Initial clinical evaluation of stationary digital chest tomosynthesis

Allison E. Hartman; Jing Shan; Gongting Wu; Yueh Z. Lee; Otto Zhou; Jianping Lu; Michael Heath; Xiaohui Wang; David Foos

doi:10.1117/12.2216850

31 March 2016 Initial clinical evaluation of stationary digital chest tomosynthesis

Allison E. Hartman, Jing Shan, Gongting Wu, Yueh Z. Lee, Otto Zhou, Jianping Lu, Michael Heath, Xiaohui Wang, David Foos

Author Affiliations +

Proceedings Volume 9783, Medical Imaging 2016: Physics of Medical Imaging; 978366 (2016) https://doi.org/10.1117/12.2216850
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Computed Tomography (CT) is the gold standard for image evaluation of lung disease, including lung cancer and cystic fibrosis. It provides detailed information of the lung anatomy and lesions, but at a relatively high cost and high dose of radiation. Chest radiography is a low dose imaging modality but it has low sensitivity. Digital chest tomosynthesis (DCT) is an imaging modality that produces 3D images by collecting x-ray projection images over a limited angle. DCT is less expensive than CT and requires about 1/10th the dose of radiation. Commercial DCT systems acquire the projection images by mechanically scanning an x-ray tube. The movement of the tube head limits acquisition speed. We recently demonstrated the feasibility of stationary digital chest tomosynthesis (s-DCT) using a carbon nanotube (CNT) x-ray source array in benchtop phantom studies. The stationary x-ray source allows for fast image acquisition. The objective of this study is to demonstrate the feasibility of s-DCT for patient imaging. We have successfully imaged 31 patients. Preliminary evaluation by board certified radiologists suggests good depiction of thoracic anatomy and pathology.

Citation Download Citation

Allison E. Hartman, Jing Shan, Gongting Wu, Yueh Z. Lee, Otto Zhou, Jianping Lu, Michael Heath, Xiaohui Wang, and David Foos "Initial clinical evaluation of stationary digital chest tomosynthesis", Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 978366 (31 March 2016); https://doi.org/10.1117/12.2216850

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