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Updated: Oct 19, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Bilateral Breast Gradient Insert Prototype for Strong Diffusion Encoding at 3 T
Gerrit Cornelis Arends1, Edwin Versteeg1, Feng Jia2
1Center for Image Sciences, University Medical Center Utrecht, Utrecht, the Netherlands.
Purpose:
Diffusion MRI has shown promise for breast cancer screening, lesion characterization, and treatment response monitoring without contrast agents, but further translation is constrained by the gradient performance of conventional systems. The aim of this work is to develop a single-axis high-performance bilateral plug-and-play breast gradient insert to enable strong-gradient diffusion MRI.
Methods:
An in-house breast gradient insert and bed-tabletop was constructed entirely from commercially available materials, providing a cost-effective solution compatible with existing MRI systems. Its wiring pattern was optimized for torque and force balancing, power dissipation, and target field performance. Evaluation included gradient field characterization, peripheral nerve stimulation simulation verification, and temperature and eddy current assessment. The setup was used for imaging of a diffusion phantom based on soy lecithin across a range of b values.
Results:
Gradient efficiency ranged from 0.61 to 2.8 mT/m/A, enabling diffusion MRI using local strengths up to 420 mT/m (150 A). No peripheral nerve stimulation was observed during tests on five healthy volunteers. Eddy currents were successfully characterized, revealing a linear first order component with an amplitude of 0.03% of the applied gradient field. Imaging experiments demonstrated the feasibility of acquiring b = 10 000 s/mm2 volumes with a TE of 78 ms, compared with 161 ms when using the scanner gradients (40 mT/m).
Conclusion:
This work demonstrates a dedicated bilateral breast gradient insert for safe and feasible strong-gradient breast diffusion MRI and represents a first step toward dedicated hardware for breast cancer detection and characterization without contrast agents.

