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Proceedings Paper

Evaluation of patient-specific scatter-corrected digital chest tomosynthesis
Author(s): Christina R. Inscoe; Connor Puett; Alex J. Billingsley; Otto Zhou; Jianping Lu; Yueh Z. Lee
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Paper Abstract

Purpose: Chest tomosynthesis is an attractive alternative to computed tomography (CT) for lung nodule screening, but reductions in image quality caused by radiation scatter remains an important limitation. Conventional anti-scatter grids result in higher patient dose, and alternative approaches are needed. The purpose of this study was to validate a lowdose patient-specific approach to scatter correction for an upcoming human imaging study.

Method: A primary sampling device (PSD) was designed and scatter correction algorithm incorporated into an experimental stationary digital chest tomosynthesis (s-DCT) system for this study to directly compute scatter from the primary beam information. Phantom and an in-vivo porcine subject were imaged. Total scan time was measured and image quality evaluated.

Results: Comparison of reconstruction slice images from uncorrected and scatter-corrected projection images reveals improved image quality, with increased feature conspicuity. Each scan in the current setup required twelve seconds, in addition to one second for PSD retraction, for a total scan time of 25 seconds.

Conclusions: We have evaluated the prototype low-dose, patient-specific scatter correction methodology using phantom studies in preparation for a clinical trial. Incorporating only 5% of additional patient dose, the reconstruction slices exhibit increased visual conspicuity of anatomical features, with the primary drawback of increased total scan time. Though used for tomosynthesis, the technique can be easily translated to digital radiography in lieu of an anti-scattering grid.

Paper Details

Date Published: 16 March 2020
PDF: 10 pages
Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 1131224 (16 March 2020); doi: 10.1117/12.2549316
Show Author Affiliations
Christina R. Inscoe, The Univ. of North Carolina at Chapel Hill (United States)
Connor Puett, The Univ. of North Carolina at Chapel Hill (United States)
Alex J. Billingsley, The Univ. of North Carolina at Chapel Hill (United States)
Otto Zhou, The Univ. of North Carolina at Chapel Hill (United States)
Jianping Lu, The Univ. of North Carolina at Chapel Hill (United States)
Yueh Z. Lee, Univ. of North Carolina at Chapel Hill (United States)


Published in SPIE Proceedings Vol. 11312:
Medical Imaging 2020: Physics of Medical Imaging
Guang-Hong Chen; Hilde Bosmans, Editor(s)

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