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Proceedings Paper

Low dose scatter correction for digital chest tomosynthesis
Author(s): Christina R. Inscoe; Gongting Wu; Jing Shan; Yueh Z. Lee; Otto Zhou; Jianping Lu
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Paper Abstract

Digital chest tomosynthesis (DCT) provides superior image quality and depth information for thoracic imaging at relatively low dose, though the presence of strong photon scatter degrades the image quality. In most chest radiography, anti-scatter grids are used. However, the grid also blocks a large fraction of the primary beam photons requiring a significantly higher imaging dose for patients. Previously, we have proposed an efficient low dose scatter correction technique using a primary beam sampling apparatus. We implemented the technique in stationary digital breast tomosynthesis, and found the method to be efficient in correcting patient-specific scatter with only 3% increase in dose. In this paper we reported the feasibility study of applying the same technique to chest tomosynthesis. This investigation was performed utilizing phantom and cadaver subjects. The method involves an initial tomosynthesis scan of the object. A lead plate with an array of holes, or primary sampling apparatus (PSA), was placed above the object. A second tomosynthesis scan was performed to measure the primary (scatter-free) transmission. This PSA data was used with the full-field projections to compute the scatter, which was then interpolated to full-field scatter maps unique to each projection angle. Full-field projection images were scatter corrected prior to reconstruction. Projections and reconstruction slices were evaluated and the correction method was found to be effective at improving image quality and practical for clinical implementation.

Paper Details

Date Published: 18 March 2015
PDF: 8 pages
Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 941248 (18 March 2015); doi: 10.1117/12.2082549
Show Author Affiliations
Christina R. Inscoe, Univ. of North Carolina at Chapel Hill (United States)
Gongting Wu, Univ. of North Carolina at Chapel Hill (United States)
Jing Shan, Univ. of North Carolina at Chapel Hill (United States)
Yueh Z. Lee, Univ. of North Carolina at Chapel Hill (United States)
Otto Zhou, Univ. of North Carolina at Chapel Hill (United States)
Jianping Lu, Univ. of North Carolina at Chapel Hill (United States)

Published in SPIE Proceedings Vol. 9412:
Medical Imaging 2015: Physics of Medical Imaging
Christoph Hoeschen; Despina Kontos, Editor(s)

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