Systems and methods for applying scaling laws of tree structures

• US 8,670,943 B2
• Filed: 08/12/2008
• Issued: 03/11/2014
• Est. Priority Date: 01/23/2007
• Status: Active Grant

• Current Assignee: DTherapeutics LLC
• Original Assignee: DTherapeutics LLC
• Inventors: Kassab, Ghassan S., Huo, Yunlong
• Primary Examiner(s): Le, John H
• Application Number:
  US12/864,016
• Publication Number:
  US 20100299077A1
• Time in Patent Office: 2,037 Days
• Field of Search: 702/19, 702/156, 702/157, 702/158, 703/11, 600/420, 600/431, 600/454, 600/481, 600/508, 600/538
• US Class Current: 702/19
• CPC Class Codes: A61B 5/02007 Evaluating blood vessel condition, e.g. elasticity, compliance
• CPC Class Codes: A61B 5/026 Measuring blood flow A61B3/1233, A61B3/1241 take precedence
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 6/03 Computed tomography [CT] echo-tomography A61B8/14
• CPC Class Codes: A61B 6/504 for diagnosis of blood vessels, e.g. by angiography

Abstract

Methods are provided for determining flow resistance within at least a portion of a vessel, whereby at least a partial biological tree image is obtained and resistance is calculated therefrom based upon at least the length of a defined vessel portion and a diameter of a stem vessel at a location proximal to a vessel crown. Methods are also provided for determining vessel volume, whereby at least a partial biological tree image is obtained and cumulative crown volume is calculated based on at least the diameter and length of the stem segment.

Claims

1. A method for diagnosing disease in a patient'"'"'s biological tree, the method comprising the steps of:

obtaining a model biological tree;

using a processor to produce an image showing a vasculature of at least part of a patient'"'"'s biological tree, wherein the processor is operably connected to a storage medium capable of receiving and storing the image;

identifying a length of a patient vessel portion and a diameter of a patient stem vessel proximal to the vessel crown from the patient'"'"'s biological tree image;

calculating model resistance based upon at least a length of a model vessel portion and a diameter of a model stem vessel proximal to the vessel crown from the model biological tree image;

calculating patient resistance based upon at least the length of the patient vessel portion and the diameter of the patient stem vessel proximal to the vessel crown from the patient'"'"'s biological tree image; and

comparing the calculated model resistance to the calculated patient resistance to determine the extent of vessel and/or organ disease.

2. The method of claim 1, wherein the steps of calculating model resistance and calculating patient resistance are further based upon the use of a constant.

3. The method of claim 1, wherein the patient resistance is a resistance of a stem segment, and wherein the length of the patient vessel portion is a length of a stem.

4. The method of claim 3, wherein the step of calculating the resistance of a stem segment is performed by dividing the length of a stem by the diameter of the patient stem vessel proximal to the vessel crown to the fourth power multiplied by a constant for the stem, or a mathematical equivalent thereof.

5. The method of claim 4, wherein the constant for the stem is equivalent to one hundred and twenty eight multiplied by a fluid viscosity divided by pi, or a mathematical equivalent thereof.

6. The method of claim 1, wherein the patient resistance is a resistance of a crown, and wherein the length of the patient vessel portion is a crown length.

7. The method of claim 6, wherein the step of calculating the resistance of a crown is further based upon the use of a constant for the crown.

8. The method of claim 7, wherein the constant for the crown is equivalent to a maximum resistance multiplied by a maximum diameter to the fourth power divided by a maximum length, or a mathematical equivalent thereof.

9. The method of claim 6, wherein the step of calculating the resistance of a crown is performed by dividing the crown length by the diameter of the patient stem vessel proximal to the vessel crown to the fourth power multiplied by a constant, or a mathematical equivalent thereof.

10. The method of claim 1, wherein the patient resistance is a total resistance of the biological tree, and wherein the length of the patient vessel portion is a cumulative biological tree vessel length.

11. The method of claim 10, wherein the step of calculating the total resistance of the biological tree is further based upon the use of a constant for the crown.

