Abstract 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 …

Diffusion‐weighted imaging (DWI) is increasingly being incorporated into routine breast MRI
protocols in many institutions worldwide, and there are abundant breast DWI indications …

Purpose Earlier work showed that IVIM‐NETorig, an unsupervised physics‐informed deep
neural network, was faster and more accurate than other state‐of‐the‐art intravoxel …

Purpose This prospective clinical study assesses the feasibility of training a deep neural
network (DNN) for intravoxel incoherent motion (IVIM) model fitting to diffusion‐weighted …

Objectives Standardization is an important milestone in the validation of DWI-based
parameters as imaging biomarkers for renal disease. Here, we propose technical …

Recent developments in MR hardware and software have allowed a surge of interest in
intravoxel incoherent motion (IVIM) MRI in oncology. Beyond diffusion-weighted imaging …

Background Diffusion‐weighted MRI (DWI) is currently one of the fastest developing MRI‐
based techniques in oncology. Histogram properties from model fitting of DWI are useful …

Objective Intravoxel incoherent motion (IVIM) shows great potential in many applications, eg,
tumor tissue characterization. To reduce image-quality demands, various IVIM analysis …

The intravoxel incoherent motion (IVIM) model for diffusion-weighted imaging (DWI) MRI
data bears much promise as a tool for visualizing tumours and monitoring treatment …

Purpose Bayesian model fitting has been proposed as a robust alternative for intravoxel
incoherent motion (IVIM) model‐fitting parameter estimation. However, consensus regarding …