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Image Acquisition for Cardiovascular and Pulmonary Applications Read chapter Read first chapter

2011 | OriginalPaper | Chapter

2. Three-dimensional and Four-dimensional Cardiopulmonary Image Analysis

Authors : Andreas Wahle, Honghai Zhang, Fei Zhao, Kyungmoo Lee, Richard W. Downe, Mark E. Olszewski, Soumik Ukil, Juerg Tschirren, Hidenori Shikata, Milan Sonka

Published in: Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems

Publisher: Springer US

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Abstract

Modern medical imaging equipment can provide data that describe the anatomy and function of structures in the body. Image segmentation techniques are needed to take this raw data and identify and delineate the relevant cardiovascular and pulmonary anatomy to put it into a form suitable for 3D and 4D modeling and simulation. These methods must be able to handle large multi-dimensional data sets, possibly limited in resolution, corrupted by noise and motion blur, and sometimes depicting unusual anatomy due to natural shape variation across the population or due to disease processes. This chapter describes modern techniques for robust, automatic image segmentation. Several applications in cardiovascular and pulmonary imaging are presented.

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previous chapter Image Acquisition for Cardiovascular and Pulmonary Applications
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Metadata
Title
Three-dimensional and Four-dimensional Cardiopulmonary Image Analysis
Authors
Andreas Wahle
Honghai Zhang
Fei Zhao
Kyungmoo Lee
Richard W. Downe
Mark E. Olszewski
Soumik Ukil
Juerg Tschirren
Hidenori Shikata
Milan Sonka
Copyright Year
2011
Publisher
Springer US
Book
Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems

Print ISBN: 978-1-4419-7349-8

Electronic ISBN: 978-1-4419-7350-4

Copyright Year: 2011

DOI
https://doi.org/10.1007/978-1-4419-7350-4_2