Fluid solid interaction for vascular applications

16 mins 23 secs, 57.43 MB, Windows Media Video 44100 Hz, 478.59 kbits/sec

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Description:	Hose, R (Sheffield) Wednesday 22 July 2009, 13:30-13:45

Created:

2009-07-24 19:13

Collection:

Cardiac Physiome Project

Publisher:

Isaac Newton Institute

Hose, R (Sheffield)

Language:

eng (English)

Credits:

Author:

Hose, R


Abstract:	Classical fluid solid interaction calculations require specification of boundary conditions for both fluid and solid phases. For vascular applications the structural support conditions are provided by other tissue and organs, the stiffness and constraints on which are generally unknown. It is suggested that the the gross motion (as opposed to the local dilation) of large arteries such as the aorta should be constrained by information from 4D medical images. In this paper we focus on the computation of aortic pulse wave velocity from 4D image data. Our hypothesis is that this parameter can be measured using displacement fields obtained by registration of time-series images. We will present a method in which a form of the one-dimensional wave equation is used as a regularisation term in a linear least squares registration process. It is demonstrated that the method can capture the pulse wave velocity from numerical phantom images, even when noise is added to these images. The sensitivity of the method to a number of numerical and image parameters will be discussed. It will further demonstrated that the method yields plausible results when operated on a real 4D image dataset.

Abstract:

Classical fluid solid interaction calculations require specification of boundary conditions for both fluid and solid phases. For vascular applications the structural support conditions are provided by other tissue and organs, the stiffness and constraints on which are generally unknown. It is suggested that the the gross motion (as opposed to the local dilation) of large arteries such as the aorta should be constrained by information from 4D medical images. In this paper we focus on the computation of aortic pulse wave velocity from 4D image data. Our hypothesis is that this parameter can be measured using displacement fields obtained by registration of time-series images. We will present a method in which a form of the one-dimensional wave equation is used as a regularisation term in a linear least squares registration process. It is demonstrated that the method can capture the pulse wave velocity from numerical phantom images, even when noise is added to these images. The sensitivity of the method to a number of numerical and image parameters will be discussed. It will further demonstrated that the method yields plausible results when operated on a real 4D image dataset.

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