12. The method of claim 10, wherein the step of calculating the total resistance of the biological tree is performed by dividing the cumulative biological tree vessel length by the diameter of the patient stem vessel proximal to the vessel crown to the fourth power multiplied by a constant, or a mathematical equivalent thereof.

13. The method of claim 1, wherein the patient resistance is the resistance of blood within a vessel portion.

14. The method of claim 1, wherein the patient vessel portion comprises a vessel selected from the group consisting of a blood vessel, a bile duct, a lung, and a neuron.

15. The method of claim 1, wherein the patient resistance is the resistance of a gas within a vessel portion.

16. The method of claim 15, wherein the gas comprises breathable air, and wherein the vessel portion comprises a portion of a lung.

17. The method of claim 1, wherein the step of comparing the calculated model resistance to the calculated patient resistance is performed by graphically comparing patient resistance data to model resistance data to determine the extent of vessel and/or organ disease by identifying one or more graphical differences between said data.

18. The method of claim 1, wherein the step of comparing calculated model resistance to the calculated patient resistance is performed by comparing patient resistance data to model resistance data in table form to determine the extent of vessel and/or organ disease by identifying one or more numerically calculated differences between said data.

19. The method of claim 1, wherein the model biological tree is generated from a minimum energy hypothesis calculation.

20. A method for diagnosing disease in a patient'"'"'s biological tree, the method comprising the steps of:

obtaining a model biological tree;

using a processor to produce an image showing a vasculature of at least part of a patient'"'"'s biological tree, wherein the processor is operably connected to a storage medium capable of receiving and storing the image;

identifying a diameter of a patient stem segment and a length of a patient stem segment from the patient'"'"'s biological tree image;

calculating model cumulative crown volume based upon at least a diameter of a model stem segment and a length of a model stem segment from the model biological tree;

calculating patient cumulative crown volume based upon at least the diameter of the patient stem segment and the length of the patient stem segment the patient'"'"'s biological tree image; and

comparing the calculated model cumulative crown volume to the calculated patient cumulative crown volume to determine the extent of vessel and/or organ disease.

21. The method of claim 20, wherein the step of calculating patient cumulative crown volume is further based upon the use of a constant.

22. The method of claim 20, wherein the step of calculating patient cumulative crown volume is performed by multiplying a constant by a product of the diameter of the patient stem segment to the two-thirds power and the length of the patient stem segment, or a mathematical equivalent thereof.

23. The method of claim 20, wherein the diameter of the patient stem segment is a most proximal stem diameter, wherein the length of the patient stem segment is a cumulative biological tree vessel length, and wherein the patient cumulative crown volume is a cumulative biological tree volume.

24. The method of claim 23, wherein the step of calculating the cumulative biological tree volume is further based upon the use of a constant.

25. The method of claim 23, wherein the step of calculating cumulative biological tree volume is performed by multiplying a constant by a product of the most proximal stem diameter to the two-thirds power and the cumulative biological tree vessel length, or a mathematical equivalent thereof.

26. The method of claim 20, wherein the step of comparing the calculated model cumulative crown volume to the calculated model cumulative crown volume is performed by graphically comparing calculated model cumulative crown volume data to calculated model cumulative crown volume data to determine the extent of vessel and/or organ disease by identifying one or more graphical differences between said data.

27. The method of claim 20, wherein the step of comparing the calculated model cumulative crown volume to the calculated model cumulative crown volume is performed by comparing calculated model cumulative crown volume data to calculated model cumulative crown volume data in table form to determine the extent of vessel and/or organ disease by identifying one or more numerically calculated differences between said data.

28. The method of claim 20, wherein the method further comprises the steps of:

identifying a most proximal patient stem diameter from the patient'"'"'s biological tree image;

identifying a patient'"'"'s cumulative biological tree vessel length from the patient'"'"'s biological tree image; and

calculating a patient'"'"'s cumulative biological tree volume of the patient'"'"'s biological tree based upon at least the most proximal patient stem diameter and the patient'"'"'s cumulative biological tree vessel length.

