Motion tracking for medical imaging

• US 20050096543A1
• Filed: 06/04/2004
• Published: 05/05/2005
• Est. Priority Date: 11/03/2003
• Status: Abandoned Application

• Current Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Original Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Holladay, Matthew M., Fan, Liexiang, Gustafson, David E., Jackson, John I.
• Application Number:
  US10/861,268
• Publication Number:
  US 20050096543A1
• Time in Patent Office: Days
• US Class Current: 600/441
• CPC Class Codes: A61B 6/503 for diagnosis of the heart
• CPC Class Codes: A61B 6/504 for diagnosis of blood vessels, e.g. by angiography
• CPC Class Codes: A61B 8/0891 for diagnosis of blood vessels
• CPC Class Codes: A61B 8/488 involving Doppler signals
• CPC Class Codes: A61B 8/5276 due to motion
• CPC Class Codes: G01S 15/8981 Discriminating between fixed and moving objects or between objects moving at different speeds, e.g. wall clutter filter
• CPC Class Codes: G01S 15/8988 Colour Doppler imaging
• CPC Class Codes: G01S 7/52036 using analysis of echo signal for target characterisation
• CPC Class Codes: G01S 7/52066 Time-position or time-motion displays
• CPC Class Codes: G01S 7/52071 Multicolour displays; using colour coding; Optimising colour or information content in displays, e.g. parametric imaging
• CPC Class Codes: G06T 2207/10132 Ultrasound image
• CPC Class Codes: G06T 7/248 involving reference images or patches

Abstract

Motion of a region of interest is tracked in medical imaging. For example, velocity information, such as colored Doppler velocity estimates independent of tracking from one image to another image, are used to indicate an amount of motion between the images. The velocity assisted tracking may be used for one dimensional tracking (e.g., for M-mode images), for tracking in two dimensional images, or for tracking between three dimensional representations. As an alternative or additional example, physiological signal information is used to assist in the tracking determination. A physiological signal may be used to model the likely movement of an organ being imaged to control or adjust matching search patterns and limits. The modeling may also be used to independently determine movement or for tracking. The independently determined tracking is then combined with tracking based on medical data or other techniques. The cost function or other metric for determining the sufficiency or a match may include information modeled from or selected as a function of the physiological cycle signal in addition to other matching calculations. The fusion of physiological signal information with image data tracking may improve the tracking.

Claims

1. A method for tracking motion of a tissue object region of interest in medical imaging, the method comprising:

(a) identifying the tissue object region of interest in a first image;

(b) estimating a velocity for at least one location associated with the tissue object region of interest; and

(c) determining a position of the tissue object region of interest in a second image as a function of the velocity, the first image acquired at a different time than the second image.

2. The method of claim 1 wherein (a) comprises receiving a user selected indication of the tissue object region of interest.

3. The method of claim 1 wherein (b) comprises obtaining a tissue Doppler velocity estimate of a velocity of the object.

4. The method of claim 1 further comprising:

(d) determining a distance as a function of the velocity;

wherein (c) comprises determining the position as a function of the distance and an amount of time between the first image and the second image.

5. The method of claim 1 further comprising:

(d) indicating the position on the second image.

6. The method of claim 1 wherein the first image comprises a first one dimensional portion of an M-mode image and the second image comprises a second one dimensional portion of the M-mode image, the first portion associated with a different time than the second portion on the m-mode image.

7. The method of claim 1 wherein (b) comprises estimating the velocity as a one-dimensional estimate along at least one scan line.

8. The method of claim 7 further comprising:

(d) determining a direction of motion associated with the velocity, the direction independent of a scan line direction; and

(e) angle correcting the velocity as a function of the direction.

9. The method of claim 1 wherein the first and second images are multi-dimensional images;

further comprising;

(d) correlating at least a portion of the first image with at least a portion of the second image;

wherein (c) comprises determining the position as a function of the velocity and the correlation.

10. The method of claim 1 further comprising:

(d) tracking a physiological cycle;

(e) repeating (b) and (c) for each of a plurality of images within the physiological cycle, the plurality of images including the second image;

(f) adjusting the position determined for at least some of the repeats of (c) pursuant to (e) as a function of an expected position at a time in the physiological cycle.

