European Journal of Radiology
Volume 72, Issue 2 , Pages 244-251, November 2009

Chest tomosynthesis: Technical principles and clinical update

  • James T. Dobbins III

      Affiliations

    • Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC, United States
    • Department of Biomedical Engineering, Duke University, United States
    • Medical Physics Graduate Program, Duke University Medical Center, United States
    • Corresponding Author InformationCorresponding author at: Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, 2424 Erwin Road, Suite 302, Duke University Medical Center, Durham, NC 27705, United States.
  • ,
  • H. Page McAdams

      Affiliations

    • Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC, United States

Received 7 May 2009; accepted 7 May 2009.

Abstract 

Digital tomosynthesis is a radiographic technique that can produce an arbitrary number of section images of a patient from a single pass of the X-ray tube. It utilizes a conventional X-ray tube, a flat-panel detector, a computer-controlled tube mover, and special reconstruction algorithms to produce section images. While it does not have the depth resolution of computed tomography (CT), tomosynthesis provides some of the tomographic benefits of CT but at lower cost and radiation dose than CT. Compared to conventional chest radiography, chest tomosynthesis results in improved visibility of normal structures such as vessels, airway and spine. By reducing visual clutter from overlying normal anatomy, it also enhances detection of small lung nodules. This review article outlines the components of a tomosynthesis system, discusses results regarding improved lung nodule detection from the recent literature, and presents examples of nodule detection from a clinical trial in human subjects. Possible implementation strategies for use in clinical chest imaging are discussed.

Keywords: Tomosynthesis, Chest radiography, Pulmonary nodules

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PII: S0720-048X(09)00356-8

doi:10.1016/j.ejrad.2009.05.054

European Journal of Radiology
Volume 72, Issue 2 , Pages 244-251, November 2009