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Diffusion MRI of the Hippocampus. [PDF]
J Neurosci, 2023 The hippocampus is a brain structure that plays key roles in a variety of cognitive processes. Critically, a wide range of neurological disorders are associated with degeneration of the hippocampal microstructure, defined as neurons, dendrites, glial cells, and more.
Karat BG, Köhler S, Khan AR.
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Geodesic Uncertainty in Diffusion MRI [PDF]
Frontiers in Computer Science, 2021 We study theoretical and operational issues of geodesic tractography, a geometric methodology for retrieving biologically plausible neural fibers in the brain from diffusion weighted magnetic resonance imaging.
Rick Sengers, Luc Florack, Andrea Fuster
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Diffusion MRI with Machine Learning. [PDF]
Imaging Neurosci (Camb)Abstract Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique capabilities including noninvasive probing of tissue microstructure and structural connectivity. It is widely used for clinical assessment of disease and injury, and for neuroscience research. Analyzing the dMRI data to extract useful information for
Karimi D, Warfield SK.
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Diffusion MRI of Complex Neural Architecture [PDF]
Neuron, 2003 While functional brain imaging methods can locate the cortical regions subserving particular cognitive functions, the connectivity between the functional areas of the human brain remains poorly understood. Recently, investigators have proposed a method to image neural connectivity noninvasively using a magnetic resonance imaging method called diffusion
David S. Tuch +3 more
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DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models [PDF]
International Conference on Learning Representations, 2023 Magnetic resonance imaging (MRI) is a common and life-saving medical imaging technique. However, acquiring high signal-to-noise ratio MRI scans requires long scan times, resulting in increased costs and patient discomfort, and decreased throughput. Thus,
Tiange Xiang +4 more
semanticscholar +1 more source
CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023 MRI synthesis promises to mitigate the challenge of missing MRI modality in clinical practice. Diffusion model has emerged as an effective technique for image synthesis by modelling complex and variable data distributions.
Lan Jiang +4 more
semanticscholar +1 more source
Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models [PDF]
arXiv.org, 2022 —MRI and CT are most widely used medical imaging modalities. It is often necessary to acquire multi-modality images for diagnosis and treatment such as radiotherapy planning.
Qing Lyu, Ge Wang
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Mapping microglia and astrocyte activation in vivo using diffusion MRI
Science Advances, 2022 While glia are increasingly implicated in the pathophysiology of psychiatric and neurodegenerative disorders, available methods for imaging these cells in vivo involve either invasive procedures or positron emission tomography radiotracers, which afford ...
Raquel Garcia-Hernandez +7 more
semanticscholar +1 more source
Diffusion MRI in the heart [PDF]
NMR in Biomedicine, 2015 Diffusion MRI provides unique information on the structure, organization, and integrity of the myocardium without the need for exogenous contrast agents. Diffusion MRI in the heart, however, has proven technically challenging because of the intrinsic non‐rigid deformation during the cardiac cycle, displacement of the myocardium due to respiratory ...
Mekkaoui, Choukri +4 more
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The Saudi Journal of Gastroenterology, 2020 Background/Aims: The development of infection in pancreatitis increases the mortality rate up to 32%. Therefore, it is important to identify patients who are at high risk of developing infection, at an early stage. The objectives of the study were (a) to
Binit Sureka +8 more
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