Results 11 to 20 of about 2,219,909 (313)
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
Self-Supervised MRI Reconstruction with Unrolled Diffusion Models [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023 Magnetic Resonance Imaging (MRI) produces excellent soft tissue contrast, albeit it is an inherently slow imaging modality. Promising deep learning methods have recently been proposed to reconstruct accelerated MRI scans.
Yilmaz Korkmaz, Tolga Cukur, V. Patel
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
semanticscholar +1 more source
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
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
doaj +1 more source
Magnetic Resonance in Medicine, 2021 We combine SNR‐efficient acquisition and model‐based reconstruction strategies with newly available hardware instrumentation to achieve distortion‐free in vivo diffusion MRI of the brain at submillimeter‐isotropic resolution with high fidelity and ...
C. Liao +13 more
semanticscholar +1 more source
Association between in-scanner head motion with cerebral white matter microstructure: a multiband diffusion-weighted MRI study [PDF]
PeerJ, 2014 Diffusion-weighted Magnetic Resonance Imaging (DW-MRI) has emerged as the most popular neuroimaging technique used to depict the biological microstructural properties of human brain white matter.
Xiang-zhen Kong
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Magnetic resonance imaging prospects of prognostic value in women pelvic pathology
Сибирский научный медицинский журнал, 2021 Aim of the study was to estimate the prognostic value of perfusion and diffusion magnetic resonance imaging (MRI) methods in systemic evaluation of perifocal changes of malignant masses in women’s pelvis. Material and methods. A retrospective analysis of
T. A. Bergen +3 more
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Noninvasive quantification of axon radii using diffusion MRI
eLife, 2020 Axon caliber plays a crucial role in determining conduction velocity and, consequently, in the timing and synchronization of neural activation. Noninvasive measurement of axon radii could have significant impact on the understanding of healthy and ...
J. Veraart +6 more
semanticscholar +1 more source
Geodesic Uncertainty in Diffusion MRI
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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