Model-Based Flow Analysis and Visualization

• US 20080294038A1
• Filed: 11/15/2006
• Published: 11/27/2008
• Est. Priority Date: 12/09/2005
• Status: Abandoned Application

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Weese, Juergen, Bredno, Joerg, Groth, Alexandra, Steinhauser, Heidrun, Rongen, Peter, Hermans, Roel, Bruijns, Tom
• Application Number:
  US12/096,436
• Publication Number:
  US 20080294038A1
• Time in Patent Office: Days
• US Class Current: 600/431
• CPC Class Codes: A61B 6/481 involving the use of contrast agents
• CPC Class Codes: A61B 6/504 for diagnosis of blood vessels, e.g. by angiography
• CPC Class Codes: A61B 6/507 for determination of haemodynamic parameters, e.g. perfusion CT
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

A system (900), method (100, 200) and apparatus (600, 700, 800) are provided for analyzing a blood flow in a vascular system from a dynamic diagnostic observation sequence (101) to determine blood flow parameters (112) for further determination of filters, replay speed and finally visualization of the replayed original and filtered sequences. A first embodiment (100) extracts features of the observation and uses these features to select an appropriate model from a database of pre-determined models of vascular system of interest which have associated parameters. These parameters are varied to create an instance of the model that best matches the original observation. A second embodiment (200) visualizes a replay of the original observation (101) and the observation (101′) predicted by the model to highlight differences therebetween. A third embodiment (800) provides filtering and control of the replay speed.

Claims

1. A method (100) for analyzing blood flow in a vascular system from a diagnostic observation thereof, comprising the steps of:

providing a database (602) of at least one exemplary blood flow model of a vascular system, the at least one model having an associated parameter set of the most relevant blood flow parameters of the modeled vascular system;

providing a diagnostic observation (101) as a sequence of at least two images that show the advance of contrast agent in the vascular system;

extracting a set of extracted quantitative blood flow features (102) of the vascular system using the parameter set of the model, from the provided diagnostic observation (101);

selecting (103) and linking at least one blood flow model (603) for the observed vascular system from the database (602) such that predicted flow blood features (108) predicted by the model match the extracted blood flow features (102) according to a pre-determined matching function of the associated set of blood flow parameters; and

outputting the model and the associated parameter set of blood flow parameters.

2. The method (100) of claim 1, further comprising the step of the selected model predicting at least one of the diagnostic observation (101) and the set of quantitative features extracted (102) from the diagnostic observation (101).

3. The method (100) of claim 2, wherein the pre-determined matching function comprises the step of systematically varying the values of blood flow parameters of the selected model until the predicted features and corresponding extracted features each differ from one another by less than a pre-specified tolerance.

4. The method (100) of claim 3, wherein the systematically varying is executing numerical optimization routines.

5. The method (100) of claim 4, wherein a local concentration of a contrast agent at an observation point is both one of the extracted features (102) and one of the predicted features (108).

6. The method (100) of claim 5, further comprising the step of:

injecting the contrast agent into a blood vessel of the vascular system; and

wherein, the diagnostic observation (101) is a diagnostic x-ray obtained by performing the step of taking a series of at least two x-ray images of the vascular system after the injection step.

9. The method of claim 1, wherein the exemplary model set (602) includes a model that describes the flow of contrast agent through tubular structures with transport mechanisms selected from the group consisting of dispersion, diffusion, convection, varying velocities over a vessel cross-section, and varying velocity over a heart cycle.

10. The method (100) of claim 1, wherein:

the database (602) includes a model of a stenosis; and

and the set of extracted features (102) includes a grade of the stenosis.

11. The method (100) of claim 1, wherein:

the database (602) includes a model comprising at least one parenting tube and at least two branching tubes forming a bifurcation thereof; and

the set of extracted features (102) includes a flow fraction into the at least two branching tubes.

12. The method (100) of claim 1, wherein:

the database (602) includes a model of an aneurysm sac of a vessel having a parenting vessel; and

the set of extracted features (102) includes a fraction of a flow of the parenting vessel that flows through the aneurysm.

16. A method (200) for visualization of blood flow in a vascular system from a diagnostic observation thereof, comprising the steps of:

determining a blood flow model and blood flow parameters thereof by performing the method of claim 1 such that the model predicts the observation based on the flow parameters; and

providing a visualization apparatus (700) to visualize the blood flow of the model based on the flow parameters.

17. The method (200) of claim 16, further comprising the steps of:

generating a predicted observation using the determined blood flow model; and

visualizing with the provided visualization apparatus the observation and differences between the observation and the predicted observation.

18. The method (200) of claim 16, further comprising the steps of:

generating a predicted observation using the determined blood flow model;

visualizing with the provided visualization apparatus the observation; and

enhancing the visualized observation with a function of differences between the observation and the predicted observation.

19. The method (200) of claim 18 wherein the function is a color overlay created from the differences.

20. The method (200) of claim 19, wherein the predicted observation is a concentration of contrast agent in a tubular vessel when the concentration at an inflow into the segment is observed over time as the diagnostic observation.

21. The method (200) of claim 20 wherein the generating further comprises the step of including contrast transport effects of transport mechanisms selected from the group consisting of dispersion, diffusion, convection, varying velocities over a vessel cross-section, and varying velocity over a heart cycle.