11. The method of claim 1 wherein the first and second images comprise two images of a plurality of stored images;

further comprising;

(d) identifying the tissue object region of interest in a third image; and

(e) adjusting the position as a function of the identified tissue object region of interest in the third image.

29. The method of claim 1 wherein (b) comprises estimating the velocity for each of a plurality of sub-regions of the tissue object region of interest;

and

further comprising;

(d) modifying a shape of the tissue object region of interest as a function of differences in the velocity for each of the plurality of sub-regions.

12. A system for tracking motion of a tissue object region of interest in medical imaging, the system comprising:

a display operable to display a sequence of images;

a memory operable to store an identification of the tissue object region of interest in a first image of the sequence of images;

a velocity estimate processor operable to estimate a velocity for at least one location associated with the tissue object region of interest; and

a further processor operable to determine a position of the tissue object region of interest in a second image of the sequence of images as a function of the velocity, the first image acquired at a different time than the second image.

13. The system of claim 12 further comprising a user interface, wherein the identification of the tissue object region of interest in the first image is responsive to input from the user interface.

14. The system of claim 12 wherein the display is operable to indicate the position of the tissue object region of interest in a plurality of images of the sequence of images including the second image and wherein the further processor is operable to determine different positions as a function of different velocity estimates for respective ones of the plurality of images.

15. The system of claim 12 wherein the sequence of images comprise at least one of:

(i) temporally different portions of an M-mode image, (ii) a set of two-dimensional B-mode images, (iii) a set of two-dimensional Doppler images, (iv) a set of three dimensional representations or (v) combinations thereof.

16. A method for tracking a region of interest in medical imaging, the method comprising:

(a) identifying the region of interest in a first image;

(b) obtaining a physiological cycle signal; and

(c) determining a first position of the region of interest in a second image as a function of the physiological cycle signal, the second image different than the first image.

17. The method of claim 16 wherein (c) comprises modeling motion of the region of interest, the first position being a function of the model.

18. The method of claim 17 further comprising:

(d) adjusting a model used in (c) as a function of the region of interest.

19. The method of claim 16 further comprising:

(d) matching a first portion of the first image with a second portion of the second image;

wherein (c) comprises determining the first position as a function of both the matching and the physiological cycle signal.

20. The method of claim 19 further comprising:

(e) modeling motion of the region of interest from the first image to the second image as a function of the physiological cycle signal;

wherein (c) comprises determining the first position as a function of both the matching and the modeling.

21. The method of claim 20 wherein (c) and (d) comprise determining a first match as a function of correlation of the first portion to the second portion and a deviation from the modeled motion.

22. The method of claim 16 wherein (b) comprises receiving an ECG signal.

23. The method of claim 16 further comprising:

(d) matching a first portion of the first image with a second portion of the second image;

wherein (c) comprises limiting a search region of the matching of (d) as a function of the physiological signal.

24. The method of claim 16 further comprising:

(d) matching a first portion of the first image with a second portion of the second image;

wherein (c) comprises guiding a search for a sufficient match of (d) as a function of the physiological signal.

25. The method of claim 16 wherein (c) comprises biasing the first position to be at a same location for images within the sequence of images for a same portion of a physiological cycle associated with the physiological cycle signal.

26. A method for tracking a region of interest in medical imaging, the method comprising:

(a) obtaining a first estimate of a position of a region of interest in a first image relative to a second image as a function of a first type of data;

(b) obtaining a second estimate of the position of the region of interest in the first image relative to the second image as a function of a second type of data different than the first type of data; and

(c) identifying the position as a function of the first and second estimates.

27. The method of claim 26 wherein (a) comprises matching a first portion of the first image with a second portion of the second image, the first and second images being responsive to ultrasound data, and wherein (b) comprises modeling a change in position as a function of a physiological cycle signal.

28. The method of claim 26 wherein (a) comprises matching a first portion of the first image with a second portion of the second image, the first and second images being responsive to ultrasound data, and wherein (b) comprises obtaining the second estimate as a function of a velocity estimate.