Method and system for patient-specific modeling of blood flow

US9801689B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9801689-B2
Application numberUS-201514866098-A
CountryUS
Kind codeB2
Filing dateSep 25, 2015
Priority dateAug 12, 2010
Publication dateOct 31, 2017
Grant dateOct 31, 2017

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

Official abstract text for this publication.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for vascular assessment comprising: receiving a plurality of 2D angiographic images of a portion of a patient's vasculature having a stenotic lesion or plaque; generating an anatomical model of the patient's vasculature using the received plurality of 2D angiographic images; determining a flow characteristic of blood flow through the anatomical model; performing a plurality of iterations of: modifying the anatomical model by modifying measurements of the vasculature at one or more locations along one or more vessels of the patient's vasculature; determining a modified flow characteristic of blood flow through the modified anatomical model; calculating an index indicative of vascular function based, at least in part, on the first flow characteristic of blood flow through the anatomical model and the modified flow characteristic of blood flow through the modified anatomical model; generating and outputting, to an electronic storage medium or display, a report of a modified anatomical model from the one or more iterations, for which the modified flow characteristic of blood flow through the modified anatomical model maximizes the index indicative of vascular function; and determining and outputting, to an electronic storage medium or display, indicia of one or more treatment options based on the report. 2. The method according to claim 1 , wherein said measurements of the vasculature are at one or more locations along a centerline of at least one branch of the vasculature. 3. The method according to claim 1 , wherein said flow characteristic of the anatomical model comprises resistance to fluid flow. 4. The method according to claim 3 , further comprising identifying in the anatomical model a stenosed vessel and a downstream portion of said stenosed vessel, and calculating said resistance to fluid flow in said downstream portion; wherein said index is calculated based on a volume of said downstream portion, and on a contribution of said stenosed vessel to said resistance to fluid flow. 5. The method according to claim 1 , wherein said flow characteristic of the anatomical model comprises one or more of: blood flow rate, blood pressure, and fractional flow reserve. 6. The method according to claim 1 , wherein the anatomical model is a three-dimensional vessel tree. 7. The method according to claim 6 , wherein said vessel tree comprises data pertaining to location, orientation and size of vessels at a plurality of points within said portion of the vasculature. 8. The method according to claim 1 , wherein the modified anatomical model comprises an inflated vessel replacing a stenotic vessel in the anatomical model. 9. The method according to claim 1 , wherein the anatomical model is a three-dimensional vessel tree and the modified anatomical model is a modification of the three-dimensional vessel tree. 10. The method according to claim 1 , wherein said flow characteristics of said anatomical model and said modified flow characteristics of said modified anatomical models comprise blood flow rates and/or resistance to fluid flow. 11. The method according to claim 1 , wherein each of the anatomical model and the modified anatomical models corresponds to a portion of the vasculature which is between two consecutive branches of the vasculature and which includes a stenosis. 12. The method according to claim 1 , wherein each of the anatomical model and the modified anatomical models corresponds to a portion of the vasculature which includes a branch of the vasculature. 13. The method according to claim 1 , wherein each of the anatomical model and the modified anatomical models corresponds to a portion of the vasculature which includes a stenosis and which extends the vasculature beyond the stenosis. 14. The method according to claim 1 , wherein the anatomical model corresponds to a portion of the vasculature which includes a stenosis, and the modified anatomical models correspond to a portion of the vasculature which reflects an absence or reduction of the stenosis and which is geometrically similar to the anatomical model. 15. The method according to claim 1 , wherein said index is calculated based on a ratio of the flow characteristic of blood flow through the anatomical model to the modified flow characteristic of blood flow through the modified anatomical model. 16. The method according to claim 1 , wherein said index indicates a functionally significant lesion. 17. The method according to claim 1 , wherein the flow characteristic and the modified flow characteristics each comprise a Fractional Flow Ratio (FFR) or a blood flow rate. 18. The method according to claim 1 , further comprising determining, based on said index, a ratio between maximal blood flow in an area of a stenosis and a maximal blood flow in a same area without stenosis. 19. The method according to claim 1 , further comprising capturing said 2D angiographic images using computed tomography (“CT”), computed tomography angiography (“CTA”) or (“CCTA”), magnetic resonance angiography (“MRA”), or magnetic resonance imaging (“MRI”). 20. A non-transitory computer software product, comprising a computer-readable medium in which program instructions are stored, which instructions, when read by a computer, cause the computer to receive a plurality of 2D angiographic images of the patient's vasculature and execute the method according to claim 1 . 21. A system for vascular assessment comprising: a plurality of imaging devices configured for capturing a plurality of 2D angiographic images of the patient's vasculature; and a computer configured for receiving said plurality of 2D angiographic images and executing the method according to claim 1 .

Assignees

Inventors

Classifications

  • for handling medical images, e.g. DICOM, HL7 or PACS · CPC title

  • ICT specially adapted for the handling or processing of medical references · CPC title

  • Image post-processing, e.g. metal artefact correction · CPC title

  • Texturing; Colouring; Generation of textures or colours (retouching, inpainting or scratch removal G06T5/77) · CPC title

  • Matching criteria, e.g. proximity measures · CPC title

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What does patent US9801689B2 cover?
Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be f…
Who is the assignee on this patent?
Heartflow Inc
What technology area does this patent fall under?
Primary CPC classification A61B5/029. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Oct 31 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 7 related publications on this page (citations in our corpus or others sharing the same primary CPC).