• Media type: E-Book
  • Title: Spectral computed tomography
  • Contributor: Heismann, Björn J. [Author]; Schmidt, Bernhard T. [Other]; Flohr, Thomas [Other]
  • Corporation: SPIE ; Society of Photo-optical Instrumentation Engineers ; SPIE (Society)
  • imprint: Bellingham, Wash. <1000 20th St. Bellingham WA 98225-6705 USA>: SPIE, 2012
  • Published in: SPIE press monograph ; 226
  • Extent: 1 online resource (ix, 116 p.); ill., digital file
  • Language: English
  • DOI: 10.1117/3.977546
  • ISBN: 9780819492586
  • Identifier:
  • Keywords: Tomography ; Dual-energy X-ray absorptiometry ; Image analysis ; Radiography, Dual-Energy Scanned Projection ; Absorptiometry, Photon ; Tomography, X-Ray Computed ; Contrast Media diagnostic use ; Radiographic Image Interpretation, Computer-Assisted ; Electronic books
  • Reproduction note: Also available in print version
  • Origination:
  • Footnote: "SPIE Digital Library."--Website. - Includes bibliographical references. - Title from PDF title page (SPIE eBooks Website, viewed 2012-10-11)
    Includes bibliographical references
    Restricted to subscribers or individual electronic text purchasers
    Mode of access: World Wide Web
    System requirements: Adobe Acrobat Reader
  • Description: Computed tomography (CT) is a widely used x-ray scanning technique. In its prominent use as a medical imaging device, CT serves as a workhorse in many clinical settings throughout the world. It provides answers to urgent diagnostic tasks such as oncology tumor staging, acute stroke analysis, or radiation therapy planning. [i]Spectral Computed Tomography [/i]provides a concise, practical coverage of this important medical tool. The first chapter considers the main clinical motivations for spectral CT applications. In Chapter 2, the measurement properties of spectral CT systems are described. Chapter 3 provides an overview of the current state of research on spectral CT algorithms. Based on this overview, the technical realization of spectral CT systems is evaluated in Chapter 4. Device approaches such as DSCT, kV switching, and energy-resolving detectors are compared. Finally, Chapter 5 summarizes various algorithms for spectral CT reconstructions and spectral CT image postprocessing, and links these algorithms to clinical use cases

    Clinical motivation for spectral CT -- Physics of spectral CT measurements -- Spectral CT algorithms -- Techniques to acquire spectral CT data -- Clinical applications