TU‐A‐217A‐02: Radiographic Tomosynthesis: Reconstruction Algorithms

Published

Conference Paper

Digital tomosynthesis is a form of limited angle tomography, in which section (slice) images are produced from a series of discrete projection images acquired at different angles. The simplest form of tomosynthesis reconstruction is the shift‐and‐add technique, whereby the projection images are shifted with respect to one another and then summed to render a particular section of the patient. While this technique is efficient, it also leaves blurry artifacts from structures that are outside of the plane of interest. High quality tomosynthesis reconstruction therefore requires some means of reducing these blurry artifacts. Three approaches have been widely reported for tomosynthesis reconstruction with blur removal: (1) filtered backprojection, (2) matrix inversion tomosynthesis, and (3) various iterative reconstruction schemes. Fundamentals of these three approaches will be discussed, along with the advantages and limitations of each. Learning Objectives: 1. To understand the basics of tomosynthesis reconstruction 2. To understand the mathematical background and implementation strategies for filtered backprojection, matrix inversion tomosynthesis, and iterative reconstruction schemes 3. To understand the relative advantages and disadvantages of the three reconstruction algorithmsResearch sponsored in part by NIH and GE Healthcare. © 2012, American Association of Physicists in Medicine. All rights reserved.

Full Text

Duke Authors

Cited Authors

  • Dobbins, J

Published Date

  • January 1, 2012

Published In

Volume / Issue

  • 39 / 6

Start / End Page

  • 3893 -

International Standard Serial Number (ISSN)

  • 0094-2405

Digital Object Identifier (DOI)

  • 10.1118/1.4735892

Citation Source

  • Scopus