You might also read
Articles linked to this work by shared authors, journal, and citation graph.
Updated: May 23, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Xin Qian1, Andrew Tucker, Emily Gidcumb
1Department of Physics and Astronomy, University of North Carolina, Chapel Hill, NC 27599, USA. xqian@physics.unc.edu
This study introduces a stationary digital breast tomosynthesis (s-DBT) system using a carbon nanotube (CNT) x-ray source array. The new system significantly enhances spatial resolution and reduces scanning time for improved breast cancer detection.
Area of Science:
Background:
Purpose of the Study:
Main Methods:
Main Results:
Conclusions: