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Optimizing Infrared Camera Resolution for Small Object Detection using Subpixel Rendering and PIFS in Multiresolution

Poerbaningtyas E1,2, Dradjat R S3, Endharti A T4

  • 1MT, Doctoral Program of Medical Science, Faculty of Medicine, Brawijaya University, Malang, Indonesia.

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This study enhanced infrared thermography to precisely detect small breast cancer lesions in rats. The improved method achieved high sensitivity and specificity, offering a promising alternative for early cancer detection.

Keywords:
Breast NeoplasmsMammographyMeasureScreening CancerTemperature

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Oncology

Background:

  • Thermography is an emerging breast cancer screening technique, offering an alternative to mammography.
  • Limitations in current infrared camera resolution and image processing hinder precise detection of small lesions.
  • Existing methods can lead to imprecise measurements and false positives in early breast cancer detection.

Purpose of the Study:

  • To develop an optimized model for accurate detection of induced breast cancer lesions in rats.
  • To overcome the limitations of low-resolution infrared cameras in identifying small objects.

Main Methods:

  • Optimized image processing techniques to enhance the resolution of low-resolution infrared cameras.
  • Adjusted object-to-camera distance and utilized multi-image shifting to precisely measure object dimensions.
  • Employed Partitioned Iterated Function Systems (PIFS) to increase image resolution by splitting pixels and combining multiple images.

Main Results:

  • Successfully detected cancerous lesions as small as 1.27 mm in diameter.
  • Achieved a sensitivity of 93% and a specificity of 77% for lesion detection.
  • Demonstrated the capability to precisely measure small objects through enhanced image resolution.

Conclusions:

  • The developed method significantly improves the precision of infrared thermography for detecting small cancerous lesions.
  • Image resolution enhancement through pixel splitting and multi-image combination is effective for precise measurement of small objects.
  • This technique shows potential for accurate early breast cancer detection in preclinical models.