[1]牛广利,刘翔,宋家琳,等.结合快速傅里叶变换的肝实质病变特征量化检测[J].中国医学物理学杂志,2022,39(2):188-193.[doi:DOI:10.3969/j.issn.1005-202X.2022.02.010]
　NIU Guangli,LIU Xiang,SONG Jialin,et al.Quantitative detection of liver parenchymal lesion characteristics after the combination with fast Fourier transform[J].Chinese Journal of Medical Physics,2022,39(2):188-193.[doi:DOI:10.3969/j.issn.1005-202X.2022.02.010]
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结合快速傅里叶变换的肝实质病变特征量化检测()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
39卷
期数:
2022年第2期
页码:
188-193
栏目:
医学影像物理
出版日期:
2022-02-26

文章信息/Info

Title:
Quantitative detection of liver parenchymal lesion characteristics after the combination with fast Fourier transform
文章编号:
1005-202X（2022）02-0188-06
作者:
牛广利1; 刘翔1; 宋家琳2; 汤显1
1.上海工程技术大学电子电气工程学院， 上海 201620； 2.第二军医大学长征医院超声诊疗科， 上海 200003
Author(s):
NIU Guangli1;  LIU Xiang1;  SONG Jialin2;  TANG Xian1
1. School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China 2. Department of Ultrasound Diagnosis and Treatment, Changzheng Hospital, the Second Military Medical University of Chinese Peoples Liberation Army, Shanghai 200003, China
关键词:
肝实质; 肝硬化; 傅里叶变换; 量化检测; 纹理特征
Keywords:
Keywords: liver parenchyma liver cirrhosis Fourier transform quantitative detection texture feature
分类号:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2022.02.010
文献标志码:
A
摘要:
目的：探讨针对高频超声图像下的肝实质病变特征进行量化检测的可行性。方法：收集47例轻、中、重度乙型肝炎肝硬化患者（轻度肝硬化组、中度肝硬化组、重度肝硬化组）及20名健康志愿者（正常对照组）的肝脏二维高频超声图像，采用快速傅里叶变换与图像形态学处理相结合的方法对肝实质进行处理，自动检测肝实质形态特征并量化提取病变特征数据，并通过评分策略对病变特征进行详细分类。结果：该评分策略所得数据在轻度、中度、重度肝硬化、正常对照组中差异具有统计学意义（P<0.001）。在多重比较中，与正常对照组比较，组间差异均具有统计学意义，与轻度、中度肝硬化组比较，除重度肝硬化组组间差异不显著外，其余均具有统计学意义（P<0.05）。结论：利用快速傅里叶变换可有效提取出符合医生视角的肝实质纹理特征并进行量化，为进一步对肝硬化分级诊断提供数据支撑。
Abstract:
Abstract: Objective To explore the feasibility of the quantitative detection of liver parenchymal lesions in high-frequency ultrasound images. Methods The two-dimensional high-frequency ultrasound images of the liver were collected from 47 patients with mild, moderate and severe hepatitis B cirrhosis (mild, moderate and severe cirrhosis groups) and 20 healthy volunteers (normal control group). By combining fast Fourier transform with image morphological processing techniques, the morphological features of liver parenchyma were obtained automatically, and the lesion characteristics were quantified. Finally, the pathological features were classified in detail by scoring strategy. Results There were statistical differences in the data obtained by scoring strategy among mild, moderate, severe cirrhosis groups and normal control group (P<0.001). The multiple comparisons revealed that the quantified data of cirrhosis groups were significantly different from those of normal control group, and that the differences between groups were statistical significant (P<0.05), except for the comparison between severe cirrhosis group and mild or moderate cirrhosis group. Conclusion The texture features of liver parenchyma in accordance with doctors view can be extracted and quantified by fast Fourier transform, which provides data support for the further diagnosis and grading of liver cirrhosis.

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备注/Memo

备注/Memo:
【收稿日期】2021-10-14 【基金项目】上海市自然科学基金（19ZR1421500）；国家自然科学基金青年基金（81101105） 【作者简介】牛广利，硕士，研究方向：医学图像处理，E-mail: 13526501792@163.com 【通信作者】刘翔，博士，副教授，主要研究方向：计算机视觉与人工生命，E-mail: xliu@sues.edu.cn
更新日期/Last Update: 2022-03-07