Inverse Problem for Color Doppler Ultrasound-Assisted Intracardiac Blood Flow Imaging

Jaeseong Jang, Chi Young Ahn, Jung-il Choi, Jin Keun Seo

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

For the assessment of the left ventricle (LV), echocardiography has been widely used to visualize and quantify geometrical variations of LV. However, echocardiographic image itself is not sufficient to describe a swirling pattern which is a characteristic blood flow pattern inside LV without any treatment on the image. We propose a mathematical framework based on an inverse problem for three-dimensional (3D) LV blood flow reconstruction. The reconstruction model combines the incompressible Navier-Stokes equations with one-direction velocity component of the synthetic flow data (or color Doppler data) from the forward simulation (or measurement). Moreover, time-varying LV boundaries are extracted from the intensity data to determine boundary conditions of the reconstruction model. Forward simulations of intracardiac blood flow are performed using a fluid-structure interaction model in order to obtain synthetic flow data. The proposed model significantly reduces the local and global errors of the reconstructed flow fields. We demonstrate the feasibility and potential usefulness of the proposed reconstruction model in predicting dynamic swirling patterns inside the LV over a cardiac cycle.

Original languageEnglish
Article number6371078
JournalComputational and Mathematical Methods in Medicine
Volume2016
DOIs
Publication statusPublished - 2016 Jan 1

Fingerprint

Doppler Ultrasonography
Left Ventricle
Blood Flow
Ultrasound
Doppler
Inverse problems
Heart Ventricles
Inverse Problem
Blood
Color
Ultrasonics
Imaging
Imaging techniques
Data Flow
Echocardiography
Fluid structure interaction
Model
Flow patterns
Navier Stokes equations
Incompressible Navier-Stokes Equations

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Applied Mathematics

Cite this

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title = "Inverse Problem for Color Doppler Ultrasound-Assisted Intracardiac Blood Flow Imaging",
abstract = "For the assessment of the left ventricle (LV), echocardiography has been widely used to visualize and quantify geometrical variations of LV. However, echocardiographic image itself is not sufficient to describe a swirling pattern which is a characteristic blood flow pattern inside LV without any treatment on the image. We propose a mathematical framework based on an inverse problem for three-dimensional (3D) LV blood flow reconstruction. The reconstruction model combines the incompressible Navier-Stokes equations with one-direction velocity component of the synthetic flow data (or color Doppler data) from the forward simulation (or measurement). Moreover, time-varying LV boundaries are extracted from the intensity data to determine boundary conditions of the reconstruction model. Forward simulations of intracardiac blood flow are performed using a fluid-structure interaction model in order to obtain synthetic flow data. The proposed model significantly reduces the local and global errors of the reconstructed flow fields. We demonstrate the feasibility and potential usefulness of the proposed reconstruction model in predicting dynamic swirling patterns inside the LV over a cardiac cycle.",
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Inverse Problem for Color Doppler Ultrasound-Assisted Intracardiac Blood Flow Imaging. / Jang, Jaeseong; Ahn, Chi Young; Choi, Jung-il; Seo, Jin Keun.

In: Computational and Mathematical Methods in Medicine, Vol. 2016, 6371078, 01.01.2016.

Research output: Contribution to journalArticle

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AB - For the assessment of the left ventricle (LV), echocardiography has been widely used to visualize and quantify geometrical variations of LV. However, echocardiographic image itself is not sufficient to describe a swirling pattern which is a characteristic blood flow pattern inside LV without any treatment on the image. We propose a mathematical framework based on an inverse problem for three-dimensional (3D) LV blood flow reconstruction. The reconstruction model combines the incompressible Navier-Stokes equations with one-direction velocity component of the synthetic flow data (or color Doppler data) from the forward simulation (or measurement). Moreover, time-varying LV boundaries are extracted from the intensity data to determine boundary conditions of the reconstruction model. Forward simulations of intracardiac blood flow are performed using a fluid-structure interaction model in order to obtain synthetic flow data. The proposed model significantly reduces the local and global errors of the reconstructed flow fields. We demonstrate the feasibility and potential usefulness of the proposed reconstruction model in predicting dynamic swirling patterns inside the LV over a cardiac cycle.

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