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Improving Image Reconstruction for Digital Breast Tomosynthesis

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자료유형학위논문
서명/저자사항Improving Image Reconstruction for Digital Breast Tomosynthesis.
개인저자Zheng, Jiabei.
단체저자명University of Michigan. Electrical Engineering: Systems.
발행사항[S.l.]: University of Michigan., 2017.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2017.
형태사항228 p.
기본자료 저록Dissertation Abstracts International 79-12B(E).
Dissertation Abstract International
ISBN9780438125605
학위논문주기Thesis (Ph.D.)--University of Michigan, 2017.
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Advisers: Heang-Ping Chan
요약Digital breast tomosynthesis (DBT) has been developed to reduce the issue of overlapping tissue in conventional 2-D mammography for breast cancer screening and diagnosis. In the DBT procedure, the patient's breast is compressed with a paddle and
요약This dissertation focuses on improving image quality for DBT reconstruction. Chapter I briefly introduces the concept of DBT and the inspiration of my study. Chapter II covers the background of my research including the concept of image reconstr
요약Chapter V investigates truncated projection artifact (TPA) removal algorithms. Among the three algorithms we proposed, the pre-reconstruction-based projection view (PV) extrapolation method provides the best performance. Possible improvements of
일반주제명Electrical engineering.
언어영어
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