Cone Beam Computed Tomography

Description

Conventional computed tomography (CT) techniques employ a narrow array of x-ray detectors and a fan-shaped x-ray beam to rotate around the patient to produce images of thin sections of the patient. Large sections of the body are covered by moving the patient into the rotating x-ray detector and x-ray source gantry. Cone beam CT is an alternative technique using a large area detector and cone-shaped x-ray beam to produce 3D images of a thick section of the body with one full angle (360 degree or 180 degree plus detector coverage) rotation. It finds applications in situations where bulky, conventional CT systems would interfere with clinical procedures or cannot be integrated with the primary treatments or imaging systems.

Cone Beam Computed Tomography explores the past, present, and future state of medical x-ray imaging while explaining how cone beam CT, with its superior spatial resolution and compact configuration, is used in clinical applications and animal research.

• Supplies a detailed introduction to cone beam CT, covering basic principles and applications as well as advanced techniques
• Explores state-of-the-art research and future developments while examining the fundamental limitations of the technology
• Addresses issues related to implementation and system characteristics, including image quality, artifacts, radiation dose, and perception
• Reviews the historical development of medical x-ray imaging, from conventional CT techniques to volumetric 3D imaging
• Discusses the major components of cone beam CT: image acquisition, reconstruction, processing, and display

A reference work for scientists, engineers, students, and imaging professionals, Cone Beam Computed Tomography provides a solid understanding of the theory and implementation of this revolutionary technology.

Table of Contents

Part I: Fundamental Principles and Techniques

• History of X-Ray Computed Tomography: From Fan-Beam to Cone Beam
  Jiang Hsieh
• Acquisition of Projection Images
  Wei Zhao and Jeffrey H. Siewerdsen
• Reconstruction Algorithms
  Liang Li, Zhiqiang Chen, Ge Wang
• Cone Beam CT Image Quality
  Jeffrey H. Siewerdsen, Wojciech Zbijewski, and Jennifer Xu
• Radiation Dose
  Ioannis Sechopoulos

Part II: Advanced Techniques

• Image Simulation
  Iacovos Kyprianou, Andreu Badal, S. Gu, and Aldo Badano
• 3D Image Processing, Analysis, and Visualization
  Kenneth R. Hoffmann, Peter B. Noël, and Martin Fiebich
• Volume-of-Interest Cone Beam CT
  Chris C. Shaw
• 4D Cone Beam CT
  Tinsu Pan
• Image Correction
  Cem Altunbas

Part III: Applications

• Multi-Detector Row CT
  Xiang-Yang Tang
• Cone Beam Micro-CT for Small Animal Research
  Erik Ritman
• Cardiac Imaging
  Katsuyuki (Ken) Taguchi and Elliot K. Fishman
• C-Arm CT in the Interventional Suite
  Rebecca Fahrig, Jared Starman, Erin Girard, Amin Al-Ahmad, Hewei Gao, Nishita Kothary, and Arundhuti Ganguly
• Cone Beam CT: Transforming Radiation Treatment Guidance, Planning, and Monitoring
  John W. Wong, David A. Jaffray, Jeffrey H. Siewerdsen, and Di Yan
• Breast CT
  Stephen J. Glick

Editor

Chris C. Shaw is a professor and the director of digital imaging research at the University of Texas M. D. Anderson Cancer Center, Houston. He received his Ph.D from the University of Wisconsin-Madison under the supervision of Charles A. Mistretta. As a graduate student, he participated in Dr. Mistretta’s research in developing the digital subtraction angiography (DSA) technique. He has since been working on the development and investigation of new medical x-ray imaging techniques, including cone beam CT and digital tomosynthesis, for applications to angiography, mammography, chest imaging, and interventional imaging.