Assessment of hemodynamic function in arrhythmia patients
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.
1. A method for evaluating hemodynamic function of a heart by:
obtaining cardiac imaging data;
obtaining physiologic data synchronous to the cardiac imaging data;
analyzing the physiologic data to determine multiple cardiac contraction morphologies, wherein each of the cardiac contraction morphologies is indicative of a different beat pattern in the physiologic data determined based on one or more first parameters;
estimating hemodynamic information for each of the cardiac contraction morphologies using the cardiac imaging data; and
determining a second parameter based on a combination of the hemodynamic information estimated for each of the cardiac contraction morphologies.
2. The method of claim 1 , wherein estimating the hemodynamic information includes estimating global hemodynamic information for each cardiac contraction morphology by combining regional hemodynamic information.
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 the cardiac contraction morphologies and the global hemodynamic information.
5. The method of claim 1 , wherein the cardiac imaging data comprises heart chamber imaging data.
6. The method of claim 1 , wherein the cardiac imaging data comprises a two-dimensional 2D multi-slice MRI acquisition.
7. The method of claim 1 , wherein the cardiac imaging data comprises a 2D golden angle radial acquisition.
8. The method of claim 1 , wherein the physiologic data comprises electrocardiogram (ECG) data.
9. The method of claim 1 , wherein the cardiac imaging data comprises 2D slice imaging data that allows for regional evaluation of contraction and conduction patterns.
10. The method of claim 1 , wherein the second parameter comprises an ejection fraction that is determined based on a weighted average of the hemodynamic information for each of the cardiac contraction morphologies.
11. The method of claim 1 , wherein the cardiac contraction morphologies are determined using multidimensional classifiers.
12. A computer adapted to evaluate hemodynamic function of a heart, the computer including a memory and a processor, the processor adapted to:
obtain cardiac imaging data;
obtain physiologic data synchronous to the cardiac imaging data;
analyze the physiologic data to determine multiple cardiac contraction morphologies, wherein each of the cardiac contraction morphologies is indicative of a different beat pattern in the physiologic data determined based on one or more first parameters;
estimate hemodynamic information for each of the cardiac contraction morphologies using the cardiac imaging data; and
determine a second parameter based on a combination of the hemodynamic information estimated for each of the cardiac contraction morphologies.
13. The computer of claim 12 , wherein estimating the hemodynamic information includes estimating global hemodynamic information for each cardiac contraction morphology by combining regional hemodynamic information.
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 , wherein the processor is further adapted to produce a comprehensive hemodynamic quantification report based on the cardiac contraction morphologies and the global hemodynamic information.
16. The computer of claim 12 , wherein the cardiac imaging data comprises heart chamber imaging data.
17. The computer of claim 16 , wherein the heart chamber imaging data comprises magnetic resonance imaging (MRI) data.
18. The computer of claim 12 , wherein the cardiac imaging data comprises a two-dimensional 2D multi-slice MRI acquisition.
19. The computer of claim 12 , wherein the cardiac imaging data comprises a 2D golden angle radial acquisition.
20. A non-transitory computer-readable medium storing computer-executable instructions that, when executed by one or more processors, cause:
obtaining cardiac imaging data;
obtaining physiologic data synchronous to the cardiac imaging data;
analyzing the physiologic data to determine multiple cardiac contraction morphologies, wherein each of the cardiac contraction morphologies is indicative of a different beat pattern in the physiologic data determined based on one or more first parameters;
estimating hemodynamic information for each of the cardiac contraction morphologies using the cardiac imaging data; and
determining a second parameter based on a combination of the hemodynamic information estimated for each of the cardiac contraction morphologies.