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020 ▼a 9780438083998
035 ▼a (MiAaPQ)AAI10790732
035 ▼a (MiAaPQ)uchicago:14278
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 616
1001 ▼a Rose, Sean Douglas. ▼0 (orcid)0000-0002-8731-3020.
24510 ▼a Objective Characterization of Image Reconstruction Algorithms in Computed Tomography and Digital Breast Tomosynthesis.
260 ▼a [S.l.]: ▼b The University of Chicago., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 171 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
500 ▼a Adviser: Xiaochuan Pan.
5021 ▼a Thesis (Ph.D.)--The University of Chicago, 2018.
520 ▼a Both X-ray computed tomography (CT) and digital breast tomosynthesis (DBT) have become important clinical tools for the non-invasive assessment and diagnosis of disease in the breast. The continuing development and refinement of image reconstruc
590 ▼a School code: 0330.
650 4 ▼a Medical imaging.
650 4 ▼a Physics.
690 ▼a 0574
690 ▼a 0605
71020 ▼a The University of Chicago. ▼b Medical Physics.
7730 ▼t Dissertation Abstracts International ▼g 79-11B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0330
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997601 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033