Literature DB >> 10958179

The measurement of diffusion and perfusion in biological systems using magnetic resonance imaging.

D L Thomas1, M F Lythgoe, G S Pell, F Calamante, R J Ordidge.   

Abstract

The aim of this review is to describe two recent developments in the use of magnetic resonance imaging (MRI) in the study of biological systems: diffusion and perfusion MRI. Diffusion MRI measures the molecular mobility of water in tissue, while perfusion MRI measures the rate at which blood is delivered to tissue. Therefore, both these techniques measure quantities which have direct physiological relevance. It is shown that diffusion in biological systems is a complex phenomenon, influenced directly by tissue microstructure, and that its measurement can provide a large amount of information about the organization of this structure in normal and diseased tissue. Perfusion reflects the delivery of essential nutrients to tissue, and so is directly related to its status. The concepts behind the techniques are explained, and the theoretical models that are used to convert MRI data to quantitative physical parameters are outlined. Examples of current applications of diffusion and perfusion MRI are given. In particular, the use of the techniques to study the pathophysiology of cerebral ischaemia/stroke is described. It is hoped that the biophysical insights provided by this approach will help to define the mechanisms of cell damage and allow evaluation of therapies aimed at reducing this damage.

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Year:  2000        PMID: 10958179     DOI: 10.1088/0031-9155/45/8/201

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  19 in total

Review 1.  Applications of imaging technology in radiation research.

Authors:  MingDe Lin; Edward F Jackson
Journal:  Radiat Res       Date:  2012-03-08       Impact factor: 2.841

2.  Mapping spatiotemporal diffusion inside the human brain using a numerical solution of the diffusion equation.

Authors:  Wang Zhan; Li Jiang; Murray H Loew; Yihong Yang
Journal:  Magn Reson Imaging       Date:  2008-04-28       Impact factor: 2.546

3.  MRI of cerebral micro-vascular flow patterns: A multi-direction diffusion-weighted ASL approach.

Authors:  J A Wells; D L Thomas; T Saga; J Kershaw; I Aoki
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

Review 4.  Methodological considerations in rat brain BOLD contrast pharmacological MRI.

Authors:  C A Steward; C A Marsden; M J W Prior; P G Morris; Y B Shah
Journal:  Psychopharmacology (Berl)       Date:  2005-09-14       Impact factor: 4.530

5.  Aphasia severity: Association with cerebral perfusion and diffusion.

Authors:  Julius Fridriksson; Audrey L Holland; Bruce M Coull; Elena Plante; Theodore P Trouard; Pelagie Beeson
Journal:  Aphasiology       Date:  2002-09-01       Impact factor: 2.773

6.  Chronic brain tissue remodeling after stroke in rat: a 1-year multiparametric magnetic resonance imaging study.

Authors:  Kishor Karki; Robert A Knight; Li Hong Shen; Alissa Kapke; Mei Lu; Yi Li; Michael Chopp
Journal:  Brain Res       Date:  2010-09-07       Impact factor: 3.252

7.  Serial diffusion MRI to monitor and model treatment response of the targeted nanotherapy CRLX101.

Authors:  Thomas S C Ng; David Wert; Hargun Sohi; Daniel Procissi; David Colcher; Andrew A Raubitschek; Russell E Jacobs
Journal:  Clin Cancer Res       Date:  2013-03-26       Impact factor: 12.531

8.  Neuronal and glial cell populations in the piriform cortex distinguished by using an approximation of q-space imaging after status epilepticus.

Authors:  Shawnee Eidt; Edward J Kendall; André Obenaus
Journal:  AJNR Am J Neuroradiol       Date:  2004-08       Impact factor: 3.825

9.  Protective effect of post-ischaemic viral delivery of heat shock proteins in vivo.

Authors:  Romina A Badin; Michael Modo; Mike Cheetham; David L Thomas; David G Gadian; David S Latchman; Mark F Lythgoe
Journal:  J Cereb Blood Flow Metab       Date:  2008-09-10       Impact factor: 6.200

10.  Magnetic Resonance Imaging Parameters and Their Impact on Survival of Patients with Glioblastoma: Tumor Perfusion Predicts Survival.

Authors:  Bob L Hou; Sijin Wen; Gennadiy A Katsevman; Hui Liu; Ogaga Urhie; Ryan C Turner; Jeffrey Carpenter; Sanjay Bhatia
Journal:  World Neurosurg       Date:  2018-12-27       Impact factor: 2.104

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