Assessment of Hemodynamic Function In Arrhythmia Patients

• US 20160228014A1
• Filed: 02/04/2016
• Published: 08/11/2016
• Est. Priority Date: 02/06/2015
• Status: Active Grant

• Current Assignee: Trustees Of The University Of Pennsylvania (University of Pennsylvania)
• Original Assignee: Trustees Of The University Of Pennsylvania (University of Pennsylvania)
• Inventors: Contijoch, Francisco, Gorman, Robert, Han, Yuchi, Witschey, Walter
• Granted Patent: US 10,638,940 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2576/023 for the heart
• CPC Class Codes: A61B 5/0044 for the heart
• CPC Class Codes: A61B 5/02028 Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/7289 Retrospective gating, i.e. associating measured signals or images with a physiological event after the actual measurement or image acquisition, e.g. by simultaneously recording an additional physiological signal during the measurement or image acquisition
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing

Abstract

Electrocardiogram (ECG)-gated cardiac magnetic resonance imaging (MRI) alone may be unable to capture the hemodynamics associated with arrhythmic events. As a result, values such as ejection fraction are acquisition dependent. The desired RR-duration determines the arrhythmia rejection. By combining real-time volume measurements with ECG recordings, beat morphologies can be categorized and a more comprehensive evaluation of ventricular function during arrhythmia can be provided.

Claims

1. A method for evaluating hemodynamic function of the heart by:

obtaining continuous cardiac imaging data;

obtaining physiologic data synchronous to the cardiac imaging data;

analyzing the physiologic data to determine multiple observed cardiac contraction morphologies; and

estimating hemodynamic information for each of the cardiac contraction morphologies using the cardiac imaging data.

2. The method of claim 1, wherein estimating the hemodynamic information includes estimating global hemodynamic information for each beat morphology by combining regional hemodynamic estimates.

3. The method of claim 2, wherein the cardiac imaging data is used to obtain the regional hemodynamic information.

4. The method of claim 3, further comprising producing a comprehensive hemodynamic quantification report based on observed beat morphologies and global hemodynamic information.

5. The method of claim 1, wherein the cardiac imaging data is heart chamber imaging data.

6. The method of claim 5, wherein the heart chamber imaging data is magnetic resonance imaging (MRI) data.

7. The method of claim 1, wherein the continuous cardiac imaging data is a two-dimensional 2D multi-slice MRI acquisition.

8. The method of claim 1, wherein the cardiac imaging data is a 2D golden angle radial acquisition.

9. The method of claim 1, wherein the physiologic data is a heart signal.

10. The method of claim 1, wherein the physiologic data is electrocardiogram (ECG) data.

11. The method of claim 1 wherein the cardiac imaging data is 2D slice imaging data allows for regional evaluation of contraction and conduction patterns

12. A computer adapted to evaluate hemodynamic function of the heart, the computer including a memory and a processor, the processor adapted to:

obtain continuous cardiac imaging data;

obtain physiologic data synchronous to the cardiac imaging data;

analyze the physiologic data to determine multiple observed cardiac contraction morphologies; and

estimate hemodynamic information for each of the cardiac contraction morphologies using the cardiac imaging data.

13. The computer of claim 12, wherein estimating the hemodynamic information includes estimating global hemodynamic information for each beat morphology by combining regional hemodynamic estimates.

14. The computer of claim 13, wherein the cardiac imaging data is used to obtain the regional hemodynamic information.

15. The computer of claim 13, further comprising producing a comprehensive hemodynamic quantification report based on observed beat morphologies and global hemodynamic information.

16. The computer of claim 12, wherein the cardiac imaging data is heart chamber imaging data.

17. The computer of claim 12, wherein the heart chamber imaging data is magnetic resonance imaging (MRI) data.

18. The computer of claim 12, wherein the continuous cardiac imaging data is a two-dimensional 2D multi-slice MRI acquisition.

19. The computer of claim 12, wherein the cardiac imaging data is a 2D golden angle radial acquisition.

20. The computer of claim 12, wherein the physiologic data is a heart signal.