Accurate and Efficient 3D Reconstruction of Right Heart Shape and Motion from Multi-Series Cine-MRI

Author:

Renzi FrancescaORCID,Vergara ChristianORCID,Fedele MarcoORCID,Giambruno Vincenzo,Quarteroni Alfio MariaORCID,Puppini Giovanni,Luciani Giovanni BattistaORCID

Abstract

AbstractThe accurate reconstruction of the right heart geometry and motion from time-resolved medical images enhances diagnostic tools based on image visualization as well as the analysis of cardiac blood dynamics through computational methods. Due to the peculiarity of the right heart morphology and motion, commonly used segmentation and/or reconstruction techniques, which only employ Short-Axis cine-MRI, lack accuracy in relevant regions of the right heart, like the ventricular base and the outflow tract. Moreover, the reconstruction procedure is time-consuming and, in the case of the generation of computational domains, requires a lot of manual intervention.This paper presents a new method for the accurate and efficient reconstruction of the right heart geometry and motion from time-resolved MRI. In particular, the proposed method makes use of surface morphing to merge information coming from multi-series cine-MRI (such as Short/Long-Axis and 2/3/4 Chambers acquisitions) and to reconstruct important cardiac features. It also automatically provides the complete cardiac contraction and relaxation motion by exploiting a suitable image registration technique. The method is applied both to a healthy and a pathological (tetralogy of Fallot) case, and yelds more accurate results than standard procedures. The proposed method is also employed to provide significant input for computational fluid dynamics. The corresponding numerical results demonstrate the reliability of our approach in the computation of clinically relevant blood dynamics quantities.

Publisher

Cold Spring Harbor Laboratory

Reference73 articles.

1. , 2019. Mathematical modelling of the human cardiovas- cular system: data, numerical approximation, clinical applications. volume 33. Cambridge University Press.

2. 123sonography, 2023. Pulmonary acceleration time to estimate pulmonary pressure. https://123sonography.com/ebook/pulmonary-acceleration-time-to-estimate-pulmonary-pressure (last accessed: April 2023).

3. lifex: A flexible, high performance library for the numerical solution of complex finite element problems;SoftwareX,2022

4. Africa, P.C. , Fumagalli, I. , Bucelli, M. , Zingaro, A. , Dede, L. , Quarteroni, A. , 2023. lifex-cfd: an open-source computational fluid dynamics solver for cardiovascular applications. arXiv preprint arXiv:2304.12032, MOX Report 38/2023.

5. Al Khalil, Y. , Amirrajab, S. , Lorenz, C. , Weese, J. , Pluim, J. , Breeuwer, M. , 2023. Reducing segmentation failures in cardiac mri via late feature fusion and gan-based augmentation. Computers in Biology and Medicine, 106973.

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