Hyperspectral Imaging Combined with Deep Learning to Detect Ischemic Necrosis in Small Intestinal Tissue

Author:

Zhang Lechao12,Zhou Yao12,Huang Danfei12,Zhu Libin3,Chen Xiaoqing3,Xie Zhonghao4,Cui Guihua4ORCID,Huang Guangzao4,Ali Shujat4ORCID,Chen Xiaojing4

Affiliation:

1. School of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130000, China

2. Zhongshan Research Institute, Changchun University of Science and Technology, Zhongshan 528400, China

3. Pediatric General Surgery, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325000, China

4. College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325000, China

Abstract

Obtaining adequate resection margins in small intestinal necrotic tissue remains challenging due to the lack of intraoperative feedback. Here, we used hyperspectral imaging (HSI), an imaging technique for objective identification, combined with deep learning methods for automated small intestine tissue classification. As part of a prospective experimental study, we recorded hyperspectral datasets of small intestine biopsies from seven white rabbits. Based on the differences in the spectral characteristics of normal and ischemic necrotic small intestinal tissues in the wavelength range of 400–1000 nm, we applied deep learning techniques to objectively distinguish between these two types of tissues. The results showed that three-dimensional convolutional neural networks were more effective in extracting both spectral and spatial features of small intestine tissue hyperspectral data for classification. The combination of a deep learning model and HSI provided a new idea for the objective identification of ischemic necrotic tissue in the small intestine.

Funder

Wenzhou Social Development (Medical and Health) Science and Technology Project

Changchun University of Science and Technology Zhongshan Research Institute Project

Natural Science Foundation of China

Zhejiang Provincial Medical and Health Project

Publisher

MDPI AG

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Atomic and Molecular Physics, and Optics

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