22. The method (200) of claim 20, wherein:

the extracted blood flow features (102) include an amount of a contrast agent in the vascular system or a part thereof; and

the generating step further comprises the step of assuming a homogenous concentration of the contrast agent in vascular system or a part thereof

23. The method (200) of claim 22, wherein:

the extracted blood flow features (102) include a geometry of the vascular system or part thereof; and

the generating step further comprises the step of including information on the geometry of the vascular system or part thereof.

24. The method (200) of claim 22, wherein the generating step further comprises the step of including information on the geometry of the vascular system or part thereof obtained from an alternative modality than the diagnostic observation.

26. The apparatus (700) of claim 25, wherein the visualization generator (214) is further configured to perform the method of claim 24.

30. The method of claim 29, further comprising the step of simultaneously with the applying step, performing the method of claim 24 to visualize the advance of the contrast agent in the vascular system.

8. The method (100) of claim 8, further comprising the step of presenting the flow parameters to the user.

7. The method (100) of claim 8, further comprising the step of determining a geometry of the vascular system from the diagnostic x-ray taken thereof.

13. The method (100) of claim 13, wherein the aneurysm sac comprises two parallel tubular vessels, one for the parenting vessel and one replacing the aneurysm itself.

14. The method (100) of claim 14, wherein the aneurysm sac comprises a fluid chamber with homogenous contrast concentration.

15. An apparatus (600) for analyzing blood flow in an observed vascular system from a diagnostic observation (101) thereof, comprising:

a database (602) of exemplary models of blood flow in vascular systems, each model having an associated set of blood flow parameters most relevant to the modeled vascular system; and

a model instance generator (600) to control creation of an instance of at least one exemplary model selected from the database (602) based on extracted features (102) of the observed vascular system and linked such that predicted blood flow features (108) predicted by the at least one model match extracted blood flow features (102) according to a pre-determined matching function of the associated set of blood flow parameters.

25. An apparatus (700) for visualization of blood flow in a vascular system from a diagnostic observation thereof:

a database (602) of exemplary models of blood flow in vascular systems, each model having an associated set of blood flow parameters most relevant to the modeled vascular system;

an apparatus (600) according to claim 15 to create a model instance of an exemplary model of the database (602) for analyzing blood flow in an observed vascular system from the diagnostic observation (101); and

a visualization generator (214) to visualize a base image (201) of the diagnostic observation for visual comparison with a predicted observation (208) predicted by the model instance.

31. A method for filtering a dynamic diagnostic observation sequence to visualize the advance of a contrast agent in a vascular system therein, comprising the steps of:

providing a replay speed that is adjustable;

adjusting the replay speed;

selecting noise filters based on the selected replay speed; and

simultaneously performing the steps of;

a. applying the selected noise filters, and

b. performing the method of claim 25 to visualize the advance of the contrast agent in the vascular system.

32. The method of claim 31, further comprising the steps of:

applying a strong temporal filter when the replay speed exceeds a pre-determined strong threshold; and

applying one of a weak and no temporal filter when the replay speed falls below a pre-determined weak threshold.

33. The method of claim 31, wherein:

the providing step further comprises providing a continuous rate of change of the replay speed; and

and when the rate of change of the replay speed is continuous, the selecting step further only comprises a continuous change of the temporal filter strength.

34. An apparatus (800) for filtering a dynamic diagnostic observation sequence of contrast agent advance in a vascular system, comprising:

a flow parameter determination module configured as in claim 15, to determine flow parameters (112) of the observation;

a filter determination module 805 configured to perform the method of claim 30 to determine a pre-determined number of filters to be applied to the observation sequence;

an image sequence replay module (806) to determine a replay speed and a filter strength of the filters based on the replay speed using the method of claim 33 and to output a filtered replay of the observation sequence (101′

); and

a visualization generation module configured as in claim 27 to accept and visualize the filtered replay of the observation sequence (101′

) output by the image sequence replay module (806).

27. A method for filtering a dynamic diagnostic observation sequence showing the advance of a contrast agent in a vascular system therein, comprising the steps of:

locally determining the strength of a temporal filter based on at least one criteria selected from the group consisting of;

a local blood velocity of the diagnostic observation, and

a blur due to filtering that only covers a pre-defined distance that the contrast agent can pass over in an observation time defined by a filter scale;

determining a global filter strength from the locally determined filter strengths by minimum comparison; and

applying a pre-determined number of filters selected from the group consisting of a temporal filter and a global filter to the observation.

28. The method of claim 27, further comprising the step of prior to the applying step, regularizing the strength of each temporal filter.

29. The method of claim 28, wherein the regularizing step is implemented by spatial and temporal lowpass of the filter strengths.

35. A system (900) for filtering replaying and visualizing a dynamic observation sequence (101), comprising:

a filter module (800) to

determine at least one filter from flow parameters (112) of the dynamic observation sequence and

replay at a determined speed the filtered dynamic observation sequence (101);

a flow analysis module operably connected to the filter module (800) to determine flow parameters (112) of the dynamic observation sequence and provide said determined flow parameters to the flow analysis module (800); and

a visualization system (700) operably connected to the filter module to visualize at least one of a replay of the filtered sequence and a replay of the observation.