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Related Concept Videos

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Related Experiment Video

Updated: Apr 29, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
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Optical tomographic imaging for breast cancer detection.

Wenxiang Cong1, Xavier Intes1, Ge Wang1

  • 1Rensselaer Polytechnic Institute, Biomedical Imaging Center, Department of Biomedical Engineering, T, United States.

Journal of Biomedical Optics
|September 22, 2017
PubMed
Summary

Diffuse optical tomography (DOT) offers a radiation-free method for breast cancer detection. A novel reconstruction technique improves accuracy by localizing abnormalities and quantifying optical properties, enhancing diagnostic stability and robustness against noise.

Keywords:
breast imagingcompressive sensingdifferential evolutiondiffuse optical tomographyimage reconstruction

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Cancer Diagnostics

Background:

  • Diffuse optical breast imaging uses near-infrared (NIR) light to detect abnormal tissues based on optical properties.
  • This method is sensitive, cost-effective, and avoids ionizing radiation.
  • Diffuse optical tomography (DOT) image reconstruction is ill-posed due to noise, scattering, and incomplete measurements.

Purpose of the Study:

  • To propose a novel image reconstruction method for improved breast cancer detection using DOT.
  • To address the ill-posed nature of DOT reconstruction for enhanced accuracy and stability.

Main Methods:

  • The proposed method decomposes DOT reconstruction into two stages: localization of abnormal tissues and quantification of absorption variations.
  • Abnormal tissue localization is achieved using a well-posed optimization model solved by differential evolution.
  • Absorption quantification is performed in localized regions, reducing the number of variables to overcome the underdetermined problem.

Main Results:

  • Numerical simulations demonstrate the proposed method's stability and accuracy in identifying abnormal breast tissues.
  • The reconstruction method shows robustness against measurement noise.
  • The approach effectively overcomes the underdetermined nature of DOT.

Conclusions:

  • The proposed two-stage image reconstruction method significantly improves the stability and accuracy of diffuse optical tomography for breast cancer detection.
  • This technique offers a robust and reliable approach for identifying abnormal tissues, even in the presence of measurement noise.