Quantitative analysis of dynamic contrast-enhanced MR imaging (DCE-MR imaging) has the
power to provide information regarding physiologic characteristics of the microvasculature …

This article is intended to provide clinical neurologists with an overview of the major
techniques of advanced MRI of brain tumor: diffusion-weighted imaging, perfusion-weighted …

Functional diffusion map (fDM) has been recently reported as an early and quantitative
biomarker of clinical brain tumor treatment outcome. This MRI approach spatially maps and …

Since its introduction in the early 1990s, diffusion-weighted magnetic resonance imaging
(MRI) has played a crucial role in the non-invasive evaluation of tissue microstructure of …

Abstract Purpose Glioblastoma Multiforme (GBM) is the most common and lethal primary
brain tumor in adults. The goal of this study was to test the predictive value of MR …

Imaging is an indispensable tool for brain tumour diagnosis, surgical planning, and follow-
up. Definite diagnosis, however, often demands histopathological analysis of microscopic …

Response evaluation in solid tumours currently uses radiological imaging techniques to
measure changes under treatment. Imaging requires a well-defined anatomical lesion to be …

Purpose To demonstrate that a new set of parameters (D, β, and μ) from a fractional order
calculus (FROC) diffusion model can be used to improve the accuracy of MR imaging for …

Purpose Filter exchange imaging (FEXI) is sensitive to the rate of diffusional water
exchange, which depends, eg, on the cell membrane permeability. The aim was to optimize …

In recent years, the development of advanced magnetic resonance imaging (MRI)
technology and machine learning (ML) have created new tools for evaluating treatment …