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Measuring brain perfusion with intravoxel incoherent motion (IVIM): Initial clinical experience
Purpose To evaluate the feasibility of intravoxel incoherent motion (IVIM) perfusion measurements in the brain with currently available imaging systems.
Patric Hagmann +2 more
exaly +2 more sources
What can we see with IVIM MRI?
Intravoxel Incoherent Motion (IVIM) refers to translational movements which within a given voxel and during the measurement time present a distribution of speeds in orientation and/or amplitude. The IVIM concept has been used to estimate perfusion in tissues as blood flow in randomly oriented capillaries mimics a pseudo-diffusion process.
Denis Le Bihan
exaly +4 more sources
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Magnetic Resonance in Medicine, 2017
PurposeApplications of intravoxel incoherent motion (IVIM) imaging in the brain are scarce, whereas it has been successfully applied in other organs with promising results. To better understand the cerebral IVIM signal, the diffusion properties of the arterial blood flow within different parts of the cerebral vascular tree (i.e., different generations ...
Zhang, X.X. +4 more
openaire +3 more sources
PurposeApplications of intravoxel incoherent motion (IVIM) imaging in the brain are scarce, whereas it has been successfully applied in other organs with promising results. To better understand the cerebral IVIM signal, the diffusion properties of the arterial blood flow within different parts of the cerebral vascular tree (i.e., different generations ...
Zhang, X.X. +4 more
openaire +3 more sources
ISMRM Annual Meeting, 2023
The intravoxel incoherent motion (IVIM) DWI signal has been shown to depend on both b-value and the first motion moment (M1). However, traditional pseudo-diffusion IVIM signal models only include b-value dependence. In this work, monopolar and 2D (b-M1) IVIM acquisitions were acquired using diffusion gradient waveforms with different maximum amplitudes
Gregory Simchick, Diego Hernando
openaire +1 more source
The intravoxel incoherent motion (IVIM) DWI signal has been shown to depend on both b-value and the first motion moment (M1). However, traditional pseudo-diffusion IVIM signal models only include b-value dependence. In this work, monopolar and 2D (b-M1) IVIM acquisitions were acquired using diffusion gradient waveforms with different maximum amplitudes
Gregory Simchick, Diego Hernando
openaire +1 more source
Mathematically constrained intravoxel incoherent motion (IVIM)
ISMRM Annual Meeting, 2023Intravoxel incoherent motion (IVIM) provides a method of mapping slow and fast diffusion using a two-exponential model. Whilst this method has been applied in acute stroke, brain cancer and muscle, for example, it does have challenges. These include how to best fit the three model parameters which on top of the two diffusion coefficients includes the ...
Wang, Jiaqiu +10 more
openaire +2 more sources
Imaging the Ischemic Penumbra with IVIM
ISMRM Annual MeetingMotivation: Non-contrast accurate simultaneous perfusion diffusion could improve study of ischemic penumbra development in pre-clinical stroke research of novel therapeutics. Goal(s): Examine intravoxel incoherent motion (IVIM) perfusion and diffusion compared to local-AIF DSC in acute stroke with varying compensatory collateral supply Approach: Pre ...
Mira Liu +6 more
openaire +1 more source
ISMRM Annual Meeting, 2023
IVIM and DTI techniques are both sensitive to a variety of muscle disorders. Their combination can give a more complete description of ordered diffusion processes and perfusion. Model-based reconstruction can overcome many short-comings of image-based fitting such as Rician noise bias or low SNR.
Susanne Rauh +6 more
openaire +1 more source
IVIM and DTI techniques are both sensitive to a variety of muscle disorders. Their combination can give a more complete description of ordered diffusion processes and perfusion. Model-based reconstruction can overcome many short-comings of image-based fitting such as Rician noise bias or low SNR.
Susanne Rauh +6 more
openaire +1 more source
What can be reliably measured in IVIM model: exploring the collinearity in IVIM parameter fitting.
ISMRM Annual MeetingMotivation: Estimating IVIM diffusion MRI (dMRI) parameters through non-linear fitting is challenging due to the inherent ill-posed mathematical problem, causing large uncertainty and poor reproducibility. Goal(s): Understand IVIM-dMRI model properties and derive a more reliable metric than individual IVIM parameters.
Yan Dai +3 more
openaire +1 more source
IVIM improves preoperative assessment of microvascular invasion in HCC
European Radiology, 2019To prospectively evaluate the potential role of intravoxel incoherent motion (IVIM) and conventional radiologic features for preoperative prediction of microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC).Institutional review board approval and written informed consent were obtained for this study.
Yi Wei +8 more
openaire +2 more sources
IVIM perfusion fraction is prognostic for survival in brain glioma
Clinical Neuroradiology, 2016The interest in measuring brain perfusion with intravoxel incoherent motion (IVIM) MRI has significantly increased in the last 3Â years. Our aim was to evaluate the prognostic value for survival of intravoxel incoherent motion perfusion fraction in patients with gliomas, and compare it to dynamic susceptibility contrast relative cerebral blood volume ...
Christian, Federau +6 more
openaire +2 more sources

