ULTRASOUND LOCATION OF ANATOMICAL LANDMARKS

• US 20070167771A1
• Filed: 03/09/2007
• Published: 07/19/2007
• Est. Priority Date: 12/17/2002
• Status: Abandoned Application

• Current Assignee: GE Medical Systems Global Technology Company LLC (GE Healthcare Technologies, Inc.)
• Original Assignee: GE Medical Systems Global Technology Company LLC (GE Healthcare Technologies, Inc.)
• Inventors: Olstad, Bjorn
• Application Number:
  US11/684,507
• Publication Number:
  US 20070167771A1
• Time in Patent Office: Days
• US Class Current: 600/437
• CPC Class Codes: A61B 8/08 Detecting organic movements or changes, e.g. tumours, cysts, swellings A61B8/02 - A61B8/06 take precedence
• CPC Class Codes: A61B 8/0883 for diagnosis of the heart

Abstract

An ultrasound machine is disclosed that includes a method and apparatus for generating an image responsive to moving cardiac structure and for locating anatomical landmarks of the heart by generating received signals in response to ultrasound waves transmitted into and then backscattered from the moving cardiac structure over a time period. A processor is responsive to the received signals to generate a set of analytic parameter values representing movement of the cardiac structure over the time period and analyzes elements of the set of analytic parameter values to automatically extract position information of the anatomical landmarks. A display is arranged to overlay indicia onto the image corresponding to the position information of the anatomical landmarks. The positions of the anatomical landmarks are tracked in real-time.

Claims

1. In an ultrasound system for generating an image responsive to moving cardiac structure within a subject, an apparatus for locating anatomical landmarks of said moving cardiac structure comprising:

a front-end arranged to transmit ultrasound waves into the moving cardiac structure and to generate received signals in response to ultrasound waves backscattered from the moving cardiac structure over a time period; and

a processor responsive to said received signals to generate a set of analytic parameter values representing movement along a segment of said moving cardiac structure over said time period, wherein said processor generates said set of analytic parameter values for a given sampled anatomical point within the moving cardiac structure by converting a set of estimated values in a motion parameter profile, and said processor analyzing elements of said set of analytic parameter values to automatically extract position information of said anatomical landmarks.

2. The system of claim 1, wherein said processor generates said set of analytic parameter values by computing a series of time integrals (S₁, S₂ . . . , S_n) in which

S_i=T*(V₁+V_s+ . . . V_i)

where T is the time delay between two consecutive estimated values, and S_i is a longitudinal distance that a sample of the moving cardiac tissue has moved at time segment T_i.

3. The system of claim 2, wherein said processor further comprises a memory, said processor storing said set of analytic parameter values for each designated anatomical point of the moving cardiac structure as a sampled array of motion values.

4. The system of claim 1, wherein said analytic parameter values comprise a velocity value and a motion value, wherein said processor selects said velocity value for a designated anatomical point in the image from a spatial set of estimated tissue velocity values corresponding to a first time, and said processor computes said motion value for the designated anatomical point using said velocity value.

5. The system of claim 4, wherein said processor comprises a memory, said processor storing said velocity value in a tracked velocity parameter profile array, and said processor stores said motion value in said motion parameter profile.

6. The system of claim 1, wherein said processor locates an apex and AV-plane of the moving cardiac structure by peak-detecting a motion gradient profile over a depth.

7. The system of claim 6, wherein said processor determines the AV-plane by detecting a positive peak, and said processor determines the apex by detecting a negative peak.

8. The system of claim 1, wherein said processor automatically labels discrete anatomical points in the image at longitudinal depths of anatomical landmarks with indicia.

9. In an ultrasound machine for generating an image responsive to moving cardiac structure within a subject, a method for locating anatomical landmarks of said moving cardiac structure comprising:

transmitting ultrasound waves into said moving cardiac structure and generating received signals in response to ultrasound waves backscattered from said moving cardiac structure over a time period;

generating a set of analytic parameter values representing movement along a segment of said moving cardiac structure over said time period in response to said received signals by converting a set of estimated values in a motion parameter profile; and

extracting position information of said anatomical landmarks from said set of analytic parameter values by analyzing elements of said set of analytic parameter values.

10. The method of claim 9, wherein said generating comprising computing a series of time integrals (S₁, S₂ . . . , S_n) in which

S_i=T*(V₁₊V_s+ . . . V_i)

where T is the time delay between two consecutive estimated values, and S_i is a longitudinal distance that a sample of the moving cardiac tissue has moved at time segment T_i.

11. The method of claim 10, further comprising storing said set of analytic parameter values for each designated anatomical point of the moving cardiac structure as a sampled array of motion values.

12. The method of claim 9, further comprising selecting a first portion of said analytic parameter values for a designated anatomical point in the image from a spatial set of estimated tissue values corresponding to a first time, and computing a second portion of said analytic parameter values for the designated anatomical point using said first portion of said analytic parameter value.

13. The method of claim 11, further comprising storing said first portion of said analytic parameter values in a tracked velocity parameter profile array, and storing said second portion of said analytic parameter values in a motion parameter profile.

14. The method of claim 9, further comprising locating an apex and AV-plane of the moving cardiac structure by peak-detecting a motion gradient profile over a depth.

15. The method of claim 14, wherein said locating an apex and AV-plane comprises determining the AV-plane by detecting a positive peak, and determining the apex by detecting a negative peak.

16. The method of claim 9, further comprising automatically labeling discrete anatomical points in the image at longitudinal depths of anatomical landmarks with indicia.

17. In an ultrasound machine for generating an image responsive to moving cardiac structure within a subject, a method for locating anatomical landmarks of said moving cardiac structure comprising:

generating a timing event source to generate a cardiac timing event signal that represents a cardiac waveform of the subject;

inputting the timing event signal into the ultrasound machine;

transmitting ultrasound waves into said moving cardiac structure and generating received signals in response to ultrasound waves backscattered from said moving cardiac structure over a time period;

designating anatomical points within the moving cardiac structure;

converting a set of estimated tissue velocity values into a motion parameter profile;

creating a tracked velocity parameter profile for at least one of the anatomical points through said converting;

estimating changes in spatial locations of the anatomical points;

extracting velocity estimates based on changes in the spatial locations of the anatomical points;

producing a tracked velocity parameter profile for the at least one of the anatomical points in the image as a function of time for a complete cardiac cycle;

storing the tracked velocity parameter profile as a sampled array of tissue velocity values;

automatically labeling discrete anatomical points corresponding to anatomical landmarks in the image with indicia; and

continuously updating and displaying positions of the indicia to follow movements of the anatomical points.