IP Library Granted Patent US 10,217,220
Granted Patent B2
US 10,217,220 · App. 15/168,807 · Granted Feb 26, 2019

Methods for the determination of transit time in circulatory systems and applications of the same

Inventor: Ghassan S. Kassab (La Jolla, CA)
Assignee: DTherapeutics, LLC
G06T7/0016A61B5/026A61B5/02007A61B5/1076A61B6/507G06T7/62A61B5/0013A61B5/055A61B5/7275G06T2207/30048G06T2207/30104
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Quick Facts
Patent No.
US 10,217,220
App. No.
15/168,807
Granted
Feb 26, 2019
Kind
B2
Abstract

Methods for the determination of transit time in circulatory systems and applications of the same. In at least one embodiment, the method includes the steps of obtaining a biological tree image showing a vasculature of at least part of a mammalian biological tree including at least a vessel segment, determining a transit time in the vessel segment, determining a blood volume in the vessel segment, determining a blood volume in a first vascular tree comprising the vessel segment, and calculating a transit time in the first vascular tree based upon the transit time through the vessel segment, the blood volume in the vessel segment, and the blood volume in the first vascular tree.

Claims (49)

1. A method for designing microfluidic channels, the method comprising the steps of:

using a processor to produce a microfluidic tree image showing at least part of a microfluidic tree comprising at least a microfluidic channel segment, wherein the processor is operably connected to a storage medium capable of receiving and storing the image;

determining a transit time in the microfluidic channel segment;

determining a volume in the microfluidic channel segment;

determining a volume in a first microfluidic tree comprising the microfluidic channel segment; and

calculating a transit time in the first microfluidic tree based upon information from the microfluidic tree image and the transit time through the microfluidic channel segment, the volume in the microfluidic channel segment, and the volume in the first microfluidic tree;

wherein a first ratio of the transit time in the microfluidic channel segment and the transit time in the first microfluidic tree and a second ratio of the volume in the microfluidic channel segment and the volume in the first microfluidic tree have a linear relationship; and

wherein comparing the first ratio with the second ratio results in a proportionality constant that is equal to about 1.

2. The method of claim 1 , further comprising the step of calculating a constant based on a length of the first microfluidic tree, the volume of the first microfluidic tree, and the calculated transit time in the first microfluidic tree.

3. The method of claim 2 , further comprising the steps of:

determining a length and a volume of a second microfluidic tree; and

calculating a transit time in the second microfluidic tree based upon the use of the calculated constant.

4. The method of claim 1 , wherein the transit time in the first microfluidic tree is calculated without measuring flow rates.

5. A method for optimizing the dosage of a pharmaceutical compound comprising at least one active ingredient, the method comprising the steps of:

using a processor to produce a biological tree image from a mammalian body showing a vasculature of at least part of a biological tree comprising at least a vessel segment, wherein the processor is operably connected to a storage medium capable of receiving and storing the image;

determining a transit time in the vessel segment;

determining a blood volume in the vessel segment;

determining a blood volume in a first vascular tree comprising the vessel segment;

calculating a transit time in the first vascular tree based upon information from the biological tree image and the transit time through the vessel segment, the blood volume in the vessel segment, and the blood volume in the first vascular tree; and

modifying a composition of a pharmaceutical compound comprising at least one active ingredient based on the calculated transit time and a location of a targeted tissue within the mammalian body.

6. The method of claim 5 , further comprising the steps of:

calculating a constant based on a length of the first vascular tree, the volume of the first vascular tree, and the calculated transit time in the first vascular tree; and

using the constant to calculate a second transit time within a second vasculature tree at the targeted tissue;

wherein the step of modifying the composition of a pharmaceutical compound is further performed based on the calculated second transit time.

7. The method of claim 5 , wherein a first ratio of the transit time in the vessel segment and the transit time in the first vascular tree and a second ratio of the blood volume in the vessel segment and the volume in the first vascular tree have a linear relationship.

8. The method of claim 7 , wherein comparing the first ratio with the second ratio results in a proportionality constant that is equal to about 1.

9. The method of claim 5 , further comprising the step of calculating a constant based on a length of the first vascular tree, the volume of the first vascular tree, and the calculated transit time in the first vascular tree.

10. The method of claim 9 , further comprising the steps of:

determining a length and a blood volume of a second vascular tree; and

calculating a transit time in the second vascular tree based upon the use of the calculated constant.

11. The method of claim 5 , wherein the step of using the processor to produce the biological tree image is performed using a non-invasive imaging technique.

12. A method for diagnosing disease in a mammalian biological tree, the method comprising the steps of:

obtaining a baseline transit time for a model mammalian vascular tree;

using a processor to produce a biological tree image from a mammalian body showing a vasculature of at least part of a biological tree comprising at least a vessel segment, wherein the processor is operably connected to a storage medium capable of receiving and storing the image;

determining a transit time in the vessel segment;

determining a blood volume in the vessel segment;

determining a blood volume in a first vascular tree comprising the vessel segment;

calculating a first transit time in the first vascular tree based upon information from the biological tree image and the transit time through the vessel segment, the blood volume in the vessel segment, and the blood volume in the first vascular tree; and

comparing the baseline transit time with the first transit time in the first vascular tree to determine the extent of vessel and/or organ disease;

wherein the comparison of the baseline transit time and the first transit time indicates an inefficiency of 10% or higher;

wherein the model mammalian vascular tree is physiologically comparable to the mammalian vascular tree.

13. The method of claim 12 , further comprising the steps of:

calculating a constant based on a length of the first vascular tree, the volume of the first vascular tree, and the calculated transit time in the first vascular tree;

determining a length and a volume of a second vascular tree;

calculating a second transit time in the second vascular tree based upon the use of the calculated constant; and

comparing the first transit time of the first vascular tree with the second transit time of the second vascular tree to determine the extent of vessel and/or organ disease.

14. The method of claim 12 , wherein a first ratio of the transit time in the vessel segment and the transit time in the first vascular tree and a second ratio of the blood volume in the vessel segment and the blood volume in the first vascular tree have a linear relationship.

15. The method of claim 12 , wherein the transit time in the first vascular tree is calculated without measuring blood flow rates.

16. The method of claim 12 , wherein the step of using the processor to produce the biological tree image is performed using a non-invasive imaging technique.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 31, 2016
From: KASSAB, GHASSAN S.
To: DTHERAPEUTICS, LLC
Reel/Frame 038751/0784 →
Continuity (9)
Continuation In Part 13106027 · May 12, 2011
Continuation In Part 12864016
Continuation In Part PCTUS2008000762 · Jan 22, 2008
Continuation In Part 15168807 · May 31, 2016
Continuation In Part 14205035 · Mar 11, 2014
Continuation 12864016 · Jul 22, 2010
Provisional Application 62167557 · May 28, 2015
Provisional Application 60881833 · Jan 23, 2007
Related Publication 20160350920A1 · Dec 1, 2016
Cited By (1)
US 12,339,078