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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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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A computing platform to analyze breast abnormalities using infrared images.

Ladjane Coelho Santos1, Rita de Cassia Fernandes de Lima1, Anselmo Cardoso de Paiva2

  • 1Departamento de Engenharia Mecânica (DEMEC), Grupo de Pesquisa de Processamento de Alto Desempenho Computacional, Universidade Federal de Pernambuco (UFPE), Recife, Brazil.

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This study presents a MATLAB tool for breast thermal modeling using infrared imaging. The software automates analysis of breast temperature profiles and nodules, aiding in early detection.

Keywords:
Computational infrastructureInfrared imageMappingParametric analysis

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Computational Modeling

Background:

  • Accurate breast thermal modeling is crucial for early disease detection.
  • Existing methods for infrared image analysis can be time-consuming and complex.
  • Automated tools are needed to streamline the analysis of breast thermography.

Purpose of the Study:

  • To develop and present a computational tool for evaluating breast thermal models.
  • To automate the analysis of infrared images for breast temperature profiling and nodule detection.
  • To provide a framework for parametric analysis of breast tumors with varying characteristics.

Main Methods:

  • Development of a MATLAB-based computational tool with interconnected modules.
  • Manipulation of infrared images to generate temperature matrices.
  • Automated frontal and lateral temperature mapping of the breast surface.
  • Integration with mesh generation software and computational fluid dynamics (CFD) code (FLUENT) for validation.

Main Results:

  • The tool successfully processes infrared images into temperature matrices.
  • It generates frontal and lateral temperature mappings and associated data files.
  • Parametric analysis allows for the study of tumors with diverse shapes and locations.
  • The system automates the infrared image analysis process.

Conclusions:

  • The developed MATLAB tool offers an automated and organized approach to breast infrared image analysis.
  • This computational infrastructure facilitates the evaluation of breast thermal models and nodule analysis.
  • The tool's validation using CFD enhances its reliability for research and potential clinical applications.