Lung parenchyma parameters measure of rats from pulmonary window computed tomography images based on ResU-Net model for medical respiratory researches

Yingjian Yang; Qiang Li; Yingwei Guo; Yang Liu; Xian Li; Jiaqi Guo; Wei Li; Lei Cheng; Huai Chen; Yan Kang; Yingjian Yang; Qiang Li; Yingwei Guo; Yang Liu; Xian Li; Jiaqi Guo; Wei Li; Lei Cheng; Huai Chen; Yan Kang

doi:10.3934/mbe.2021210

Mathematical Biosciences and Engineering

2021, Volume 18, Issue 4: 4193-4211. doi: 10.3934/mbe.2021210

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Lung parenchyma parameters measure of rats from pulmonary window computed tomography images based on ResU-Net model for medical respiratory researches

1.
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China
2.
Medical Health and Intelligent Simulation Laboratory, Medical Device Innovation Center, Shenzhen Technology University, Shenzhen 518118, China
3.
Department of Radiology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
4.
Engineering Research Centre of Medical Imaging and Intelligent Analysis, Ministry of Education, Shenyang 110169, China

Academic Editor: Carlo Ricciardi

Received: 02 April 2021 Accepted: 10 May 2021 Published: 13 May 2021

Our paper proposes a method to measure lung parenchyma parameters from pulmonary window computed tomography images based on ResU-Net model including the CT value, the density, the lung volume, and the surface area of the lungs of healthy rats, to help promote the quantitative analysis of lung parenchyma parameters of rats in medical respiratory researches. Through the analysis of the lung parenchyma parameters of the control group and the treatment group, the law of change among the lung parenchyma parameters is given in our paper. After comparing and analyzing the lung parenchyma parameter CT value and the density of the two groups, it is discovered that the lung parenchyma parameter CT value and the density significantly increase in the treatment group which is after continuously inhaling the nebulization of contrast agents. The change of the lung volume with the surface area in both two groups conforms to the law of lung changes during breathing. The relationship between the lung volume and the CT value or the density is analyzed and it is concluded that the lung volume is negatively correlated with the CT value or the density.
- rats,
- lung parenchyma parameters,
- pulmonary window images,
- computed tomography,
- medical respiratory
Citation: Yingjian Yang, Qiang Li, Yingwei Guo, Yang Liu, Xian Li, Jiaqi Guo, Wei Li, Lei Cheng, Huai Chen, Yan Kang. Lung parenchyma parameters measure of rats from pulmonary window computed tomography images based on ResU-Net model for medical respiratory researches[J]. Mathematical Biosciences and Engineering, 2021, 18(4): 4193-4211. doi: 10.3934/mbe.2021210

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Abstract

Our paper proposes a method to measure lung parenchyma parameters from pulmonary window computed tomography images based on ResU-Net model including the CT value, the density, the lung volume, and the surface area of the lungs of healthy rats, to help promote the quantitative analysis of lung parenchyma parameters of rats in medical respiratory researches. Through the analysis of the lung parenchyma parameters of the control group and the treatment group, the law of change among the lung parenchyma parameters is given in our paper. After comparing and analyzing the lung parenchyma parameter CT value and the density of the two groups, it is discovered that the lung parenchyma parameter CT value and the density significantly increase in the treatment group which is after continuously inhaling the nebulization of contrast agents. The change of the lung volume with the surface area in both two groups conforms to the law of lung changes during breathing. The relationship between the lung volume and the CT value or the density is analyzed and it is concluded that the lung volume is negatively correlated with the CT value or the density.

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