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

doi:10.1002/mrm.25757

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

Weizmann Institute of Science

Research output: Contribution to journal › Article › peer-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 H-1 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 language	English
Pages (from-to)	2064-2071
Number of pages	8
Journal	Magnetic Resonance in Medicine
Volume	75
Issue number	5
DOIs	https://doi.org/10.1002/mrm.25757
State	Published - 1 May 2016

Keywords

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

All Science Journal Classification (ASJC) codes

Radiology Nuclear Medicine and imaging

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10.1002/mrm.25757

http://europepmc.org/articles/pmc5056022License: Unspecified

Cite this

@article{a0c4437659a248f0a2ee2b361fe561ae,

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 H-1 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",

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year = "2016",

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doi = "10.1002/mrm.25757",

language = "الإنجليزيّة",

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T1 - Removing silicone artifacts in diffusion-weighted breast MRI by means of shift-resolved spatiotemporally encoding

AU - Solomon, Eddy

AU - Nissan, Noam

AU - Schmidt, Rita

AU - Furman-Haran, Edna

AU - Ben-Aharon, Uriel

AU - Frydman, Lucio

PY - 2016/5/1

Y1 - 2016/5/1

N2 - 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 H-1 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.

AB - 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 H-1 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.

KW - breast MRI

KW - diffusion-weighted imaging - DWI

KW - silicone implants

KW - spatiotemporal encoding - SPEN

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U2 - 10.1002/mrm.25757

DO - 10.1002/mrm.25757

M3 - مقالة

C2 - 26096754

SN - 0740-3194

VL - 75

SP - 2064

EP - 2071

JO - Magnetic Resonance in Medicine

JF - Magnetic Resonance in Medicine

IS - 5

ER -

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

Abstract

Keywords

All Science Journal Classification (ASJC) codes

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