Echo Time Effects on Tensor-Valued Diffusion MRI: Implications for Standardization and Microstructural Characterization

Сохранить в:
Библиографические подробности
Опубликовано в::ProQuest Dissertations and Theses (2025)
Главный автор: Mushtaha, Farah
Опубликовано:
ProQuest Dissertations & Theses
Предметы:
Online-ссылка:Citation/Abstract
Full Text - PDF
Full text outside of ProQuest
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

MARC

LEADER 00000nab a2200000uu 4500
001 3224565210
003 UK-CbPIL
020 |a 9798283493596 
035 |a 3224565210 
045 2 |b d20250101  |b d20251231 
084 |a 66569  |2 nlm 
100 1 |a Mushtaha, Farah 
245 1 |a Echo Time Effects on Tensor-Valued Diffusion MRI: Implications for Standardization and Microstructural Characterization 
260 |b ProQuest Dissertations & Theses  |c 2025 
513 |a Dissertation/Thesis 
520 3 |a Diffusion Magnetic Resonance Imaging (dMRI) is a non-invasive technique that examines the microscopic organization of brain tissues by measuring the random motion of water molecules. Advances like b-tensor encoding have enhanced the ability to distinguish between isotropic and anisotropic diffusion, providing deeper insights into complex tissue structures. This study evaluates the impact of echo time (TE) on dMRI parameters in white matter (WM), cortical gray matter (GM), and deep gray matter (DGM). Using multiple TE values and integrating free water elimination (FWE), we identified significant tissue-specific sensitivities to TE, particularly in kurtosis metrics within DGM. While WM exhibited minimal sensitivity to TE, cortical GM and DGM showed notable variations, reflecting their intricate microstructural properties. These results emphasize the importance of standardized imaging protocols to ensure consistency and reproducibility across institutions. Additionally, TE-sensitive metrics hold potential as biomarkers for diagnosing and monitoring neurological conditions that affect GM and DGM, such as Alzheimer’s disease and stroke. Future studies should aim to disentangle the effects of TE and diffusion time to deepen our understanding and apply these findings to clinical settings. 
653 |a Kurtosis 
653 |a Alzheimer's disease 
653 |a Brownian motion 
653 |a Nuclear magnetic resonance--NMR 
653 |a Brain research 
653 |a Magnetic fields 
653 |a Normal distribution 
653 |a Water 
653 |a Hydrogen 
653 |a Probability distribution 
653 |a Open access 
653 |a Cells 
653 |a Neurons 
653 |a Homeostasis 
653 |a Multiple sclerosis 
653 |a Signal to noise ratio 
653 |a Magnetic resonance imaging 
653 |a Information processing 
653 |a Anisotropy 
653 |a Nervous system 
653 |a Eigenvalues 
653 |a Tissues 
653 |a Atoms & subatomic particles 
653 |a Atomic physics 
653 |a Electromagnetics 
653 |a Medical imaging 
653 |a Medicine 
653 |a Neurosciences 
653 |a Physiology 
653 |a Statistics 
773 0 |t ProQuest Dissertations and Theses  |g (2025) 
786 0 |d ProQuest  |t ProQuest Dissertations & Theses Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3224565210/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3224565210/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u https://ir.lib.uwo.ca/etd/10731