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Tactile-Sensation Imaging System for Assessing Material Inclusions in Breast Tumor Detection.

Tahsin Nairuz1, Jong-Ha Lee1

  • 1Department of Biomedical Engineering, Keimyung University, Daegu 42601, Republic of Korea.

Biosensors
|February 26, 2026
PubMed
Summary

A new Tactile-Sensation Imaging System (TSIS) uses optical waveguides to detect and characterize breast tumors. This noninvasive technology accurately quantifies tumor size, depth, and stiffness, improving breast cancer detection.

Keywords:
Young’s modulusbreast tumorinclusion analysispolydimethylsiloxane optical waveguidetactile-sensation imaging system

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Materials Science

Background:

  • Accurate breast tumor detection and characterization are crucial for effective treatment.
  • Current methods may lack the sensitivity or specificity needed for early-stage diagnosis.
  • A need exists for noninvasive, quantitative tools to assess subcutaneous lesions.

Purpose of the Study:

  • To introduce and evaluate an innovative Tactile-Sensation Imaging System (TSIS) for detecting and characterizing subcutaneous inclusions simulating breast tumors.
  • To assess the system's capability in estimating inclusion size, depth, and mechanical properties.
  • To validate the system's performance using analytical modeling, simulations, and experimental evaluations.

Main Methods:

  • Development of a multilayered polydimethylsiloxane (PDMS) optical waveguide mimicking human fingertip tactile structure.
  • Utilizing total internal reflection (TIR) and light scattering principles for tactile imaging.
  • Employing a high-definition camera to record light scattering patterns under applied pressure.
  • Processing tactile images to estimate inclusion characteristics like size, depth, and Young's modulus.

Main Results:

  • Analytical modeling and numerical simulations confirmed the optical waveguide's performance.
  • Experimental evaluations with tissue phantoms demonstrated accurate detection and quantification of embedded inclusions.
  • Reliable estimations of inclusion dimensions (size, depth) and stiffness (Young's modulus) were achieved.
  • The system showed high sensitivity and precision in characterizing simulated tumors.

Conclusions:

  • The Tactile-Sensation Imaging System (TSIS) provides a noninvasive, portable, and cost-efficient method for quantitative breast tumor assessment.
  • TSIS bridges the gap between manual palpation and advanced imaging techniques.
  • Future enhancements aim to improve resolution and diagnostic accuracy for clinical applications.