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Robust, accurate depth-resolved attenuation characterization in optical coherence tomography.

Kaiyan Li1,2, Wenxuan Liang3,4,2, Zihan Yang5

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This study introduces a new algorithm for optical coherent tomography (OCT) to accurately measure tissue optical attenuation coefficients. The method improves accuracy and robustness for diverse biological samples, overcoming limitations of existing techniques.

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Optical Coherence Tomography

Background:

  • Depth-resolved optical attenuation coefficient is crucial for OCT imaging.
  • Existing methods exhibit under- and over-estimation biases in biological tissues.
  • OCT data often present challenges like incomplete decay and noise floors.

Purpose of the Study:

  • To systematically analyze biases in current depth-resolved OCT methods.
  • To develop a novel algorithm for accurate optical attenuation coefficient estimation.
  • To address limitations of existing OCT analysis techniques for biological samples.

Main Methods:

  • Systematic analysis of under- and over-estimation biases in existing algorithms.
  • Development of a new algorithm to correct for biases and handle incomplete/noisy OCT data.
  • Validation using numerical simulations and experimental OCT data from phantoms and human tissue.

Main Results:

  • The proposed algorithm significantly improves estimation accuracy compared to existing methods.
  • Demonstrated enhanced numerical robustness for practical biological samples.
  • Successfully validated on both controlled phantoms (silicone-TiO2) and clinical samples (human ventral tongue leukoplakia).

Conclusions:

  • The novel algorithm provides consistent and accurate depth-resolved optical attenuation coefficient estimation.
  • It effectively overcomes limitations of previous methods when applied to real-world OCT data.
  • This advancement offers a more reliable tool for quantitative OCT analysis in biological and medical applications.