Quantitative T2′-Mapping in Acute Ischemic Stroke-Reference-Cited by-同舟云学术

Quantitative T2′-Mapping in Acute Ischemic Stroke

Published:2014-11 Issue:11 Volume:45 Page:3280-3286
ISSN:0039-2499
Container-title:Stroke
language:en
Short-container-title:Stroke

Author:

Bauer Sonja¹,Wagner Marlies¹,Seiler Alexander¹,Hattingen Elke¹,Deichmann Ralf¹,Nöth Ulrike¹,Singer Oliver C.¹

Affiliation:

1. From the Department of Neurology (S.B., A.S., O.C.S.), Institute for Neuroradiology (M.W., E.H.); and Brain Imaging Center (R.D., U.N.), University Hospital Frankfurt, Goethe University, Frankfurt, Germany.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Neurology (clinical)

Reference20 articles.

1. MRI profile and response to endovascular reperfusion after stroke (DEFUSE 2): a prospective cohort study

2. MR diffusion and perfusion parameters: relationship to metabolites in acute ischaemic stroke

3. Associations Between Diffusion and Perfusion Parameters, N -Acetyl Aspartate, and Lactate in Acute Ischemic Stroke

4. The ischemic penumbra

5. Tissue at Risk of Infarction Rescued by Early Reperfusion: A Positron Emission Tomography Study in Systemic Recombinant Tissue Plasminogen Activator Thrombolysis of Acute Stroke

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DeepEMC‐T₂ mapping: Deep learning–enabled T₂ mapping based on echo modulation curve modeling;Magnetic Resonance in Medicine;2024-08-11

2. Quantitative BOLD (qBOLD) imaging of oxygen metabolism and blood oxygenation in the human body: A scoping review;Magnetic Resonance in Medicine;2024-07-28

3. Pial collaterals limit stroke progression and metabolic stress in hypoperfused tissue: An MRI perfusion and mq‐BOLD study;Journal of Neuroimaging;2024-06-26

4. Applications of Magnetic Resonance Imaging in Stroke for Multidimensional Assessment;AI and IoT-Based Technologies for Precision Medicine;2023-10-18

5. P2T2: A physically-primed deep-neural-network approach for robust T2 distribution estimation from quantitative T2-weighted MRI;Computerized Medical Imaging and Graphics;2023-07