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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Related Experiment Video

Updated: May 31, 2025

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Enhancing Functional Breast Imaging: A sCMOS Camera-Based Lock-in Implementation for Dynamic Tomography.

Yujie Zheng1, Limin Zhang1, Weijie Song2

  • 1The College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, China.

Journal of Biophotonics
|January 24, 2025
PubMed
Summary

This study introduces a camera-based dynamic diffuse optical tomography (DOT) system for improved breast cancer screening. The novel approach enhances signal-to-noise ratio for more sensitive detection of oxy- and deoxy-hemoglobin.

Keywords:
camera‐based lock‐in detectiondiffuse optical tomographyearly‐stage diagnosis breast cancerorthogonal frequency division multiplexing technology

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Cancer Diagnostics

Background:

  • Diffuse optical tomography (DOT) quantifies tissue chromophores like oxy- and deoxy-hemoglobin (HbO and HbR).
  • Accurate quantification is crucial for detecting and predicting neoadjuvant breast cancer treatment response.
  • Existing DOT systems face limitations in channel count (fiber-dependent) and signal-to-noise ratio (camera-dependent).

Purpose of the Study:

  • To develop a camera-based dynamic DOT system with enhanced signal-to-noise ratio (SNR).
  • To overcome limitations of current fiber-dependent and camera-dependent DOT systems for breast cancer screening.
  • To enable sensitive and dynamic tomography for improved breast cancer detection.

Main Methods:

  • Implemented a camera-based lock-in detection scheme.
  • Utilized orthogonal frequency division multiplexing technology for dynamic DOT.
  • Evaluated system performance using tissue phantoms and neoplastic rat models.

Main Results:

  • The developed system achieves parallel measurement using a camera detector.
  • Demonstrated a significant improvement in signal-to-noise ratio (SNR) for dynamic DOT.
  • Showcased high sensitivity and dynamic imaging capabilities for breast screening.

Conclusions:

  • The camera-based dynamic DOT system offers a promising advancement for breast cancer screening.
  • The system provides highly sensitive and dynamic tomography, addressing limitations of previous DOT technologies.
  • This technology has the potential to improve early detection and treatment response assessment in breast cancer.