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Updated: May 21, 2025

Multimodality Diagnosis of Mesenteric Ischemia

Multimodality Diagnosis of Mesenteric Ischemia

Published on: July 21, 2023

Small intestinal bleeding prediction by spectral reconstruction through band selection.

Hsin-Yu Kuo¹, Riya Karmakar², Arvind Mukundan²

¹National Cheng Kung University Hospital, National Cheng Kung University, College of Medicine, Department of Internal Medicine, Tainan City, Taiwan.

Journal of Biomedical Optics

|March 20, 2025

Summary

Detecting gastrointestinal bleeding, a common issue in capsule endoscopy, is improved by using spectral imaging. This technique enhances accuracy in identifying bleeding in the small intestine.

Keywords:

convolutional neural network hyperspectral imaging narrow band imaging small intestine visual geometry group-16 white-light imaging wireless capsule endoscope

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Area of Science:

Gastroenterology and Medical Imaging
Artificial Intelligence in Medicine

Background:

Gastrointestinal bleeding is a prevalent anomaly and critical indicator of various gastrointestinal disorders.
Current diagnosis relies on manual review of wireless capsule endoscopy images, which is labor-intensive and time-consuming.

Purpose of the Study:

To identify and label gastrointestinal bleeding using white-light images (WLIs) from capsule endoscopy.
To evaluate the efficacy of hyperspectral imaging in enhancing bleeding detection accuracy.

Main Methods:

Utilized WLIs from 100 patients undergoing capsule endoscopy (PillCam™ SB 3).
Transformed WLIs into hyperspectral images using spectral reconstruction.
Trained a Visual Geometry Group-16 (VGG-16) convolutional neural network model on spectral and WLI datasets.
Assessed diagnostic accuracy, precision, and recall rates.

Main Results:

Achieved accuracy rates ranging from 65.8% to 88% across different datasets.
Demonstrated higher recall rates for spectral image data (up to 92.4%) compared to initial WLI.
The most refined spectral picture data yielded the highest performance metrics.

Conclusions:

Hyperspectral imaging, particularly within the 405-415 nm wavelength range, significantly improves the accuracy of detecting small intestinal bleeding.
This spectral imaging approach offers a more efficient and accurate method for diagnosing gastrointestinal bleeding compared to traditional WLI analysis.