Literature DB >> 21613877

Multiparametric magnetic resonance imaging of brain disorders.

Ona Wu1, Rick M Dijkhuizen, Alma Gregory Sorensen.   

Abstract

Magnetic resonance imaging (MRI) has been shown to improve the diagnosis and management of patients with brain disorders. Multiparametric MRI offers the possibility of noninvasively assessing multiple facets of pathophysiological processes that exist simultaneously, thereby further assisting in patient treatment management. Voxel-based analysis approaches, such as tissue theme mapping, have the benefit over volumetric approaches in being able to identify spatially heterogeneous colocalized changes on multiple parametric MR images that are not readily discernible. Tissue theme maps seem to be a promising tool for integrating the plethora of novel imaging contrasts that are being developed for the noninvasive investigation of the different stages of disease progression into easily interpretable maps of brain injury. We describe here various implementations for combining multiparametric imaging and their merits in the evaluation of brain diseases.

Entities:  

Mesh:

Year:  2010        PMID: 21613877      PMCID: PMC3319343          DOI: 10.1097/RMR.0b013e31821e56c2

Source DB:  PubMed          Journal:  Top Magn Reson Imaging        ISSN: 0899-3459


  61 in total

1.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

2.  Optimizing an individual's treatment in acute stroke: is a magnetic resonance map leading us towards the holy grail?

Authors:  Steven R Levine
Journal:  J Neurol Sci       Date:  2004-10-15       Impact factor: 3.181

3.  A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms.

Authors:  J C Bezdek
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1980-01       Impact factor: 6.226

4.  Perfusion magnetic resonance imaging maps in hyperacute stroke: relative cerebral blood flow most accurately identifies tissue destined to infarct.

Authors:  M W Parsons; Q Yang; P A Barber; D G Darby; P M Desmond; R P Gerraty; B M Tress; S M Davis
Journal:  Stroke       Date:  2001-07       Impact factor: 7.914

5.  Tissue at risk is overestimated in perfusion-weighted imaging: MR imaging in acute stroke patients without vessel recanalization.

Authors:  Thomas Kucinski; Dirk Naumann; René Knab; Volker Schoder; Susanne Wegener; Jens Fiehler; Amitava Majumder; Joachim Röther; Hermann Zeumer
Journal:  AJNR Am J Neuroradiol       Date:  2005-04       Impact factor: 3.825

6.  Diffusion and perfusion MR imaging in cases of Alzheimer's disease: correlations with cortical atrophy and lesion load.

Authors:  A Bozzao; R Floris; M E Baviera; A Apruzzese; G Simonetti
Journal:  AJNR Am J Neuroradiol       Date:  2001 Jun-Jul       Impact factor: 3.825

7.  Variability of cerebral blood volume and oxygen extraction: stages of cerebral haemodynamic impairment revisited.

Authors:  Colin P Derdeyn; Tom O Videen; Kent D Yundt; Susanne M Fritsch; David A Carpenter; Robert L Grubb; William J Powers
Journal:  Brain       Date:  2002-03       Impact factor: 13.501

8.  Acute stroke imaging research roadmap.

Authors:  Max Wintermark; Gregory W Albers; Andrei V Alexandrov; Jeffry R Alger; Roland Bammer; Jean-Claude Baron; Stephen Davis; Bart M Demaerschalk; Colin P Derdeyn; Geoffrey A Donnan; James D Eastwood; Jochen B Fiebach; Marc Fisher; Karen L Furie; Gregory V Goldmakher; Werner Hacke; Chelsea S Kidwell; Stephan P Kloska; Martin Köhrmann; Walter Koroshetz; Ting-Yim Lee; Kennedy R Lees; Michael H Lev; David S Liebeskind; Leif Ostergaard; William J Powers; James Provenzale; Peter Schellinger; Robert Silbergleit; Alma Gregory Sorensen; Joanna Wardlaw; Ona Wu; Steven Warach
Journal:  Stroke       Date:  2008-04-10       Impact factor: 7.914

9.  Heterogeneity of stroke pathophysiology and neuroprotective clinical trial design.

Authors:  Keith W Muir
Journal:  Stroke       Date:  2002-06       Impact factor: 7.914

10.  MRI tissue characterization of experimental cerebral ischemia in rat.

Authors:  Hamid Soltanian-Zadeh; Mamatha Pasnoor; Rabih Hammoud; Michael A Jacobs; Suresh C Patel; Panayiotis D Mitsias; Robert A Knight; Zhang G Zheng; Mei Lu; Michael Chopp
Journal:  J Magn Reson Imaging       Date:  2003-04       Impact factor: 4.813

View more
  4 in total

1.  Prediction of hemorrhagic transformation after experimental ischemic stroke using MRI-based algorithms.

Authors:  Mark Jrj Bouts; Ivo Acw Tiebosch; Umesh S Rudrapatna; Annette van der Toorn; Ona Wu; Rick M Dijkhuizen
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

2.  Early identification of potentially salvageable tissue with MRI-based predictive algorithms after experimental ischemic stroke.

Authors:  Mark J R J Bouts; Ivo A C W Tiebosch; Annette van der Toorn; Max A Viergever; Ona Wu; Rick M Dijkhuizen
Journal:  J Cereb Blood Flow Metab       Date:  2013-04-10       Impact factor: 6.200

3.  Ex vivo tissue imaging for radiology-pathology correlation: a pilot study with a small bore 7-T MRI in a rare pigmented ganglioglioma exhibiting complex MR signal characteristics associated with melanin and hemosiderin.

Authors:  Kant M Matsuda; Ana Lopes-Calcas; Michael L Honke; Zoe O'Brien-Moran; Richard Buist; Michael West; Melanie Martin
Journal:  J Med Imaging (Bellingham)       Date:  2017-09-13

4.  Brain stimulation for arm recovery after stroke (B-STARS): protocol for a randomised controlled trial in subacute stroke patients.

Authors:  Eline C C van Lieshout; Johanna M A Visser-Meily; Sebastiaan F W Neggers; H Bart van der Worp; Rick M Dijkhuizen
Journal:  BMJ Open       Date:  2017-08-28       Impact factor: 2.692

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.