Practical strategies for the clinical implementation of matrix inversion tomosynthesis (MITS)


Journal Article

Digital tomosynthesis is a method that enables the retroactive reconstruction of arbitrary tomographic planes in an object from a finite series of digital projection radiographs, acquired with limited angle tube movement. Conventional tomosynthesis suffers from the presence of blurring artifacts, created by objects located outside of each reconstructed plane. Matrix inversion tomosynthesis (MITS) utilizes known acquisition geometry to solve directly for the unwanted out-of-plane blur artifacts, thus enabling their removal. This paper examines practical strategies for the implementation of MITS in a clinical setting, on a flat-panel fast-readout detector, with the aim of minimizing procedure time and image reconstruction artifacts concurrently. Topics include a comparison of continuous vs. incremental tube motion, the presence of reconstruction artifacts due to error in computing the x-ray tube location, the effect of scrubbing the detector between projections to reduce image retention, and a method for accounting for data that gets projected off the detector. We conclude that MITS is robust enough to be clinically applicable, even under less-than-ideal conditions. Rapid image acquisition with continuous tube movement and no detector scrubbing is clinically desirable for MITS imaging of the chest, where patient motion is a concern. Knowledge of the source-detector geometry can be satisfactorily determined via either a lead fiducial marker placed on the patient, or a tube motion device with sufficient precision and accuracy. Extrapolation of data at the top and bottom of projection images provides excellent amelioration of image truncation artifacts.

Full Text

Duke Authors

Cited Authors

  • Godfrey, DJ; Rader, A; Dobbins, JT

Published Date

  • September 15, 2003

Published In

Volume / Issue

  • 5030 I /

Start / End Page

  • 379 - 390

International Standard Serial Number (ISSN)

  • 0277-786X

Digital Object Identifier (DOI)

  • 10.1117/12.480352

Citation Source

  • Scopus