Method of deriving a cardiac ejection fraction from nuclear image data

• US 5,274,549 A
• Filed: 05/18/1990
• Issued: 12/28/1993
• Est. Priority Date: 05/18/1990
• Status: Expired due to Fees

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Almasi, John J.
• Primary Examiner(s): Envall, Jr., Roy N.
• Assistant Examiner(s): CHUNG TRANS, XUONG MY
• Application Number:
  US07/525,528
• Time in Patent Office: 1,320 Days
• Field of Search: 364/413.07, 128/653.1, 128/659, 128/661.1, 128/661.08, 128/661.09, 128/713, 128/672, 128/694, 128/691, 382/6
• US Class Current: 600/526
• CPC Class Codes: A61B 5/02755 Radioactive tracers
• CPC Class Codes: A61B 6/4258 for detecting non x-ray radiation, e.g. gamma radiation A61B6/037 takes precedence
• CPC Class Codes: A61B 6/541 involving acquisition triggered by a physiological signal
• CPC Class Codes: G06T 2207/30048 Heart; Cardiac
• CPC Class Codes: G06T 7/60 Analysis of geometric attributes

Abstract

A series of nuclear images of a heart is acquired and stored in a memory device. One of the images is assumed to have occurred at the diastole and the perimeter of the left ventricle in this image is found. This perimeter is applied to the image series to produce a sum of the radiation counts within the perimeter for each image. If the maximum count sum is not produced by the image from which the perimeter was found, a new perimeter and a new maximum count sum are produced specifically for that maximum count sum image. A group of five consecutive images, which include the image from which the minimum count sum was produced, is defined. For each image in this group the left ventricle perimeter and the sum of enclosed radiation counts are individually produced. The smallest of these latter sums is used with the maximum count sum to derive the cardial ejection fraction.

Claims

1. A method for deriving the cardiac ejection fraction of a patient comprising the steps of:

(a) during a cardiac cycle, sequentially acquiring a series of electronic images, M in number, containing heart blood volume information;

(b) defining an area which encloses heart blood volume information in one of the images;

(c) extracting the blood volume information from the defined area in each of the images in the series and producing a first digital signal representation of blood volume for each image;

(d) using the first digital signal representations of blood volume to determine a diastolic blood volume digital signal value;

(e) for a plurality, P in number, of consecutive images including the image from which a smallest magnitude digital signal representation was produced, individually for each image defining an area which encloses heart blood volume information and producing a second digital signal representation of heart blood volume for that image, where P is less than M-1;

(f) defining the second digital signal representation of blood volume which has the smallest magnitude as a systolic blood volume digital signal value; and

(g) calculating the cardiac ejection fraction from the diastolic and systolic blood volume digital signal values.

2. The method as recited in claim 1 wherein step (d) comprises:

if the first digital signal representation of blood volume having the greatest magnitude was produced from the image used in step (b) to define an area, then defining the first digital signal representation of blood volume produced from that image as corresponding to the diastolic blood volume digital signal value;

otherwise performing the steps of;

(h) defining a new area which encloses heart blood volume information in an image, designated image Q, which produced the first digital signal representation of blood volume having the greatest magnitude,

(i) extracting the blood volume information from the newly defined area in image Q and producing a new digital signal representation of the blood volume for image Q, and

(j) defining the new digital signal representation of the blood volume as corresponding to the diastolic blood volume digital signal value.

3. The method as recited in claim 1 wherein the number M is at least sixteen, and the number P is less than eight.

4. The method as recited in claim 1 wherein the number M is greater than sixteen, and the number P is five.

5. The method as recited in claim 1 wherein the cardiac ejection fraction is calculated according to the expression:

##EQU3## where DIASTOLIC VALUE is the diastolic blood volume digital signal value, and SYSTOLIC VALUE is the systolic blood volume digital signal value.

13. The method as recited in claim 1 wherein the step of extracting blood volume information comprises summing radiation counts located in the image within the previously defined area.

