positions of a surface of the body, the method comprising the steps of:

converting said ultrasound images separately to depth signals, wherein a depth signal is obtained by summing intensities of a respective one of said ultrasound images along lines of substantially equal depth in the body;

detecting a set of candidate tissue layer boundaries separately for a respective ultrasound image by thresholding the depth signal obtained for said respective ultrasound image;

selecting from a set of candidate tissue layer boundaries, separately for each respective ultrasound image, a nearest candidate tissue layer boundary that is nearest to the surface of the body, wherein selecting further comprises selecting the nearest candidate tissue layer boundary only from among those candidate tissue layer boundaries that have a tissue boundary width exceeding a minimum tissue boundary width; and

determining an actual tissue layer boundary from the nearest candidate tissue layer boundaries selected for each respective ultrasound image of the two or more ultrasound images.

13. A method for estimating fat-mass and/or fat-free mass values of a body, comprising the steps of:

determining actual tissue layer boundaries according to the method of claim 12 at several positions of the body; and

estimating, via a body fat estimator, a total body fat-mass and/or fat-free mass value of the body in response to several actual tissue layer boundaries determined at the several positions of the body.

14. A non-transitory computer-readable medium embodied with a computer program that comprises program code executable on a computer for causing the computer to carry out the steps of the method as claimed in claim 12.