LDR | | 00000nam u2200205 4500 |
001 | | 000000433102 |
005 | | 20200225112153 |
008 | | 200131s2019 ||||||||||||||||| ||eng d |
020 | |
▼a 9781085746830 |
035 | |
▼a (MiAaPQ)AAI13814673 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 616 |
100 | 1 |
▼a Alathur Rangarajan, Anusha. |
245 | 10 |
▼a Multimodal Magnetic Resonance Imaging Predicts Regional Amyloid Burden in the Brain. |
260 | |
▼a [S.l.]:
▼b University of Pittsburgh.,
▼c 2019. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
300 | |
▼a 138 p. |
500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-03, Section: B. |
500 | |
▼a Advisor: Aizenstein, Howard. |
502 | 1 |
▼a Thesis (Ph.D.)--University of Pittsburgh, 2019. |
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▼a This item must not be sold to any third party vendors. |
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▼a Alzheimer's disease (AD) is the most common cause of dementia and identifying early markers of this disease is important for prevention and treatment strategies. Amyloid-棺 (A棺) protein deposition is one of the earliest detectable pathological changes in AD. But in-vivo detection of A棺 using positron emission tomography (PET) is hampered by high cost and limited geographical accessibility. These factors can become limiting when PET is used to screen large numbers of subjects into prevention trials when only a minority are expected to be amyloid-positive. Structural MRI is advantageous |
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▼a School code: 0178. |
650 | 4 |
▼a Bioengineering. |
650 | 4 |
▼a Neurosciences. |
650 | 4 |
▼a Medical imaging. |
690 | |
▼a 0202 |
690 | |
▼a 0574 |
690 | |
▼a 0317 |
710 | 20 |
▼a University of Pittsburgh.
▼b Swanson School of Engineering. |
773 | 0 |
▼t Dissertations Abstracts International
▼g 81-03B. |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0178 |
791 | |
▼a Ph.D. |
792 | |
▼a 2019 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15490801
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 202002
▼f 2020 |
990 | |
▼a ***1816162 |
991 | |
▼a E-BOOK |