Enhancing the image quality of digital breast tomosynthesis

Breast tomosynthesis;X-ray scatter;Principal component analysis;Spectral reconstruction;Dosimetry

Feng, Si ; Sechopoulos, Ioannis Biomedical Engineering (Joint GT/Emory Department) Oshinski, John Tang, Xiangyang Tridandapani, Srini D'Orsi, Carl ; Sechopoulos, Ioannis

University:Georgia Institute of Technology

Department:Biomedical Engineering (Joint GT/Emory Department)

关键词: Breast tomosynthesis;    X-ray scatter;    Principal component analysis;    Spectral reconstruction;    Dosimetry;   

Others  :  https://smartech.gatech.edu/bitstream/1853/52151/1/FENG-DISSERTATION-2013.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

A novel imaging technology, digital breast tomosynthesis (DBT), is a technique that overcomes the tissue superposition limitation of conventional mammography by acquiring a limited number of X-ray projections from a narrow angular range, and combining these projections to reconstruct a pseudo-3D image. The emergence of DBT as a potential replacement or adjunct to mammographic screening mandates that solutions be found to two of its major limitations, namely X-ray scatter and mono-energetic reconstruction methods. A multi-faceted software-based approach to enhance the image quality of DBT imaging has the potential to increase the sensitivity and specificity of breast cancer detection and diagnosis. A scatter correction (SC) algorithm and a spectral reconstruction (SR) algorithm are both ready for implementation and clinical evaluation in a DBT system and exhibit the potential to improve image quality. A principal component analysis (PCA) based model of breast shape and a PCA model of X-ray scatter optimize the SC algorithm for the clinical realm. In addition, a comprehensive dosimetric characterization of a FDA approved DBT system has also been performed, and the feasibility of a new dual-spectrum, single-acquisition DBT imaging technique has also been evaluated.