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Systems and methods for predicting coronary artery plaque vulnerability from patient-specific anatomical image data

A technology of image data and coronary arteries, applied in the field of predicting the vulnerability of coronary artery plaques, can solve problems such as limitations

Active Publication Date: 2019-01-15
HEARTFLOW
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

As a result, blood flow to the heart may be restricted

Method used

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  • Systems and methods for predicting coronary artery plaque vulnerability from patient-specific anatomical image data
  • Systems and methods for predicting coronary artery plaque vulnerability from patient-specific anatomical image data
  • Systems and methods for predicting coronary artery plaque vulnerability from patient-specific anatomical image data

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Embodiment Construction

[0027] Reference will now be made in detail to the exemplary embodiments of the present invention, examples of which are illustrated in the accompanying drawings. Wherever possible, the same reference numbers will be used throughout the drawings to refer to the same or like parts.

[0028] As described above, a new generation of non-invasive tests has been developed to assess blood flow properties. These noninvasive tests use patient imaging, such as CT, to determine a patient-specific geometric model of the vessel that can be used to computationally simulate blood flow using computational fluid dynamics (CFD) along with appropriate physiological boundary conditions and parameters. Examples of these patient-specific boundary condition inputs include the patient's blood pressure, blood viscosity, and the expected demand for blood by the supplied tissue (derived from scaling laws and estimates of supplied tissue mass from patient imaging).

[0029] The present disclosure relate...

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Abstract

The present invention discloses systems and methods for predicting coronary artery plaque vulnerability using computer systems. A method comprising: acquiring anatomical image data of at least a portion of a patient's vasculature; performing one or more of image property analysis, geometric analysis, computational fluid dynamics analysis, and structural mechanics analysis on the anatomical image data using a processor; Using the processor to predict the presence of coronary plaque vulnerability in the patient's vasculature, wherein predicting the coronary plaque vulnerability includes based on image property analysis, geometric analysis of the anatomical image data calculating a malignant plaque property as a result of one or more of a computational fluid dynamics analysis and a structural mechanics analysis; and reporting the calculated malignant plaque property using the processor.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of priority to U.S. Patent Application No. 14 / 254,481, filed April 16, 2014, which claims priority to U.S. Provisional Application No. 61 / 917,639, filed December 18, 2013, Each of said US Patent Application and US Provisional Application is incorporated herein by reference in its entirety. technical field [0003] Various embodiments of the present disclosure relate generally to medical imaging and related methods. More specifically, certain embodiments of the present disclosure relate to systems and methods for predicting coronary artery plaque vulnerability from patient-specific anatomical image data. Background technique [0004] Coronary heart disease can produce coronary artery disease, such as stenosis (abnormal narrowing of a blood vessel), in the blood vessels that supply blood to the heart. As a result, blood flow to the heart may be restricted. Patients with coronary hea...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B6/00G06T7/00G06T7/60
CPCA61B6/504G16H50/30G16H50/50A61B5/02007A61B5/026A61B5/7275A61B6/032A61B5/0066A61B6/5217Y02A90/10A61B5/055A61B6/503A61B8/12G06T7/0012A61B34/10G06T2207/10104G06T2207/10108G06T2207/30104
Inventor 崔吉浩莱昂·格雷迪米希尔·沙普查尔斯·A·泰勒
Owner HEARTFLOW
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