29. The method of claim 28, further comprising the step of determining a structure-function scaling relation, wherein the structure-function scaling relation comprises a first component and a second component, or a mathematical equivalent thereof.

30. The method of claim 29, wherein the first component comprises the patient'"'"'s cumulative crown volume divided by the patient'"'"'s cumulative biological tree volume, and wherein the second component comprises the diameter of the patient stem segment divided by the most proximal patient stem diameter, and wherein the first component equals the second component to the third power, or a mathematical equivalent thereof.

31. The method of claim 29, further comprising the step of determining a non-dimensional structure-function scaling relation, wherein the non-dimensional structure-function scaling relation comprises a first component, a second component, and a third component, or a mathematical equivalent thereof.

32. The method of claim 31, wherein the first component comprises the patient'"'"'s cumulative crown volume divided by the patient'"'"'s cumulative biological tree volume, wherein the second component comprises the diameter of the patient stem segment divided by the most proximal patient stem diameter, wherein the third component comprises the length of the patient stem segment divided by the patient'"'"'s cumulative biological tree vessel length, and wherein the first component equals the second component to the two-thirds power multiplied by the third component, or a mathematical equivalent thereof.

33. The method of claim 20, wherein the calculated patient'"'"'s cumulative crown volume provides information useful for a diagnosis of a disease.

34. A system for diagnosing disease in a patient'"'"'s biological tree, the system comprising:

a processor;

a storage medium operably connected to the processor, the storage medium capable of receiving and storing data relative of measurements from a vasculature of a vessel;

wherein the processor is operable to;

obtain a model biological tree;

using the processor to produce an image showing a vasculature of at least part of the patient'"'"'s biological tree;

identify a length of a patient vessel portion and a diameter of a patient stem vessel proximal to the vessel crown from the patient'"'"'s biological tree image;

calculate model resistance based upon at least a length of a model vessel portion and a diameter of a model stem vessel proximal to the vessel crown from the model biological tree image;

calculate patient resistance based upon at least the length of the patient vessel portion and the diameter of the patient stem vessel proximal to the vessel crown from the patient'"'"'s biological tree image; and

compare the calculated model resistance to the calculated patient resistance to determine the extent of vessel and/or organ disease.

35. The system of claim 34, wherein the processor is operable to calculate model resistance and calculating patient resistance based upon the use of a constant.

36. The system of claim 34, wherein the patient resistance is a resistance of a stem segment, wherein the length of the patient vessel portion is a length of a stem, and wherein the processor is operable to calculate the resistance of a stem segment by dividing the length of a stem by the diameter of the patient stem vessel proximal to the vessel crown to the fourth power multiplied by a constant for the stem, or a mathematical equivalent thereof.

37. The system of claim 34, wherein the patient resistance is a resistance of a crown, wherein the length of the patient vessel portion is a crown length, and wherein the processor is operable to calculate the resistance of a crown based upon the use of a constant for the crown.

38. The system of claim 34, wherein the processor is operable to calculate the resistance of a crown by dividing the crown length by the diameter of the patient stem vessel proximal to the vessel crown to the fourth power multiplied by a constant, or a mathematical equivalent thereof.

39. The system of claim 34, wherein the patient resistance is a total resistance of the biological tree, wherein the length of the patient vessel portion is a cumulative biological tree vessel length, and wherein the processor is operable to calculate the total resistance of the biological tree based upon the use of a constant for the crown.

40. The system of claim 34, wherein the processor is operable to calculate the total resistance of the biological tree by dividing the cumulative biological tree vessel length by the diameter of the patient stem vessel proximal to the vessel crown to the fourth power multiplied by a constant, or a mathematical equivalent thereof.

41. The system of claim 34, wherein the processor is operable to compare the calculated model resistance to the calculated patient resistance by graphically comparing patient resistance data to model resistance data to determine the extent of vessel and/or organ disease by identifying one or more graphical differences between said data.

