Regional variations in tumor blood flow and necrosis are commonly observed in cross
sectional imaging of clinical cancers. We hypothesize that radiologically-defined regional …

Glioblastoma is the most malignant form of brain cancer. It is extremely invasive; the
mechanisms that govern invasion are not well understood. To better understand the process …

Objectives: Glioblastoma multiforme (GBM) is a highly infiltrative primary brain tumour with
an aggressive clinical course. Diffusion tensor imaging (DT-MRI or DTI) is a recently …

The purpose of this study is to investigate the feasibility of using a continuous‐time random‐
walk (CTRW) diffusion model, together with a quartile histogram analysis, for assessing …

Effective drug delivery for many neurodegenerative diseases or tumors of the central
nervous system is challenging. Targeted invasive delivery of large macromolecules such as …

The brain tumour glioblastoma is characterised by diffuse and infiltrative growth into
surrounding brain tissue. At the macroscopic level, the progression speed of a glioblastoma …

Noninvasive imaging methods are sought to objectively predict early response to therapy for
high-grade glioma tumors. Quantitative metrics derived from diffusion-weighted imaging …

Background Accurate grading of gliomas is a challenge in imaging diagnosis. This study
aimed to evaluate the performance of a machine learning (ML) approach based on …

Purpose: Glioma cell infiltration, in which the glioma tumor cells spread long distances from
the primary location using white matter (WM) or blood vessels, is known as a significant …

We propose a method for estimating the location of glioma recurrence after surgical
resection. This method consists of a pipeline including the registration of images at different …