Literature DB >> 18835643

Brain and spine MRI artifacts at 3Tesla.

M I Vargas1, J Delavelle, R Kohler, C D Becker, K Lovblad.   

Abstract

INTRODUCTION: We illustrate here the most common MRI artifacts found on routine 3T clinical neuroradiology that can simulate pathology and interfere with diagnosis.
MATERIALS AND METHODS: Our group has worked with a 3-T Magnetom Trio (Siemens, Erlangen, Germany) system for two years, with 50% of our time devoted to clinical work and 50% dedicated to research; 65% of the clinical time is dedicated to neuroradiology (2705 patients) and the remaining time to whole-body MRI. We have detected these artifacts during our case readings and have selected the most representative of each type to illustrate here.
RESULTS: We have observed magnetic susceptibility artifacts (29%), pulsation artifacts (57%), homogeneity artifacts (3%), motion artifacts (6%), truncation artifacts (3%) and, finally, artifacts due to poor or inadequate technique in the examined region.
CONCLUSION: High-field imaging offers the benefit of a higher signal-to-noise ratio, thus making possible the options of a higher imaging matrix, thinner slices, the use of spectroscopy and diffusion tensor imaging in the routine clinical neuroradiology with a reduction in time spent. It is vital to be able to recognize these artifacts in everyday practice as they can mimic pathological appearances, thus causing diagnostic errors that could lead to unnecessary treatment. Indeed, most of these artifacts could be avoided with an adequate technique.

Entities:  

Mesh:

Year:  2008        PMID: 18835643     DOI: 10.1016/j.neurad.2008.08.001

Source DB:  PubMed          Journal:  J Neuroradiol        ISSN: 0150-9861            Impact factor:   3.447


  21 in total

1.  Histologically confirmed hippocampal structural features revealed by 3T MR imaging: potential to increase diagnostic specificity of mesial temporal sclerosis.

Authors:  K L Howe; D Dimitri; C Heyn; T-R Kiehl; D Mikulis; T Valiante
Journal:  AJNR Am J Neuroradiol       Date:  2010-06-10       Impact factor: 3.825

2.  Dynamic MR angiography (MRA) of spinal vascular diseases at 3T.

Authors:  Maria Isabel Vargas; Duy Nguyen; Magalie Viallon; Zolt Kulcsár; Enrico Tessitore; Benedict Rilliet; Daniel Rufenacht; Karl Lovblad
Journal:  Eur Radiol       Date:  2010-05-16       Impact factor: 5.315

3.  Diagnostic neuroradiology for the interventional neuroradiologist.

Authors:  Vitor Mendes Pereira; Maria Isabel Vargas; Ana Marcos; Philippe Bijlenga; Ana Paula Narata; Sven Haller; Karl-Olof Lövblad
Journal:  World J Radiol       Date:  2013-11-28

4.  MRI quality control for the Italian Neuroimaging Network Initiative: moving towards big data in multiple sclerosis.

Authors:  Loredana Storelli; Maria A Rocca; Patrizia Pantano; Elisabetta Pagani; Nicola De Stefano; Gioacchino Tedeschi; Paola Zaratin; Massimo Filippi
Journal:  J Neurol       Date:  2019-08-17       Impact factor: 4.849

5.  3D T2-SPACE versus T2-FSE or T2 Gradient Recalled-Echo: Which Is the Best Sequence?

Authors:  M I Vargas; J L Dietemann
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-27       Impact factor: 3.825

6.  Approaches for the optimization of MR protocols in clinical hybrid PET/MRI studies.

Authors:  Maria-Isabel Vargas; Minerva Becker; Valentina Garibotto; Susanne Heinzer; Pierre Loubeyre; Joanna Gariani; Karl Lovblad; Jean-Paul Vallée; Osman Ratib
Journal:  MAGMA       Date:  2012-09-25       Impact factor: 2.310

7.  Training a neural network for Gibbs and noise removal in diffusion MRI.

Authors:  Matthew J Muckley; Benjamin Ades-Aron; Antonios Papaioannou; Gregory Lemberskiy; Eddy Solomon; Yvonne W Lui; Daniel K Sodickson; Els Fieremans; Dmitry S Novikov; Florian Knoll
Journal:  Magn Reson Med       Date:  2020-07-14       Impact factor: 4.668

8.  Improved Cervical Cord Lesion Detection with 3D-MP2RAGE Sequence in Patients with Multiple Sclerosis.

Authors:  S Demortière; P Lehmann; J Pelletier; B Audoin; V Callot
Journal:  AJNR Am J Neuroradiol       Date:  2020-05-21       Impact factor: 3.825

9.  Self-calibrated correlation imaging with k-space variant correlation functions.

Authors:  Yu Li; Masoud Edalati; Xingfu Du; Hui Wang; Jie J Cao
Journal:  Magn Reson Med       Date:  2017-07-07       Impact factor: 4.668

Review 10.  Imaging Markers for Monitoring Disease Activity in Multiple Sclerosis.

Authors:  Suradech Suthiphosuwan; David Kim; Aditya Bharatha; Jiwon Oh
Journal:  Curr Treat Options Neurol       Date:  2017-05       Impact factor: 3.598

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