42. The system of claim 34, wherein the processor is operable to compare the calculated model resistance to the calculated patient resistance by comparing patient resistance data to model resistance data in table form to determine the extent of vessel and/or organ disease by identifying one or more numerically calculated differences between said data.

43. The system of claim 34, further comprising a program stored upon the storage medium, said program operable by the processor upon data relative of measurements from a vasculature of a vessel.

44. The system of claim 34, wherein the system comprises a user system and a server system, and wherein the user system and the server system are operably connected to one another.

45. A system for diagnosing disease in a patient'"'"'s biological tree, the system comprising:

a processor;

a storage medium operably connected to the processor, the storage medium capable of receiving and storing data relative of measurements from a vasculature of a vessel;

wherein the processor is operable to;

obtain a model biological tree;

using the processor to produce an image showing a vasculature of at least part of a patient'"'"'s biological tree;

identify a diameter of a patient stem segment and a length of a patient stem segment from the patient'"'"'s biological tree image;

calculate model cumulative crown volume based upon at least a diameter of a model stem segment and a length of a model stem segment from the model biological tree;

calculate a patient'"'"'s cumulative crown volume based upon at least the diameter of the patient stem segment and the length of the patient stem segment the patient'"'"'s biological tree image; and

compare the calculated model cumulative crown volume to the calculated model cumulative crown volume to determine the extent of vessel and/or organ disease.

46. The system of claim 45, wherein the processor is operable to calculate patient cumulative crown volume based upon the use of a constant.

47. The system of claim 45, wherein the processor is operable to calculate patient cumulative crown volume by multiplying a constant by a product of the diameter of the patient stem segment to the two-thirds power and the length of the patient stem segment, or a mathematical equivalent thereof.

48. The system of claim 45, wherein the diameter of the patient stem segment is a most proximal stem diameter, wherein the length of the patient stem segment is a cumulative biological tree vessel length, and wherein the patient cumulative crown volume is a cumulative biological tree volume, and wherein the processor is operable to calculate the cumulative biological tree volume based upon the use of a constant.

49. The system of claim 45, wherein the processor is operable to calculate cumulative biological tree volume by multiplying a constant by a product of the most proximal stem diameter to the two-thirds power and the cumulative biological tree vessel length, or a mathematical equivalent thereof.

50. The system of claim 45, wherein the processor is operable to compare the calculated model cumulative crown volume to the calculated model cumulative crown volume is performed by graphically comparing calculated model cumulative crown volume data to calculated model cumulative crown volume data to determine the extent of vessel and/or organ disease by identifying one or more graphical differences between said data.

51. The system of claim 45, wherein the processor is operable to compare the calculated model cumulative crown volume to the calculated model cumulative crown volume by comparing calculated model cumulative crown volume data to calculated model cumulative crown volume data in table form to determine the extent of vessel and/or organ disease by identifying one or more numerically calculated differences between said data.

52. The system of claim 45, wherein the processor is further operable to:

identify a most proximal patient stem diameter from the patient'"'"'s biological tree image;

identify a patient'"'"'s cumulative biological tree vessel length from the patient'"'"'s biological tree image; and

calculate a patient'"'"'s cumulative biological tree volume of the patient'"'"'s biological tree based upon at least the most proximal patient stem diameter and the patient'"'"'s cumulative biological tree vessel length.

53. The system of claim 52, wherein the processor is further operable to determine a structure-function scaling relation, wherein the structure-function scaling relation comprises a first component and a second component, or a mathematical equivalent thereof.

54. The system of claim 53, wherein the processor is further operable to determine a non-dimensional structure-function scaling relation, wherein the non-dimensional structure-function scaling relation comprises a first component, a second component, and a third component, or a mathematical equivalent thereof.

55. The system of claim 45, further comprising a program stored upon the storage medium, said program operable by the processor upon data relative of measurements from a vasculature of a vessel.

56. The system of claim 45, wherein the system comprises a user system and a server system, and wherein the user system and the server system are operably connected to one another.