Method and apparatus for automated selection of correct image for quantitative analysis

• US 7,280,864 B2
• Filed: 11/27/2002
• Issued: 10/09/2007
• Est. Priority Date: 11/27/2002
• Status: Active Grant

• Current Assignee: GE Medical Systems Information Technologies Incorporated (General Electric Company)
• Original Assignee: GE Medical Systems Information Technologies Incorporated (General Electric Company)
• Inventors: Jenkins, John H
• Primary Examiner(s): Casler; Brian L.
• Assistant Examiner(s): RAMIREZ, JOHN FERNANDO
• Application Number:
  US10/065,893
• Publication Number:
  US 20040102693A1
• Time in Patent Office: 1,777 Days
• Field of Search: 600407-410, 600/428, 600/509, 600/413, 382/128, 378/8
• US Class Current: 600/428
• CPC Class Codes: A61B 6/481 involving the use of contrast agents
• 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 6/541 involving acquisition triggered by a physiological signal
• CPC Class Codes: A61B 6/563 involving image data transmission via a network

Abstract

A method for selecting images for coronary analysis using time stamps to correlate cardiovascular images to corresponding physiological or hemodynamic monitoring, e.g., ECG, data. The method uses time stamps that are intrinsic to a distributed network clock synchronization protocol for correlation of images and data. A coronary analysis system is employed to correlate images with physiologic data, e.g., using time stamp data as well as offset data derived using the distributed network clock synchronization protocol.

Claims

1. A method comprising the following steps:

(a) acquiring frames of imaging data representing a succession of images of a patient'"'"'s heart during a study using an imaging system;

(b) automatically time stamping each acquired frame with respective times generated by a first clock;

(c) automatically calculating respective offsets of said first clock relative to a reference clock for each time stamp associated with said acquired frames;

(d) storing said acquired frames and said time stamps and said offsets associated with said acquired frames;

(e) acquiring physiologic data from said patient during said study using a hemodynamic monitoring system;

(f) automatically time stamping data in said acquired physiologic data representing one or more predetermined cardiac events with respective times generated by a second clock;

(g) automatically calculating respective offsets of said second clock relative to said reference clock for each time stamp associated with said physiologic data;

(h) storing said acquired physiologic data and said time stamps and said offsets associated with said acquired physiologic data;

(i) computing which one of said acquired frames was acquired in substantial synchronism with a first predetermined cardiac event based on said time stamps and said offsets; and

(j) associating a first acquired frame identified by step (i) with said first predetermined cardiac event,

further comprising the step of displaying said first acquired frame of imaging data concurrently with acquired physiologic data having a visual indicator indicating a physiologic datum corresponding to said first predetermined cardiac event.

16. The method as recited in claim 1, wherein step (g) is performed using a distributed network clock synchronization protocol.

17. The method as recited in claim 1, wherein said acquired frames of imaging data and said acquired physiologic data are stored in an asynchronous server.

18. The method as recited in claim 1, wherein each of said acquired frames of imaging data is encapsulated in a DICOM object having a header containing respective fields for an associated time stamp and an associated offset.

19. The method as recited in claim 1, wherein said imaging data is acquired using X-rays.

20. The method as recited in claim 1, further comprising the step of injecting a contrast agent into the cardiovascular system of said patient before said frames of imaging data are acquired.

21. The method as recited in claim 1, wherein said physiologic data comprises electrocardiogram waveform data.

22. The method as recited in claim 1, wherein said physiologic data comprises blood pressure measurement data.

2. A method comprising the following steps:

(a) acquiring frames of imaging data representing a succession of images of a patient'"'"'s heart during a study using an imaging system;

(b) automatically time stamping each acquired frame with respective times generated by a first clock;

(c) automatically calculating respective offsets of said first clock relative to a reference clock for each time stamp associated with said acquired frames;

(d) storing said acquired frames and said time stamps and said offsets associated with said acquired frames;

(e) acquiring physiologic data from said patient during said study using a hemodynamic monitoring system;

