Image-based waveform parameter estimation

• US 9,498,140 B2
• Filed: 05/05/2015
• Issued: 11/22/2016
• Est. Priority Date: 05/09/2014
• Status: Active Grant

• Current Assignee: Northwestern University, Siemens Healthineers AG (Siemens AG)
• Original Assignee: Northwestern University, Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Magrath, Patrick, Spottiswoode, Bruce S., Stalder, Aurlien, Gulsun, Mehmet Akif, Markl, Michael
• Primary Examiner(s): Seth, Manav
• Application Number:
  US14/704,126
• Publication Number:
  US 20150324977A1
• Time in Patent Office: 567 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0263 using NMR
• CPC Class Codes: A61B 5/0285 Measuring or recording phase velocity of blood waves
• CPC Class Codes: G06T 2207/10088 Magnetic resonance imaging [MRI]
• CPC Class Codes: G06T 2207/20101 Interactive definition of point of interest, landmark or seed
• CPC Class Codes: G06T 2207/30104 Vascular flow; Blood flow; Perfusion
• CPC Class Codes: G06T 2207/30172 Centreline of tubular or elongated structure
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/0016 involving temporal comparison
• CPC Class Codes: G06T 7/12 Edge-based segmentation

Abstract

Disclosed herein is a framework for facilitating waveform parameter estimation. In accordance with one aspect, time-based waveforms are generated based on analysis planes positioned along a centerline of the vessel. A surface may be fitted to upslope regions of the waveforms to determine one or more waveform parameters based on intersection of the surface with the upslope regions.

Claims

1. A method for determining a property of a biological vessel based on an improved estimation of a waveform parameter, comprising:

(i) receiving image data of the biological vessel;

(ii) determining a centerline of the biological vessel based on the image data and generating a plurality of analysis planes that lie perpendicular to the centerline;

(iii) generating time-based waveforms based on the analysis planes;

(v) fitting surfaces to upslope regions of different subsets of the waveforms to derive local waveform parameters based on intersections of the surfaces with the upslope regions; and

(v) determining a global waveform parameter based on the local waveform parameters;

wherein the global waveform parameter is associated with the property of the biological vessel.

2. The method of claim 1 wherein fitting the surfaces to the different subsets of the upslope regions comprises fitting least squares planes to the different subsets of the upslope regions.

3. The method of claim 1 wherein determining the global waveform parameter comprises determine an average value of the local waveform parameters.

4. The method of claim 1 wherein the global waveform parameter comprises at least one of a pulse wave velocity, a flow per cardiac cycle, a regurgitant flow ratio, a resistance index, and a pulsatility index.

5. A system for determining a property of a biological vessel based on an improved estimation of a waveform parameter, comprising:

a non-transitory memory device for storing computer readable program code, and

a processor in communication with the memory device, the processor being operative with the computer readable program code to perform steps including;

(i) receiving image data of at least one the biological vessel;

(ii) determining a centerline of the biological vessel based on the image data and generating a plurality of analysis planes that lie perpendicular to the centerline;

(iii) generating time-based waveforms based on the analysis planes positioned along a centerline of the vessel;

(v) fitting surfaces to upslope regions of different subsets of the time-based waveforms to derive local waveform parameters based on intersections of the surfaces with the upslope regions; and

(v) determining a global waveform parameter based on the local waveform parameters;

wherein the global waveform parameter is associated with the property of the biological vessel.

6. The system of claim 5 wherein the image data comprises four-dimensional flow magnetic resonance image data.

7. The system of claim 5 wherein the biological vessel comprises a blood vessel.

8. The system of claim 5 wherein the centerline of the vessel is determined by automatically detecting the centerline between user-placed seed points.

9. The system of claim 5 wherein the time-based waveforms comprise time-based flow waveforms.

10. The system of claim 5 wherein the time-based waveforms comprise time-based velocity waveforms.

11. The system of claim 5 wherein the surface comprises a polynomial surface having an order that is greater than or equal to 2.

12. The system of claim 11 wherein the polynomial surface is represented by

f(x,t)=A+Bx+Ct+Dx²+Ext+Ft²,

wherein x denotes a distance along the centerline, t denotes time, f(x,t) denotes flow rate, and A, B, C, D, E and F denote parameters extracted from the fitting.

13. The system of claim 5 wherein the surface comprises a twisted plane that represents changes in the upslopes as a function of distance along the centerline.

14. The system of claim 5 wherein the processor is operative with the computer readable program code to fit the surface to the upslope regions by fitting multiple surfaces to different subsets of the upslope regions to derive a plurality of local waveform parameters.

15. The system of claim 14 wherein the global waveform parameter comprises at least one of a pulse wave velocity, a flow per cardiac cycle, a regurgitant flow ratio, a resistance index and a pulsatility index.

16. The system of claim 14 wherein surfaces comprise least square planes.

17. The system of claim 5 wherein the surfaces comprise at least one of spline surfaces and composition of basis functions surfaces.

18. The system of claim 5, further comprising an imaging device configured to provide the image data.

19. The system of claim 17, wherein the imaging device comprises a magnetic resonance imaging arrangement.

20. The system of claim 17, wherein the imaging device comprises at least one of an x-ray arrangement, a CT scanner, and a positron emission tomography scanner.