Image Mosaic Algorithm-Based Analysis of Pathological Characteristics of Gastric Polyp Patients Using Computed Tomography Images

The application value of image mosaic algorithm (IMA) based CT imaging technology in the analysis of pathological characteristics of gastric polyp (GP) patients was explored in this work. 588 cases of GP patients in the hospital were selected as the research objects, and CT images based on IMA were...

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Autores principales:	Xiqi Zhu, Jian Jiang, Jian Wang, Yue Tang, Xiaoming Ge
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/2227a4f918b940079d82a4068e6d2a0e
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spelling	oai:doaj.org-article:2227a4f918b940079d82a4068e6d2a0e2021-11-22T01:11:08ZImage Mosaic Algorithm-Based Analysis of Pathological Characteristics of Gastric Polyp Patients Using Computed Tomography Images2040-230910.1155/2021/6086106https://doaj.org/article/2227a4f918b940079d82a4068e6d2a0e2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6086106https://doaj.org/toc/2040-2309The application value of image mosaic algorithm (IMA) based CT imaging technology in the analysis of pathological characteristics of gastric polyp (GP) patients was explored in this work. 588 cases of GP patients in the hospital were selected as the research objects, and CT images based on IMA were adopted for examination. The patient’s basic information, image performance, and gastroscopy results were recorded. The results showed that the absolute mean bright error (AMBE) index and information entropy of the IMA are 0.0625 and 7.0385, respectively. The clinical symptoms of patients were mostly abdominal pain (21.4%), abdominal distension (15.6%), and sour regurgitation (17.8%). The common size of GP was no more than 0.5 cm, and the common type was Yamada type II. There were notable differences between single and multiple GPs of different pathological types (P<0.05). Proliferative polyps were mostly found in the stomach and antrum, while fundus gland polyps were mostly in the stomach and fundus. There was significant difference between the growth location of the hyperplastic polyp and basal gland polyp (P<0.05). In summary, the CT images of IMA proposed in this paper can not only realize image splicing effectively but also were superior to the traditional SIFT method in the quality of splicing image and were conducive to the analysis of the pathological characteristics of GP patients, which had significant clinical promotion value.Xiqi ZhuJian JiangJian WangYue TangXiaoming GeHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Medical technology R855-855.5
spellingShingle	Medicine (General) R5-920 Medical technology R855-855.5 Xiqi Zhu Jian Jiang Jian Wang Yue Tang Xiaoming Ge Image Mosaic Algorithm-Based Analysis of Pathological Characteristics of Gastric Polyp Patients Using Computed Tomography Images
description	The application value of image mosaic algorithm (IMA) based CT imaging technology in the analysis of pathological characteristics of gastric polyp (GP) patients was explored in this work. 588 cases of GP patients in the hospital were selected as the research objects, and CT images based on IMA were adopted for examination. The patient’s basic information, image performance, and gastroscopy results were recorded. The results showed that the absolute mean bright error (AMBE) index and information entropy of the IMA are 0.0625 and 7.0385, respectively. The clinical symptoms of patients were mostly abdominal pain (21.4%), abdominal distension (15.6%), and sour regurgitation (17.8%). The common size of GP was no more than 0.5 cm, and the common type was Yamada type II. There were notable differences between single and multiple GPs of different pathological types (P<0.05). Proliferative polyps were mostly found in the stomach and antrum, while fundus gland polyps were mostly in the stomach and fundus. There was significant difference between the growth location of the hyperplastic polyp and basal gland polyp (P<0.05). In summary, the CT images of IMA proposed in this paper can not only realize image splicing effectively but also were superior to the traditional SIFT method in the quality of splicing image and were conducive to the analysis of the pathological characteristics of GP patients, which had significant clinical promotion value.
format	article
author	Xiqi Zhu Jian Jiang Jian Wang Yue Tang Xiaoming Ge
author_facet	Xiqi Zhu Jian Jiang Jian Wang Yue Tang Xiaoming Ge
author_sort	Xiqi Zhu
title	Image Mosaic Algorithm-Based Analysis of Pathological Characteristics of Gastric Polyp Patients Using Computed Tomography Images
title_short	Image Mosaic Algorithm-Based Analysis of Pathological Characteristics of Gastric Polyp Patients Using Computed Tomography Images
title_full	Image Mosaic Algorithm-Based Analysis of Pathological Characteristics of Gastric Polyp Patients Using Computed Tomography Images
title_fullStr	Image Mosaic Algorithm-Based Analysis of Pathological Characteristics of Gastric Polyp Patients Using Computed Tomography Images
title_full_unstemmed	Image Mosaic Algorithm-Based Analysis of Pathological Characteristics of Gastric Polyp Patients Using Computed Tomography Images
title_sort	image mosaic algorithm-based analysis of pathological characteristics of gastric polyp patients using computed tomography images
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/2227a4f918b940079d82a4068e6d2a0e
work_keys_str_mv	AT xiqizhu imagemosaicalgorithmbasedanalysisofpathologicalcharacteristicsofgastricpolyppatientsusingcomputedtomographyimages AT jianjiang imagemosaicalgorithmbasedanalysisofpathologicalcharacteristicsofgastricpolyppatientsusingcomputedtomographyimages AT jianwang imagemosaicalgorithmbasedanalysisofpathologicalcharacteristicsofgastricpolyppatientsusingcomputedtomographyimages AT yuetang imagemosaicalgorithmbasedanalysisofpathologicalcharacteristicsofgastricpolyppatientsusingcomputedtomographyimages AT xiaomingge imagemosaicalgorithmbasedanalysisofpathologicalcharacteristicsofgastricpolyppatientsusingcomputedtomographyimages
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Image Mosaic Algorithm-Based Analysis of Pathological Characteristics of Gastric Polyp Patients Using Computed Tomography Images

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