Cardiac perfusion analysis

• US 7,698,234 B2
• Filed: 03/20/2003
• Issued: 04/13/2010
• Est. Priority Date: 03/25/2002
• 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: Breeuwer, Marcel
• Primary Examiner(s): Vincent; David R
• Assistant Examiner(s): Bharadwaj; Kalpana
• Application Number:
  US10/508,451
• Publication Number:
  US 20050124861A1
• Time in Patent Office: 2,581 Days
• Field of Search: 706/16, 600/509, 600/443, 700/17, 700/83
• US Class Current: 706/12
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

In a method of analyzing a quantity having temporal and spatial variations a multidimensional output data array is formed. The multidimensional output data array comprises array positions arranged along at least a first data-axis and a second data-axis, such as a spatial axis and a temporal axis. Values of the quantity are entered in the multidimensional output data array. Values of the quantity at substantially the same instant are entered at respective positions in the multidimensional output data array at equal positions along the first data-axis. Values of the quantity at substantially the same spatial position are entered at respective positions in the multidimensional output data array at equal positions along the second data-axis.

Claims

1. A method of analyzing a quantity indicative of blood perfusion through a myocardium by analyzing a varying quantity which furnishes an easy reference rendition of the variations of the quantity, the quantity having temporal and spatial variations, including:

obtaining a multidimensional output data array, the multidimensional output data array comprising array positions arranged along at least a first data-axis and a second data-axis; and

receiving with a processor values corresponding to the quantity indicative of blood perfusion through tissue based on time series perfusion images generated from image data acquired by a tomographic imaging system;

wherein first values corresponding to the quantity at substantially a same instant in time are mapped by the processor to respective positions in the multidimensional output data array at equal positions along the first data-axis, and second values corresponding to the quantity at substantially a same spatial position are mapped by the processor to respective positions in the multidimensional output data array at equal positions along the second data-axis.

2. The method as claimed in claim 1, further including:

acquiring the first and second values of the quantity for respective temporal instants and for respective spatial sections; and

mapping the second values of the quantity for individual spatial sections to respective positions in the multidimensional output data array at equal positions along the second data-axis.

3. The method as claimed in claim 1, further including acquiring the first and second values of the quantity for respective time intervals and for respective spatial positions and mapping the first values of the quantity for individual time intervals to respective positions in the multidimensional output data away at equal positions along the first data-axis.

4. The method as claimed in claim 1, further including mapping the first values of the quantity for successive time intervals to adjacent positions in the multidimensional output data array;

and mapping the second values of the quantity for adjacent spatial sections to adjacent positions in the multidimensional output data array.

5. The method as claimed in claim 4, further including mapping the second values of the quantity for radially contiguous spatial sections to contiguous positions in the multidimensional output data array.

6. The method as claimed in claim 1, wherein the first and second values of the quantity are derived from the time series perfusion images.

7. The method as claimed in claim 1, wherein the first values of the quantity at respective instants of time are derived from respective images in said time series perfusion images.

8. The method as claimed in claim 7, further including linking respective positions in the multidimensional output data away to respective spatial sections in respective images of the time series perfusion images.

9. The method as claimed in claim 8, further including:

displaying the multidimensional output data array;

indicating a position in the displayed multidimensional output data array; and

displaying the respective image of the time series perfusion images on the basis of the respective indicated position in the displayed multidimensional output data away and marking the respective spatial section in the image.

10. The method as claimed in claim 1, wherein the quantity pertains to perfusion of the myocardium.

13. The method of claim 1, further comprising displaying the multidimensional output data array.

14. The method of claim 13, wherein the values of the quantity are derived from the image data, and further comprising displaying the image data while displaying the multidimensional output data array.

15. The method of claim 1, wherein the quantity is an average brightness value of the image data.

16. The method of claim 15, wherein the image data comprises perfusion data of a human myocardium.

11. A data processing system adapted to analyze a quantity indicative of blood perfusion through a myocardium by analyzing a varying quantity which furnishes an easy reference rendition of the variations of the quantity, the quantity having temporal and spatial variations, the system comprising:

a processor that obtains a multidimensional output data array, the multidimensional output data away comprising array positions arranged along at least a first data-axis and a second data-axis and that receives values corresponding to the quantity indicative of blood perfusion through tissue based on time series perfusion images generated from image data acquired by a tomographic imaging system;

wherein first values corresponding to the quantity at substantially a same instant in time are mapped by the processor to respective positions in the multidimensional output data away at equal positions along the first data-axis, and second values corresponding to the quantity at substantially a same spatial position are mapped by the processor to respective positions in the multidimensional output data array at equal positions along the second data-axis.

17. The system of claim 11, further comprising a display device adapted to display the multidimensional output data array.

18. The system of claim 17, wherein the values of the quantity are derived from the image data, and wherein the display device is further adapted to display the image data while displaying the multidimensional output data array.

19. The system of claim 11, wherein the quantity is an average brightness value of the image data.

20. The system of claim 19, wherein the image data comprises perfusion data of a human myocardium.

12. A computer-readable medium having stored therein computer executable instructions that when executed on a computer perform a method of analyzing a quantity indicative of blood perfusion through a myocardium by analyzing a varying quantity which furnishes an easy reference rendition of the variations of the quantity, the quantity having temporal and spatial variations, including causing the computer to:

obtain a multidimensional output data array, the multidimensional output data array comprising array positions arranged along at least a first data-axis and a second data-axis;

receive values corresponding to the quantity indicative of blood perfusion through tissue based on time series perfusion images generated from image data acquired by a tomographic imaging system;

wherein first values corresponding to the quantity at substantially a same instant in time are mapped to respective positions in the multidimensional output data array at equal positions along the first data-axis, and second values corresponding to the quantity at substantially a same spatial position are mapped to respective positions in the multidimensional output data array at equal positions along the second data-axis.