Removing silicone artifacts in diffusion-weighted breast MRI by means of shift-resolved spatiotemporally encoding

Eddy Solomon, Noam Nissan, Rita Schmidt, Edna Furman-Haran, Uriel Ben-Aharon, Lucio Frydman*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose Evaluate the usefulness of diffusion-weighted spatiotemporally encoded (SPEN) methods to obtain apparent diffusion coefficient (ADC) maps of fibroglandular human breast tissue, in the presence of silicone implants. Methods Seven healthy volunteers with breast augmentation were scanned at 3 Tesla (T) using customized SPEN sequences yielding separate silicone and water 1H images in one scan, together with their corresponding diffusion-weightings. Results SPEN's ability to deliver multiple spectrally resolved images in a single scan, coupled to the method's substantial robustness to magnetic field heterogeneities, served to acquire ADC maps that could be freed from contributions that did not belong to fibroglandular tissue. Conclusion SPEN-based sequences incorporating spectral discrimination and diffusion-weighting enable the acquisition of reliable ADC maps despite the presence of dominant signals from silicone implants, thereby opening new screening possibilities for the identification of malignancies in breast augmented patients.

Original languageEnglish
Pages (from-to)2064-2071
Number of pages8
JournalMagnetic Resonance in Medicine
Volume75
Issue number5
DOIs
StatePublished - 1 May 2016
Externally publishedYes

Keywords

  • breast MRI
  • diffusion-weighted imaging - DWI
  • silicone implants
  • spatiotemporal encoding - SPEN

Fingerprint

Dive into the research topics of 'Removing silicone artifacts in diffusion-weighted breast MRI by means of shift-resolved spatiotemporally encoding'. Together they form a unique fingerprint.

Cite this