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Three-Dimensional Quantification of Myocardial Collagen Morphology from Confocal Images Read chapter Read first chapter

2017 | OriginalPaper | Chapter

3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI

Authors : Dong Yang, Pengxiang Wu, Chaowei Tan, Kilian M. Pohl, Leon Axel, Dimitris Metaxas

Published in: Functional Imaging and Modelling of the Heart

Publisher: Springer International Publishing

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Abstract

The analysis of left ventricle (LV) wall motion is a critical step for understanding cardiac functioning mechanisms and clinical diagnosis of ventricular diseases. We present a novel approach for 3D motion modeling and analysis of LV wall in cardiac magnetic resonance imaging (MRI). First, a fully convolutional network (FCN) is deployed to initialize myocardium contours in 2D MR slices. Then, we propose an image registration algorithm to align MR slices in space and minimize the undesirable motion artifacts from inconsistent respiration. Finally, a 3D deformable model is applied to recover the shape and motion of myocardium wall. Utilizing the proposed approach, we can visually analyze 3D LV wall motion, evaluate cardiac global function, and diagnose ventricular diseases.

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Metadata
Title
3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI
Authors
Dong Yang
Pengxiang Wu
Chaowei Tan
Kilian M. Pohl
Leon Axel
Dimitris Metaxas
Copyright Year
2017
Book
Functional Imaging and Modelling of the Heart

Print ISBN: 978-3-319-59447-7

Electronic ISBN: 978-3-319-59448-4

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-59448-4_46

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