Book chapter
Three-dimensional and Four-dimensional Cardiopulmonary Image Analysis
Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems, pp.35-102
Springer US
11/03/2010
DOI: 10.1007/978-1-4419-7350-4_2
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.
Details
- Title: Subtitle
- Three-dimensional and Four-dimensional Cardiopulmonary Image Analysis
- Creators
- Andreas Wahle - University of IowaHonghai Zhang - University of IowaFei Zhao - University of IowaKyungmoo Lee - University of IowaRichard W Downe - University of IowaMark E Olszewski - PhilipsSoumik Ukil - NokiaJuerg Tschirren - University of IowaHidenori Shikata - Ziosoft Inc.Milan Sonka - University of Iowa
- Resource Type
- Book chapter
- Publication Details
- Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems, pp.35-102
- DOI
- 10.1007/978-1-4419-7350-4_2
- Publisher
- Springer US; Boston, MA
- Language
- English
- Date published
- 11/03/2010
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; The Iowa Institute for Biomedical Imaging; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186590902771
Metrics
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