(f) automatically time stamping data in said acquired physiologic data representing one or more predetermined cardiac events with respective times generated by a second clock;

(g) automatically calculating respective offsets of said second clock relative to said reference clock for each time stamp associated with said physiologic data;

(h) storing said acquired physiologic data and said time stamps and said offsets associated with said acquired physiologic data;

(i) computing which one of said acquired frames was acquired in substantial synchronism with a first predetermined cardiac event based on said time stamps and said offsets; and

(j) associating a first acquired frame identified by step (i) with said first predetermined cardiac event; and

(k) performing quantitative coronary analysis based at least in part on said first acquired frame.

3. The method as recited in claim 2, further comprising the steps of:

(l) computing which one of said acquired frames was acquired in substantial synchronism with a second predetermined cardiac event based on said time stamps and said offsets; and

(m) associating a second acquired frame identified by step (k) with said second predetermined cardiac event,

wherein step (k) comprises performing left ventricular analysis based at least in part on said first and second acquired frames.

4. The method as recited in claim 3, wherein said first and second predetermined cardiac events are the diastole and systole of the same cardiac cycle.

5. The method as recited in claim 2, further comprising the steps of automatically performing ECG analysis on said acquired physiologic data to identify said acquired physiologic data representing said predetermined cardiac events.

6. The method as recited in claim 2, wherein step (g) is performed using a distributed network clock synchronization protocol.

7. The method as recited in claim 2, wherein said acquired frames of imaging data and said acquired physiologic data are stored in an asynchronous server.

8. The method as recited in claim 2, wherein each of said acquired frames of imaging data is encapsulated in a DICOM object having a header containing respective fields for an associated time stamp and an associated offset.

9. The method as recited in claim 2, wherein said imaging data is acquired using X-rays.

10. The method as recited in claim 2, further comprising the step of injecting a contrast agent into the cardiovascular system of said patient before said frames of imaging data are acquired.

11. The method as recited in claim 2, wherein said physiologic data comprises electrocardiogram waveform data.

12. The method as recited in claim 2, wherein said physiologic data comprises blood pressure measurement data.

13. The method as recited in claim 2, wherein one of said predetermined cardiac events is the onset of cardiac contraction.

14. The method as recited in claim 2, wherein one of said predetermined cardiac events is peak cardiac contraction.

15. A method comprising the following steps:

(a) automatically determining a first offset of a first local clock relative to a reference clock, said first local clock dictating the time of day in an imaging system;

(b) automatically adjusting said first local clock by an amount that is a function of said first offset to synchronize said first local clock with said reference clock;

(c) automatically determining a second offset of a second local clock relative to said reference clock, said second local clock dictating the time of day in an hemodynamic monitoring system;

(d) automatically adjusting said second local clock by an amount that is a function of said second offset to synchronize said second local clock with said reference clock;

(e) acquiring a frame of imaging data representing an image of a patient'"'"'s heart during a study using said imaging system;

(f) automatically time stamping said acquired frame with a time generated by said adjusted first local clock;

(g) storing said acquired frame and said time stamp associated with said acquired frame as an imaging file;

(h) acquiring physiologic data from said patient during said study using said hemodynamic monitoring system;

(i) automatically time stamping a datum in said acquired physiologic data representing a predetermined cardiac event with a time generated by said adjusted second local clock; and

(j) storing said acquired physiologic data and said time stamp associated with said acquired physiologic data as a physiology file,

wherein steps (a) through (j) are performed repeatedly over the course of a study to acquire a multiplicity of frames of imaging data and physiologic data, further comprising the steps of;

selecting a frame of imaging data acquired by said imaging system at a time substantially synchronized with a predetermined cardiac event recorded in said physiologic data acquired by said hemodynamic monitoring system, said frame selection being based on comparison of time stamps in imaging files with time stamps in physiology files, said selected frame having a time stamp that differs from a time stamp associated with a physiologic datum corresponding to said predetermined cardiac event by a minimum amount; and

performing quantitative analysis based at least in part on said selected frame of imaging data.