Presentation + Paper
16 March 2020 Evaluation of patient-specific scatter-corrected digital chest tomosynthesis
Author Affiliations +
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.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christina R. Inscoe, Connor Puett, Alex J. Billingsley, Otto Zhou, Jianping Lu, and Yueh Z. Lee "Evaluation of patient-specific scatter-corrected digital chest tomosynthesis", Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 1131224 (16 March 2020); https://doi.org/10.1117/12.2549316
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KEYWORDS
Chest

Image quality

3D image reconstruction

Heart

Lung

Imaging systems

Reconstruction algorithms

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