Applications of matrix inverse tomosynthesis

Published

Journal Article

The improved image quality and characteristics of new flat-panel x-ray detectors have renewed interest in advanced algorithms such as tomosynthesis. Digital tomosynthesis is a method of acquiring and reconstructing a three-dimensional data set with limited-angle tube movement. Historically, conventional tomosynthesis reconstruction has suffered contamination of the planes of interest by blurred out-of-plane structures. This paper focuses on a Matrix Inversion Tomosynthesis (MITS) algorithm to remove unwanted blur from adjacent planes. The algorithm uses a set of coupled equations to solve for the blurring function in each reconstructed plane. This paper demonstrates the use of the MITS algorithm in three imaging applications: small animal microscopy, chest radiography, and orthopedics. The results of the MITS reconstruction process demonstrate an improved reduction of blur from out-of-plane structures when compared to conventional tomosynthesis. We conclude that the MITS algorithm holds potential in a variety of applications to improve three-dimensional image reconstruction.

Duke Authors

Cited Authors

  • Warp, RJ; Godfrey, DJ; Dobbins, JT

Published Date

  • January 1, 2000

Published In

Volume / Issue

  • 3977 /

Start / End Page

  • 376 - 383

International Standard Serial Number (ISSN)

  • 0277-786X

Citation Source

  • Scopus