Literature DB >> 18180223

Breast MR imaging artifacts: how to recognize and fix them.

Jennifer A Harvey1, R Edward Hendrick, Jennifer M Coll, Brandi T Nicholson, Brian T Burkholder, Michael A Cohen.   

Abstract

Patient and technical factors may lead to unwanted artifacts at breast magnetic resonance (MR) imaging. Use of a properly functioning high-field-strength MR imaging system, a dedicated bilateral breast coil, and an optimal imaging protocol provides a solid framework for performing high-quality breast MR imaging. Problems related to breast positioning, selection of imaging volume, and phase-encoding direction can be overcome by training and providing feedback to MR imaging technologists. Common artifacts seen at breast MR imaging include motion, suboptimal fat suppression, metallic susceptibility, phase wrap, radiofrequency noise, and chemical shift. Once they are recognized, many of these artifacts can be corrected. Protocol monitoring and imaging-based feedback from the interpreting radiologist are essential for minimizing artifacts and optimizing breast MR imaging. Copyright RSNA, 2007.

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Year:  2007        PMID: 18180223     DOI: 10.1148/rg.27si075514

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  17 in total

1.  Comparison of breast density measured on MR images acquired using fat-suppressed versus nonfat-suppressed sequences.

Authors:  Daniel H-E Chang; Jeon-Hor Chen; Muqing Lin; Shadfar Bahri; Hon J Yu; Rita S Mehta; Ke Nie; David J B Hsiang; Orhan Nalcioglu; Min-Ying Su
Journal:  Med Phys       Date:  2011-11       Impact factor: 4.071

Review 2.  Pearls and pitfalls in breast MRI.

Authors:  I Millet; E Pages; D Hoa; S Merigeaud; F Curros Doyon; X Prat; P Taourel
Journal:  Br J Radiol       Date:  2011-11-29       Impact factor: 3.039

3.  On shimming approaches in 3T breast MRI.

Authors:  Ileana Hancu; Ambey Govenkar; Robert E Lenkinski; Seung-Kyun Lee
Journal:  Magn Reson Med       Date:  2012-05-03       Impact factor: 4.668

4.  Comparative study of density analysis using automated whole breast ultrasound and MRI.

Authors:  Woo Kyung Moon; Yi-Wei Shen; Chiun-Sheng Huang; Sheng-Chy Luo; Aida Kuzucan; Jeon-Hor Chen; Ruey-Feng Chang
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

5.  Experimental and numerical analysis of B1(+) field and SAR with a new transmit array design for 7T breast MRI.

Authors:  Junghwan Kim; Narayan Krishnamurthy; Tales Santini; Yujuan Zhao; Tiejun Zhao; Kyongtae Ty Bae; Tamer S Ibrahim
Journal:  J Magn Reson       Date:  2016-04-23       Impact factor: 2.229

6.  Radiofrequency artefacts in echoplanar imaging induced by two 1.5 T MR scanners in close proximity.

Authors:  X Li; J Cui; S P Christopasak; A Kumar; Z-G Peng
Journal:  Br J Radiol       Date:  2014-04-09       Impact factor: 3.039

7.  Automated quality assessment in three-dimensional breast ultrasound images.

Authors:  Julia Schwaab; Yago Diez; Arnau Oliver; Robert Martí; Jan van Zelst; Albert Gubern-Mérida; Ahmed Bensouda Mourri; Johannes Gregori; Matthias Günther
Journal:  J Med Imaging (Bellingham)       Date:  2016-04-25

8.  CEST-Dixon for human breast lesion characterization at 3 T: A preliminary study.

Authors:  Shu Zhang; Stephen Seiler; Xinzeng Wang; Ananth J Madhuranthakam; Jochen Keupp; Emily E Knippa; Robert E Lenkinski; Elena Vinogradov
Journal:  Magn Reson Med       Date:  2018-01-10       Impact factor: 4.668

9.  Polymer film-nanoparticle composites as new multimodality, non-migrating breast biopsy markers.

Authors:  Jonah A Kaplan; Mark W Grinstaff; B Nicolas Bloch
Journal:  Eur Radiol       Date:  2015-06-10       Impact factor: 5.315

10.  Intravenous Line Phase-Wrap Artifact at Bilateral Axial 3-T Breast MRI: Identification, Analysis, and Solution.

Authors:  Einat Slonimsky; Yusef Azraq; John M Gomori; Susan Fisch; Tal Arazi Kleinman; Tamar Sella
Journal:  Radiol Imaging Cancer       Date:  2020-11-06
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