Fundamentals of quantitative dynamic contrast-enhanced MR imaging
MJ Paldino, DP Barboriak - Magnetic resonance imaging clinics of North …, 2009 - Elsevier
Quantitative analysis of dynamic contrast-enhanced MR imaging (DCE-MR imaging) has the
power to provide information regarding physiologic characteristics of the microvasculature …
power to provide information regarding physiologic characteristics of the microvasculature …
Advanced MRI of adult brain tumors
GS Young - Neurologic clinics, 2007 - Elsevier
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 …
techniques of advanced MRI of brain tumor: diffusion-weighted imaging, perfusion-weighted …
The functional diffusion map: an imaging biomarker for the early prediction of cancer treatment outcome
BA Moffat, TL Chenevert, CR Meyer, PE Mckeever… - Neoplasia, 2006 - Elsevier
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 …
biomarker of clinical brain tumor treatment outcome. This MRI approach spatially maps and …
A macroscopic view of microstructure: using diffusion-weighted images to infer damage, repair, and plasticity of white matter
L Concha - Neuroscience, 2014 - Elsevier
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 …
(MRI) has played a crucial role in the non-invasive evaluation of tissue microstructure of …
Evaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapy
S Saraswathy, FW Crawford, KR Lamborn… - Journal of neuro …, 2009 - Springer
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 …
brain tumor in adults. The goal of this study was to test the predictive value of MR …
[HTML][HTML] Imaging brain tumour microstructure
M Nilsson, E Englund, F Szczepankiewicz… - Neuroimage, 2018 - Elsevier
Imaging is an indispensable tool for brain tumour diagnosis, surgical planning, and follow-
up. Definite diagnosis, however, often demands histopathological analysis of microscopic …
up. Definite diagnosis, however, often demands histopathological analysis of microscopic …
Imaging techniques to evaluate the response to treatment in oncology: current standards and perspectives
CD Marcus, V Ladam-Marcus, C Cucu… - Critical reviews in …, 2009 - Elsevier
Response evaluation in solid tumours currently uses radiological imaging techniques to
measure changes under treatment. Imaging requires a well-defined anatomical lesion to be …
measure changes under treatment. Imaging requires a well-defined anatomical lesion to be …
Differentiation of Low- and High-Grade Pediatric Brain Tumors with High b-Value Diffusion-weighted MR Imaging and a Fractional Order Calculus Model
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 …
calculus (FROC) diffusion model can be used to improve the accuracy of MR imaging for …
Optimal experimental design for filter exchange imaging: Apparent exchange rate measurements in the healthy brain and in intracranial tumors
B Lampinen, F Szczepankiewicz… - Magnetic resonance …, 2017 - Wiley Online Library
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 …
exchange, which depends, eg, on the cell membrane permeability. The aim was to optimize …
Treatment response and prognosis evaluation in high‐grade glioma: an imaging review based on MRI
Q Zhou, C Xue, X Ke, J Zhou - Journal of Magnetic Resonance …, 2022 - Wiley Online Library
In recent years, the development of advanced magnetic resonance imaging (MRI)
technology and machine learning (ML) have created new tools for evaluating treatment …
technology and machine learning (ML) have created new tools for evaluating treatment …