Quantitative imaging biomarkers show great potential for use in radiotherapy. Quantitative
images based on microscopic tissue properties and tissue function can be used to improve …

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 …

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive solid
tumours with an estimated 5-year overall survival rate of 7% for all stages combined. In this …

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 …

Background Noninvasive diagnostic methods are urgently required in disease stratification
and monitoring in nonalcoholic fatty liver disease (NAFLD). Multiparametric magnetic …

Patient stratification based on biological variation in pancreatic ductal adenocarcinoma
(PDAC) subtypes could help to improve clinical outcome. However, noninvasive assessment …

Background/objectives The aim of this study was to compare intravoxel incoherent motion
(IVIM) diffusion weighted (DW) MRI and CT perfusion to assess tumor perfusion of …

Background There has been a growing interest in exploring the applications of stretched‐
exponential (SEM) and intravoxel incoherent motion (IVIM) models of diffusion‐weighted …

Magnetic resonance imaging (MRI) plays an important role in the modern radiation therapy
(RT) workflow. In comparison with computed tomography (CT) imaging, which is the …

Despite the utility of tumour characterisation using quantitative parameter maps from multi-b-
value diffusion-weighted MRI (DWI), clinicians often prefer the use of the image with highest …