| Title | Removing silicone artifacts in diffusion-weighted breast MRI by means of shift-resolved spatiotemporally encoding. |
| Publication Type | Journal Article |
| Year of Publication | 2016 |
| Authors | Solomon E, Nissan N, Schmidt R, Furman-Haran E, Ben-Aharon U, Frydman L |
| Journal | Magn Reson Med |
| Volume | 75 |
| Issue | 5 |
| Pagination | 2064-2071 |
| Date Published | 2016 May |
| ISSN | 1522-2594 |
| Keywords | Adult, Artifacts, Breast, Breast Implants, Diffusion Magnetic Resonance Imaging, Female, Healthy Volunteers, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Fields, Middle Aged, Models, Statistical, Phantoms, Imaging, Prostheses and Implants, Silicones, Water |
| 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 (1) H 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. |
| DOI | 10.1002/mrm.25757 |
| Alternate Journal | Magn Reson Med |
| PubMed ID | 26096754 |
| PubMed Central ID | PMC5056022 |
| Grant List | 246754 / ERC_ / European Research Council / International 633888 / ERC_ / European Research Council / International |
Related Institute:
MRI Research Institute (MRIRI)