In recent years, radiotherapy (RT) has been subject to a number of technological
innovations. Today, RT is extremely flexible, allowing irradiation of tumours with high doses …

Purpose To ascertain whether complex dynamic contrast enhanced (DCE) MRI tracer kinetic
models are supported by data acquired in the clinic and to determine the consequences of …

Background: Solid tumors are known to be spatially heterogeneous. Detection of treatment-
resistant tumor regions can improve clinical outcome, by enabling implementation of …

We introduce and validate four adaptive models (AMs) to perform a physiologically based
Nested-Model-Selection (NMS) estimation of such microvascular parameters as forward …

Pharmacokinetic parameters estimated from dynamic contrast-enhanced magnetic
resonance imaging (DCE-MRI) time course data enable the physio-biological interpretation …

The purpose of this study was to identify the optimal tracer kinetic model from T1‐weighted
dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) data and evaluate …

Rectal tumour segmentation in dynamic contrast-enhanced MRI (DCE-MRI) is a challenging
task, and an automated and consistent method would be highly desirable to improve the …

Purpose Fitting tracer kinetic models using linear methods is much faster than using their
nonlinear counterparts, although this comes often at the expense of reduced accuracy and …

A variety of tracer kinetic methods have been employed to assess tumor angiogenesis. The
Standard two‐Compartment model (SC) used in cervix carcinoma was less frequent, and …

At present, the feature extraction method of radiology is mainly based on static tomography
images at a certain time. However, the occurrence and development of disease is a dynamic …