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Discrimination between normal and necrotic small intestinal tissue using hyperspectral imaging and unsupervised

Lechao Zhang1,2, Danfei Huang1,2, Xiaojing Chen3

  • 1College of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun, China.

Journal of Biophotonics
|March 26, 2023
PubMed
Summary
This summary is machine-generated.

Hyperspectral imaging (HSI) and density peaks (DP) clustering effectively distinguish normal from necrotic small intestinal tissue. This technique achieved 92.07% purity, aiding in vivo clinical diagnosis.

Keywords:
K-meansdensity peakshyperspectral imagingsmall intestine tissueunsupervised classification

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Area of Science:

  • Medical imaging
  • Gastroenterology
  • Computational pathology

Background:

  • Clinical differentiation of normal versus necrotic small intestinal tissue is challenging.
  • Objective and automated methods are needed for accurate tissue assessment.

Purpose of the Study:

  • To evaluate the efficacy of hyperspectral imaging (HSI) combined with unsupervised clustering for distinguishing normal from necrotic small intestinal tissue.
  • To assess the performance of K-means and density peaks (DP) clustering algorithms in this differentiation task.

Main Methods:

  • Acquisition of hyperspectral images of small intestinal tissue from eight rabbits using a visible near-infrared hyperspectral camera.
  • Application of K-means and DP clustering algorithms for unsupervised classification of tissue types.
  • Selection of optimal band combinations (500-622 nm and 700-858 nm) for DP clustering.

Main Results:

  • The DP clustering algorithm demonstrated high accuracy in differentiating normal and necrotic tissues.
  • An average clustering purity of 92.07% was achieved using specific band combinations.
  • The study successfully differentiated tissue types based on spectral signatures.

Conclusions:

  • Hyperspectral imaging (HSI) coupled with DP clustering shows significant potential for objective and automated clinical discrimination of small intestinal tissue viability.
  • This approach can serve as an assistive tool for physicians in diagnosing necrotic sites in vivo.
  • Further validation in clinical settings is warranted to confirm the utility of HSI in small intestine assessment.