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Published on: December 15, 2014
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Simultaneous multi-slice readout-segmented echo planar imaging for accelerated diffusion-weighted imaging of the
Lukas Filli1, Soleen Ghafoor1, David Kenkel1
1Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland.
European Journal of Radiology
|November 9, 2015
Summary
Simultaneous multi-slice (SMS) accelerated readout-segmented echo planar imaging (rs-EPI) significantly reduces breast MRI scan times without compromising image quality or apparent diffusion coefficient values.
Area of Science:
- Radiology
- Medical Imaging
- Diffusion-Weighted Imaging
Background:
- Readout-segmented echo planar imaging (rs-EPI) reduces artifacts in breast diffusion-weighted imaging (DWI).
- However, rs-EPI is limited by prolonged acquisition times, hindering clinical utility.
- Simultaneous multi-slice (SMS) acquisition offers potential acceleration for rs-EPI.
Purpose of the Study:
- To evaluate the efficacy of SMS acquisition for accelerating rs-EPI in breast DWI.
- To assess the impact of SMS acceleration on scan time, apparent diffusion coefficient (ADC) values, and signal-to-noise ratio (SNR).
Main Methods:
- Eight healthy female volunteers underwent 3T breast MRI.
- Conventional and SMS-accelerated (2x and 3x) rs-EPI sequences were acquired at b-values of 50 and 800 s/mm(2).
- ADC values and SNR were analyzed and compared across sequences.
Main Results:
- Acquisition times were significantly reduced with SMS acceleration (1:44 min for 3x SMS vs. 4:21 min for conventional).
- No significant differences in ADC values (p=0.99) or SNR (p=0.83) were observed between conventional and SMS rs-EPI.
- Mean ADC values were consistently around 1.62 × 10(-3)mm(2)/s, with SNR ranging from 27.7-29.6.
Conclusions:
- SMS-accelerated rs-EPI maintains diagnostic image quality comparable to conventional rs-EPI.
- This acceleration technique markedly reduces scan time, enhancing the clinical applicability of rs-EPI for breast DWI.
- SMS rs-EPI represents a promising advancement for efficient and artifact-reduced breast MRI.

