Combined diffusion‐relaxometry microstructure imaging: Current status and future prospects
Microstructure imaging seeks to noninvasively measure and map microscopic tissue
features by pairing mathematical modeling with tailored MRI protocols. This article reviews …
features by pairing mathematical modeling with tailored MRI protocols. This article reviews …
Artificial intelligence in multiparametric magnetic resonance imaging: A review
Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …
Self‐supervised IVIM DWI parameter estimation with a physics based forward model
Purpose To assess the robustness and repeatability of intravoxel incoherent motion model
(IVIM) parameter estimation for the diffusion‐weighted MRI in the abdominal organs under …
(IVIM) parameter estimation for the diffusion‐weighted MRI in the abdominal organs under …
Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging
Novel methods for quantitative, transient-state multiparametric imaging are increasingly
being demonstrated for assessment of disease and treatment efficacy. Here, we build on …
being demonstrated for assessment of disease and treatment efficacy. Here, we build on …
Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging
Purpose Advanced MRI-based biomarkers offer comprehensive and quantitative information
for the evaluation and characterization of brain tumors. In this study, we report initial clinical …
for the evaluation and characterization of brain tumors. In this study, we report initial clinical …
Systematic review of reconstruction techniques for accelerated quantitative MRI
Purpose To systematically review the techniques that address undersampling artifacts in
accelerated quantitative magnetic resonance imaging (qMRI). Methods A literature search …
accelerated quantitative magnetic resonance imaging (qMRI). Methods A literature search …
[HTML][HTML] dtiRIM: a generalisable deep learning method for diffusion tensor imaging
Diffusion weighted MRI is an indispensable tool for routine patient screening and
diagnostics of pathology. Recently, several deep learning methods have been proposed to …
diagnostics of pathology. Recently, several deep learning methods have been proposed to …
Whole-brain imaging of subvoxel T1-diffusion correlation spectra in human subjects
T1 relaxation and water mobility generate eloquent MRI tissue contrasts with great
diagnostic value in many neuroradiological applications. However, conventional methods …
diagnostic value in many neuroradiological applications. However, conventional methods …
Multi‐band MR fingerprinting (MRF) ASL imaging using artificial‐neural‐network trained with high‐fidelity experimental data
Purpose We aim to leverage the power of deep‐learning with high‐fidelity training data to
improve the reliability and processing speed of hemodynamic mapping with MR …
improve the reliability and processing speed of hemodynamic mapping with MR …
Diffusion mri with machine learning
D Karimi - arXiv preprint arXiv:2402.00019, 2024 - arxiv.org
Diffusion-weighted magnetic resonance imaging (dMRI) offers unique capabilities such as
noninvasive assessment of brain's micro-structure and structural connectivity. However …
noninvasive assessment of brain's micro-structure and structural connectivity. However …