1 resultado para Oxygenation-sensitive cardiovascular magnetic resonance
em Illinois Digital Environment for Access to Learning and Scholarship Repository
Filtro por publicador
- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
- Aberdeen University (6)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (7)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (6)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (24)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (42)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (15)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (226)
- Boston University Digital Common (1)
- Brock University, Canada (6)
- Bucknell University Digital Commons - Pensilvania - USA (2)
- CaltechTHESIS (14)
- Cambridge University Engineering Department Publications Database (12)
- CentAUR: Central Archive University of Reading - UK (29)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (23)
- Cochin University of Science & Technology (CUSAT), India (6)
- Coffee Science - Universidade Federal de Lavras (1)
- Collection Of Biostatistics Research Archive (2)
- Digital Commons at Florida International University (8)
- DigitalCommons@The Texas Medical Center (20)
- DigitalCommons@University of Nebraska - Lincoln (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (20)
- Glasgow Theses Service (2)
- Helda - Digital Repository of University of Helsinki (30)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (81)
- Institutional Repository of Leibniz University Hannover (3)
- Instituto Politécnico de Bragança (1)
- Instituto Politécnico do Porto, Portugal (1)
- Massachusetts Institute of Technology (1)
- National Center for Biotechnology Information - NCBI (27)
- Nottingham eTheses (1)
- Publishing Network for Geoscientific & Environmental Data (4)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (23)
- Queensland University of Technology - ePrints Archive (67)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (46)
- Research Open Access Repository of the University of East London. (2)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- School of Medicine, Washington University, United States (2)
- Scientific Open-access Literature Archive and Repository (2)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (8)
- Universidad Politécnica de Madrid (10)
- Universidade de Lisboa - Repositório Aberto (2)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universita di Parma (1)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (8)
- Université de Montréal (3)
- Université de Montréal, Canada (16)
- University of Connecticut - USA (1)
- University of Michigan (3)
- University of Queensland eSpace - Australia (58)
- WestminsterResearch - UK (1)
Resumo:
This thesis aims to investigate vibrational characteristics of magnetic resonance elastography (MRE) of the brain. MRE is a promising, non-invasive methodology for the mapping of shear stiffness of the brain. A mechanical actuator shakes the brain and generates shear waves, which are then imaged with a special MRI sequence sensitive to sub-millimeter displacements. This research focuses on exploring the profile of vibrations utilized in brain elastography from the standpoint of ultimately investigating nonlinear behavior of the tissue. The first objective seeks to demonstrate the effects of encoding off-frequency vibrations using standard MRE methodologies. Vibrations of this nature can arise from nonlinearities in the system and contaminate the results of the measurement. The second objective is to probe nonlinearity in the dynamic brain system using MRE. A non-parametric decomposition technique, novel to the MRE field, is introduced and investigated.