Computed Tomography Image Segmentation of Lung Corona Virus Infection Region Based on Combination of Grayscale Morphological Reconstruction and Fast Marching Method

Q4 Biochemistry, Genetics and Molecular Biology

Journal of Biomolecular Techniques Pub Date : 2023-09-18 DOI:10.51173/jt.v5i3.1060

Aws Alazawi, None Abbas Fadhal Humadi, None Huda Farooq Jameel, None Huda Ali Hashim, None John Soraghan

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引用次数: 0

Abstract

Recently, X-ray computed tomography-imaging modality is considered as golden standard for diagnosis of coronavirus lungs infection. In worldwide, infectious patients increase rapidly that lead to weariness in health services staff, as well as instant treatment required to avoid patients’ health deterioration due to infection development. Image processing would be reinforcing health services by considering computer-based segmentation. However, a ground glass computed tomography image fashion of coronavirus lungs infection characterized by disappearance of edge region of interest and lack of object structure. In this study, these challenges addressed by introducing a new algorithm that combined both morphological reconstruction and fast marching method. The proposed algorithm applied on archived computed tomography dataset for coronavirus infected patients, results showed consistent determination of ground glass infection region compared to manual delineation of senior physician. The proposed algorithm restricted to empirical adjustment of FMM’s threshold that would be addressed in upcoming study.

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基于灰度形态重建和快速行军相结合的肺冠状病毒感染区域计算机断层图像分割

近年来，x线计算机断层成像模式被认为是诊断冠状病毒肺部感染的金标准。在世界范围内，传染病患者迅速增加，导致卫生服务人员感到厌倦，以及需要立即治疗，以避免患者因感染发展而健康恶化。通过考虑基于计算机的分割，图像处理将加强保健服务。然而，冠状病毒肺部感染的磨砂玻璃计算机断层成像方式以感兴趣的边缘区域消失和缺乏物体结构为特征。在本研究中，通过引入一种结合形态重建和快速行军方法的新算法来解决这些挑战。将该算法应用于冠状病毒感染患者的存档计算机断层扫描数据集，结果显示磨砂玻璃感染区域的确定与高级医生手动划定的区域一致。本文提出的算法仅限于FMM阈值的经验调整，这将在后续的研究中得到解决。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Biomolecular Techniques Biochemistry, Genetics and Molecular Biology-Molecular Biology

CiteScore

2.50

自引率

0.00%

发文量

期刊介绍： The Journal of Biomolecular Techniques is a peer-reviewed publication issued five times a year by the Association of Biomolecular Resource Facilities. The Journal was established to promote the central role biotechnology plays in contemporary research activities, to disseminate information among biomolecular resource facilities, and to communicate the biotechnology research conducted by the Association’s Research Groups and members, as well as other investigators.