6. A method for deriving the cardiac ejection fraction of a patient comprising the steps of:

(a) during a cardiac cycle, acquiring a sequence of images, numbered by integers 1 through M, in which each image contains heart blood volume information;

(b) storing the acquired images in a memory means;

(c) defining an area in one of the stored images, designated image N, which area substantially encloses heart blood volume information;

(d) extracting the blood volume information from the defined area in each of the M stored images to produce a digital signal representation of blood volume for each image;

(e) defining a digital signal representation of blood volume as representing diastolic blood volume;

(f) identifying an image, designated by integer R, from which was produced a digital signal representation of blood volume having the smallest magnitude;

(g) for each image of a sequence of consecutive images numbered R-S through R+T, where S and T are non-negative integers, individually defining an area in each image which encloses heart blood volume information and producing another digital signal representation of heart blood volume;

(h) defining a digital signal representation of heart blood volume within the ones produced in step (g), which has the smallest magnitude, as representing systolic blood volume; and

(i) calculating the cardiac ejection fraction from the diastolic and systolic blood volume digital signal values.

7. The method as recited in claim 6 wherein step (e) comprises:

if the digital signal representation of blood volume which has the greatest magnitude was produced from image N, then defining the digital signal representation of blood volume from image N as representing diastolic blood volume;

otherwise performing the following steps;

defining an new area which substantially encloses the heart blood volume information in an image, designated by integer Q, which produced the digital signal value corresponding to the blood volume having the greatest magnitude;

extracting the blood volume information from the newly defined area in image Q, and producing a new digital signal representation of the blood volume depicted in image Q; and

defining the new digital signal representation of the blood volume as representing diastolic blood volume.

8. The method as recited in claim 6 wherein S and T each has a integer values between one and five.

14. The method as recited in claim 6 wherein the heart blood volume information is represented by radiation counts in the image;

and step of extracting blood volume information comprises summing the radiation counts located in the image within the previously defined area.

9. A method for deriving the cardiac ejection fraction of a patient comprising the steps of:

(a) sequentially acquiring series of nuclear images of a heart during a cardiac cycle in which each image is formed by a plurality of radiation counts;

(b) as each image of the series is acquired, storing the image in a memory;

(c) defining a perimeter of the left ventricle of the heart in one of the images stored in the memory;

(d) for each image of the series, summing the radiation counts located in the image within the previously defined perimeter;

(e) if the image for which the perimeter was defined in step (c) does not have the largest sum of the radiation counts, then defining a new perimeter of the left ventricle of the heart in the stored image which has the largest sum as calculated at step (d) and producing a new sum of the radiation counts located within the new perimeter in this latter image, this new sum being designated "DIAS SUM", otherwise the sum having the greatest magnitude calculated at step (d) being designated "DIAS SUM";

(f) individually for each image, in a group of consecutive images that includes the image from which a smallest radiation count sum is calculated at step (d), defining a perimeter of the left ventricle of the heart and summing the radiation counts within that perimeter, the radiation count sum produced in the present step which has the smallest magnitude being designated "SYST SUM"; and

(g) calculating the cardiac ejection fraction in response to the DIAS SUM and the SYST SUM.

10. The method as recited in claim 9 further comprising:

determining an amount (DIAS BKGD) by which background radiation affects the value of DIAS SUM;

determining an amount (SYST BKGD) by which background radiation affects the the value of SYST SUM; and

wherein the step of calculating the cardiac ejection fraction also is in response to the DIAS BKGD and the SYST BKGD.

11. The method as recited in claim 10 wherein the cardiac ejection fraction is calculated according to the expression:

##EQU4##

12. The method as recited in claim 9 where in step (f) the group of consecutive images further includes two images that were acquired just prior to the image from which a smallest radiation count sum is calculated, and two images that were acquired just after the image from which a smallest radiation count sum is calculated.