Three-dimensional and Four-dimensional Cardiopulmonary Image Analysis

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

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.

Keywords

Wall Shear Stress Right Ventricle Abdominal Aortic Aneurysm Right Ventricular Outflow Tract Airway Wall 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgments

The work presented in this chapter was supported in part by the National Institutes of Health, Bethesda, MD (grants R01 EB004640, R01 HL 063373, R01 HL 064368, R01 HL 071809), and by Philips Medical Systems, Cleveland, OH (Section 2.4.2).

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Andreas Wahle
    • 1
  • Honghai Zhang
    • 2
  • Fei Zhao
    • 2
  • Kyungmoo Lee
    • 3
  • Richard W. Downe
    • 2
  • Mark E. Olszewski
    • 4
  • Soumik Ukil
    • 5
  • Juerg Tschirren
    • 7
  • Hidenori Shikata
    • 6
  • Milan Sonka
    • 2
  1. 1.Department of Electrical and Computer EngineeringIowa Institute for Biomedical Imaging, The University of IowaIowa CityUSA
  2. 2.Department of Electrical and Computer EngineeringIowa Institute for Biomedical Engineering, The University of IowaIowa CityUSA
  3. 3.Department of Electrical and Computer Engineering, Department of Biomedical EngineeringIowa Institute for Biomedical Engineering, The University of IowaIowa CityUSA
  4. 4.Philips Healthcare, CT Clinical ScienceHighland HeightsUSA
  5. 5.Imaging and Video Services, Nokia India Pvt. LimitedBangaloreIndia
  6. 6.Ziosoft Inc.Redwood CityUSA
  7. 7.Department of Electrical and Computer Engineering, Department of Biomedical EngineeringIowa Institute for Biomedical Engineering, The University of IowaIowa CityUSA

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