Share Email Print
cover

Proceedings Paper

Dual-energy computed radiography: improvements in processing
Author(s): David L. Ergun; Walter W. Peppler; James T. Dobbins; Frank E. Zink; David G. Kruger; Fredrick Kelcz; Frederik J. de Bruijn; Erwin B. Bellers; Yi Wang; Raymond J. Althof; Marco G.J. Wind
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We have reported on a single-exposure dual-energy system based on computed radiography (CR) technology. In a clinical study conducted over a two year period, the dual-energy system proved to be highly successful in improving the detection (p=0.0005) and characterization (p=0.005) of pulmonary nodules when compared to conventional screen-film radiography. The basic components of our dual-energy detector system include source filtration with gadolinium to produce a bi-modal x-ray spectrum and a cassette containing four CR imaging plates. The front and back plates record the low-energy and high-energy images, respectively, and the middle two plates serve as an intermediate filter. Since our initial report, a number of improvements have been made to make the system more practical. An automatic registration algorithm based on image features has been developed to align the front and back image plates. There have been two improvements in scatter correction: a simple correction is now made to account for scatter within the multi-plate detector; and a correction algorithm is applied to account for scatter variations between patients. An improved basis material decomposition (BMD) algorithm has been developed to facilitate automatic operation of the algorithm. Finally, two new noise suppression techniques are under investigation: one adjusts the noise filtering parameters depending on the strength of edge signals in the detected image in order to greatly reduce quantum mottle while minimizing the introduction of artifacts; a second routine uses knowledge of the region of valid low-energy and high-energy image data to suppress noise with minimal introduction of artifacts. This paper is a synthesis of recent work aimed at improving the performance of dual-energy CR conducted at three institutions: Philips Medical Systems, the University of Wisconsin, and Duke University.

Paper Details

Date Published: 11 May 1994
PDF: 9 pages
Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); doi: 10.1117/12.175102
Show Author Affiliations
David L. Ergun, Philips Medical Systems (United States)
Walter W. Peppler, Univ. of Wisconsin/Madison (United States)
James T. Dobbins, Duke Univ. Medical Ctr. (United States)
Frank E. Zink, Univ. of Wisconsin/Madison (United States)
David G. Kruger, Univ. of Wisconsin/Madison (United States)
Fredrick Kelcz, Univ. of Wisconsin/Madison (United States)
Frederik J. de Bruijn, Univ of Twente (Netherlands)
Erwin B. Bellers, Univ. of Twente (Netherlands)
Yi Wang, Univ. of Wisconsin/Madison (United States)
Raymond J. Althof, Duke Univ. Medical Ctr. (United States)
Univ. of Twente (Netherlands)
Marco G.J. Wind, Duke Univ. Medical Ctr. (United States)
Univ. of Twente (Netherlands)


Published in SPIE Proceedings Vol. 2167:
Medical Imaging 1994: Image Processing
Murray H. Loew, Editor(s)

© SPIE. Terms of Use
Back to Top