Literature DB >> 17896388

Neuro MR: protocols.

David J Mikulis1, Timothy P L Roberts.   

Abstract

Clinical MRI depends on a symbiosis between MR physics and clinical requirements. The imaging solutions are based on a balance between the "palette" of available image contrasts derived from nuclear spin physics and tissue biophysics, and clinical determinants such as the anticipated pathology and efficient use of imaging time. Imaging is therefore optimized to maximize diagnostic sensitivity and specificity through the development of protocols organized along the lines of major disease categories. In the other part of this two-part review, the primary determinants of image contrast, including T1, T2, and T2*, were highlighted. The development of pulse sequences designed to optimize each of these image contrasts was discussed and the impact of technological innovation (parallel imaging and high-field systems) on the manner in which these sequences could be modified to improve clinical efficacy was further emphasized. The scope of that discussion was broadened to include the application of: 1) water diffusion imaging used primarily for detection of pathologies that restrict the free movement of water in the tissues and for defining fiber tracts in the brain; 2) the intravenous administration of exogenous contrast agents (gadolinium-diethylene triamine pentaacetic acid [GdDTPA]) for assessment of blood-brain-barrier (BBB) defects and brain blood flow; and 3) MR spectroscopy (MRS) for assessment of brain metabolites. The goal of this part is to discuss how these acquisitions are combined into specific protocols that can effectively detect and characterize, or in keeping with our artistic analogy, "paint" each of the major diseases affecting the central nervous system (CNS). This work concludes with a discussion of image artifacts and pitfalls in image interpretation, which, in spite our best efforts to minimize or eliminate them, continue to occur. Much of the ensuing discussion is based on our own institutional experience. Protocols, therefore, do not necessarily match those from other institutions due to variability in clinical emphasis, MR instruments, and available software. An attempt was made to focus on basic clinical sequences that are available on most modern MR systems, with protocols employing generally accepted clinical imaging philosophies. (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17896388     DOI: 10.1002/jmri.21041

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  9 in total

Review 1.  Texture analysis: a review of neurologic MR imaging applications.

Authors:  A Kassner; R E Thornhill
Journal:  AJNR Am J Neuroradiol       Date:  2010-04-15       Impact factor: 3.825

Review 2.  Advances in magnetic resonance neuroimaging.

Authors:  Michael E Moseley; Chunlei Liu; Sandra Rodriguez; Thomas Brosnan
Journal:  Neurol Clin       Date:  2009-02       Impact factor: 3.806

3.  Cyclooxygenase-1 and -2 differentially modulate lipopolysaccharide-induced blood-brain barrier disruption through matrix metalloproteinase activity.

Authors:  Saba Aid; Afonso C Silva; Eduardo Candelario-Jalil; Sang-Ho Choi; Gary A Rosenberg; Francesca Bosetti
Journal:  J Cereb Blood Flow Metab       Date:  2009-10-21       Impact factor: 6.200

4.  Influence of water based embedding media composition on the relaxation properties of fixed tissue.

Authors:  Ivan Vučković; Tarek Nayfeh; Prasanna K Mishra; Sigapriya Periyanan; Caroline R Sussman; Timothy L Kline; Slobodan Macura
Journal:  Magn Reson Imaging       Date:  2019-12-07       Impact factor: 2.546

5.  Multicenter, double-blind, randomized, intra-individual crossover comparison of gadobenate dimeglumine and gadopentetate dimeglumine in MRI of brain tumors at 3 tesla.

Authors:  Zoran Rumboldt; Howard A Rowley; Fred Steinberg; Joseph A Maldjian; Jordi Ruscalleda; Lars Gustafsson; Stefano Bastianello
Journal:  J Magn Reson Imaging       Date:  2009-04       Impact factor: 4.813

6.  Pancreatic magnetic resonance imaging after manganese injection distinguishes type 2 diabetic and normoglycemic patients.

Authors:  Diomidis Botsikas; Sylvain Terraz; Laurent Vinet; Smaragda Lamprianou; Christoph D Becker; Domenico Bosco; Paolo Meda; Xavier Montet
Journal:  Islets       Date:  2012-05-01       Impact factor: 2.694

7.  Classifying the Acquisition Sequence for Brain MRIs Using Neural Networks on Single Slices.

Authors:  Norbert Braeker; Cornelia Schmitz; Natalie Wagner; Badrudin J Stanicki; Christina Schröder; Felix Ehret; Christoph Fürweger; Daniel R Zwahlen; Robert Förster; Alexander Muacevic; Paul Windisch
Journal:  Cureus       Date:  2022-02-21

8.  Computational morphometry for detecting changes in brain structure due to development, aging, learning, disease and evolution.

Authors:  Daniel Mietchen; Christian Gaser
Journal:  Front Neuroinform       Date:  2009-08-11       Impact factor: 4.081

9.  MRI study on reversible and irreversible electroporation induced blood brain barrier disruption.

Authors:  Mohammad Hjouj; David Last; David Guez; Dianne Daniels; Shirley Sharabi; Jacob Lavee; Boris Rubinsky; Yael Mardor
Journal:  PLoS One       Date:  2012-08-10       Impact factor: 3.240

  9 in total

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