@article{41c04538a32c422e97d1be601bc2f62e,
title = "Removing silicone artifacts in diffusion-weighted breast MRI by means of shift-resolved spatiotemporally encoding",
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.",
keywords = "breast MRI, diffusion-weighted imaging - DWI, silicone implants, spatiotemporal encoding - SPEN",
author = "Eddy Solomon and Noam Nissan and Rita Schmidt and Edna Furman-Haran and Uriel Ben-Aharon and Lucio Frydman",
note = "Publisher Copyright: {\textcopyright} 2015 Wiley Periodicals, Inc.",
year = "2016",
month = may,
day = "1",
doi = "10.1002/mrm.25757",
language = "אנגלית",
volume = "75",
pages = "2064--2071",
journal = "Magnetic Resonance in Medicine",
issn = "0740-3194",
publisher = "John Wiley and Sons Inc.",
number = "5",
}