Literature DB >> 16307900

Intensity non-uniformity correction in MRI: existing methods and their validation.

Boubakeur Belaroussi1, Julien Milles, Sabin Carme, Yue Min Zhu, Hugues Benoit-Cattin.   

Abstract

Magnetic resonance imaging is a popular and powerful non-invasive imaging technique. Automated analysis has become mandatory to efficiently cope with the large amount of data generated using this modality. However, several artifacts, such as intensity non-uniformity, can degrade the quality of acquired data. Intensity non-uniformity consists in anatomically irrelevant intensity variation throughout data. It can be induced by the choice of the radio-frequency coil, the acquisition pulse sequence and by the nature and geometry of the sample itself. Numerous methods have been proposed to correct this artifact. In this paper, we propose an overview of existing methods. We first sort them according to their location in the acquisition/processing pipeline. Sorting is then refined based on the assumptions those methods rely on. Next, we present the validation protocols used to evaluate these different correction schemes both from a qualitative and a quantitative point of view. Finally, availability and usability of the presented methods is discussed.

Mesh:

Year:  2005        PMID: 16307900     DOI: 10.1016/j.media.2005.09.004

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  44 in total

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3.  Intensity non-uniformity correction using N3 on 3-T scanners with multichannel phased array coils.

Authors:  Richard G Boyes; Jeff L Gunter; Chris Frost; Andrew L Janke; Thomas Yeatman; Derek L G Hill; Matt A Bernstein; Paul M Thompson; Michael W Weiner; Norbert Schuff; Gene E Alexander; Ronald J Killiany; Charles DeCarli; Clifford R Jack; Nick C Fox
Journal:  Neuroimage       Date:  2007-10-30       Impact factor: 6.556

4.  Restoration of MRI data for intensity non-uniformities using local high order intensity statistics.

Authors:  Stathis Hadjidemetriou; Colin Studholme; Susanne Mueller; Michael Weiner; Norbert Schuff
Journal:  Med Image Anal       Date:  2008-06-07       Impact factor: 8.545

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Journal:  Magn Reson Med       Date:  2008-09       Impact factor: 4.668

Review 6.  Baby brain atlases.

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Journal:  Neuroimage       Date:  2018-04-03       Impact factor: 6.556

7.  Tissue Border Enhancement by inversion recovery MRI at 7.0 Tesla.

Authors:  Mauro Costagli; Douglas A C Kelley; Mark R Symms; Laura Biagi; Riccardo Stara; Eleonora Maggioni; Gianluigi Tiberi; Carmen Barba; Renzo Guerrini; Mirco Cosottini; Michela Tosetti
Journal:  Neuroradiology       Date:  2014-04-25       Impact factor: 2.804

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Authors:  Mu He; S Sivaram Kaushik; Scott H Robertson; Matthew S Freeman; Rohan S Virgincar; H Page McAdams; Bastiaan Driehuys
Journal:  Acad Radiol       Date:  2014-09-26       Impact factor: 3.173

9.  A comparison of five standard methods for evaluating image intensity uniformity in partially parallel imaging MRI.

Authors:  Frank L Goerner; Timothy Duong; R Jason Stafford; Geoffrey D Clarke
Journal:  Med Phys       Date:  2013-08       Impact factor: 4.071

10.  T1 weighted brain images at 7 Tesla unbiased for Proton Density, T2* contrast and RF coil receive B1 sensitivity with simultaneous vessel visualization.

Authors:  Pierre-François Van de Moortele; Edwards J Auerbach; Cheryl Olman; Essa Yacoub; Kâmil Uğurbil; Steen Moeller
Journal:  Neuroimage       Date:  2009-02-20       Impact factor: 6.556

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