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Updated: May 11, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data
Stefano Young1, Predrag R Bakic, Kyle J Myers
1College of Optical Sciences, University of Arizona, Tucson, Arizona 85721, USA.
A new virtual trial framework helps optimize digital breast tomosynthesis (DBT) systems by evaluating image quality. The study shows how scan angle and projection number affect cancer detection, aiding future DBT design.
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2026-06-19T13:43:46.575946+00:00
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