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008181129s2017 ||| | | | eng d
020 ▼a 9780438125605
035 ▼a (MiAaPQ)AAI10902953
035 ▼a (MiAaPQ)umichrackham:001130
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 621.3
1001 ▼a Zheng, Jiabei.
24510 ▼a Improving Image Reconstruction for Digital Breast Tomosynthesis.
260 ▼a [S.l.] : ▼b University of Michigan., ▼c 2017
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2017
300 ▼a 228 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Advisers: Heang-Ping Chan
5021 ▼a Thesis (Ph.D.)--University of Michigan, 2017.
520 ▼a Digital 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
520 ▼a This 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
520 ▼a Chapter 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
590 ▼a School code: 0127.
650 4 ▼a Electrical engineering.
690 ▼a 0544
71020 ▼a University of Michigan. ▼b Electrical Engineering: Systems.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0127
791 ▼a Ph.D.
792 ▼a 2017
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000462 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자