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Biomedical Imaging and Instrumentation

Biomedical Imaging and Instrumentation - Poster Session E

O22 - B-TRAC – Breast Tissue Rotation and Compression Apparatus for Calibration

Saturday, October 11, 2025
10:00 AM - 11:00 AM PDT
Location: Exhibit Hall F, G & H

Introduction: :

Introduction: Mammography and MRI capture breast anatomy under different conditions—compressed (2D)
and uncompressed (3D), respectively—complicating tumor localization across modalities. To bridge this gap, we
designed a physical system that simulates breast compression and allows for 3D modeling of internal tissue
deformation. The goal is to establish a reliable experimental foundation for developing a mathematical model
capable of transforming tumor coordinates between compressed mammography and uncompressed MRI using
patient-specific parameters.

Materials and

Methods: : Materials and

Methods: A custom breast compression platform was constructed with to parallel plates: a fixed transparent front plate and a movable matte-black rear plate. The black plate features an embedded deformation grid to enable visual tracking of surface displacement, and compression is applied through calibrated force increments to replicate the clinical range. The system features a rotatable phantom mounting mechanism, implemented through a twist-lock enclosure. The male component is embedded into the posterior of the phantom, while the female component is fixed to a vertical support plate orthogonal to the compression plates. This allows the phantom to be rotated to 0° (craniocaudal), 45° (mediolateral oblique), and 90° (orthogonal) orientations— mirroring clinical views and enabling 3D reconstruction. The phantom is cast in Ecoflex T™ silicone, selected for its tissue-mimicking elasticity while permitting internal visualization because of its transparency. 2 mm colored seed beads are embedded as internal tracers for optical tracking during future compression experiments using multi-angle video capture. The system accommodates changes in force, density, and geometry to reflect patient variability using mammography calibration data.

Results, Conclusions, and Discussions:: Results and

Discussion: The resulting platform meets all design objectives: it simulates clinical compression views, allows phantom rotation for multi-angle analysis, and enables precise internal tracking via optical access and embedded tracers. The device provides a reliable foundation for generating deformation data to train predictive models aligned with clinical imaging workflows.

Conclusion: We have developed a customizable, mechanically validated platform for simulating breast compression under clinically relevant conditions. Its design supports the future creation of a mathematical model to predict tissue displacement and enable tumor coordinate mapping between mammography and MRI. This work lays the groundwork for improving diagnostic accuracy and surgical planning in breast cancer care.

Acknowledgements and/or References (Optional): :