Share Email Print

Proceedings Paper

Improved SPECT reconstruction of Tc-99m sestamibi distribution in breast tissue
Author(s): Andrzej Krol; David H. Feiglin; George M. Gagne; Walter Huda; Gwen M. Tillapough-Fay; Bradford J. Hellwig; Deaver F. Thomas
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

This paper describes a new image reconstruction method to reduce the presence of image artifacts in scintimammography. SPECT data are mathematically modified prior to conventional image processing, followed by an inverse transform, which permits the tomographic visualization of low signals in the presence of large background intensities observed in scintimammography. Images of Tc-99m sestamibi distribution were obtained in a modeled `breast tissue', with a high activity in the `myocardium' as compared to the `breast tissue' (i.e. 20:1). Image reconstruction with the modified algorithm were qualitatively correct and demonstrated the regions of enhanced uptake (lesions) with no evidence of artifacts from the background counts in the heart. Comparison with MRI demonstrated that the hot regions were properly located and correlated with the MRI data. In contrast, a standard (i.e. Filtered Back Projection) reconstruction resulted in streak artifacts in place of `breast tissue' which rendered them clinically useless. This new approach to scintimammography offers the prospect of significantly reducing image artifacts and improving imaging accuracy.

Paper Details

Date Published: 24 June 1998
PDF: 10 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310923
Show Author Affiliations
Andrzej Krol, SUNY Health Science Ctr./Syracuse (United States)
David H. Feiglin, SUNY Health Science Ctr./Syracuse (United States)
George M. Gagne, SUNY Health Science Ctr./Syracuse (United States)
Walter Huda, SUNY Health Science Ctr./Syracuse (United States)
Gwen M. Tillapough-Fay, SUNY Health Science Ctr./Syracuse (United States)
Bradford J. Hellwig, SUNY Health Science Ctr./Syracuse (United States)
Deaver F. Thomas, SUNY Health Science Ctr./Syracuse (United States)

Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

© SPIE. Terms of Use
Back to Top