基于高分辨率超声成像技术评价PCOS患者卵巢微血管结构。

IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS
Xianyi Chen, Guoxu Lv, Jian Lv, Ruoyu Wang, Jinyi Zhu, Hongying Kuang
{"title":"基于高分辨率超声成像技术评价PCOS患者卵巢微血管结构。","authors":"Xianyi Chen, Guoxu Lv, Jian Lv, Ruoyu Wang, Jinyi Zhu, Hongying Kuang","doi":"10.1016/j.slast.2025.100356","DOIUrl":null,"url":null,"abstract":"<p><p>Polycystic Ovary Syndrome (PCOS) patients often have ovarian microcirculatory disorders. Traditional color Doppler imaging of microvascular is not sensitive enough and is prone to missed detection or artifact interference. This study is based on a high-frequency probe combined with SMI (Superb Microvascular Imaging) and ultrasound contrast imaging to achieve high signal-to-noise ratio acquisition and dynamic quantification of low-speed blood flow in microvascular, filling the gap in existing technology. This study sets low-pass filtering and low PRF (Pulse Repetition Frequency) to enhance the detection of low-speed flow signals in microvascular. SMI and CEUS (Contrast-Enhanced Ultrasound) sequences are collected in sequence, and the time points are calibrated synchronously on the same section to achieve multimodal image fusion. The ovarian area is semi-automatically segmented based on the U-Net model, and the ROI (Region of Interest) containing the vascular structure is extracted. The vascular density, average diameter, and number of branches are calculated using self-developed image analysis software, and the feature vector is derived. The CEUS time-intensity curve is fitted with a double exponential, and dynamic perfusion parameters such as peak time and perfusion half-life are extracted for microcirculation evaluation and hemodynamic analysis. The experiment shows that in the 10 ovarian ROIs analyzed, the vascular density ranges from 5.43% to 8.45%; the average diameter is 5.88 to 6.52 pixels; the branch number consistency difference rate is less than 3%. The perfusion half-life is distributed between 21.8 and 25.1 seconds, and the peak time of the PCOS group is delayed by 0.5 seconds compared with the normal group, indicating that there are significant differences in their microvascular structure and perfusion function.</p>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":" ","pages":"100356"},"PeriodicalIF":3.7000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of Ovarian Microvascular Structure in PCOS Patients Based on High-resolution Ultrasound Imaging Technology.\",\"authors\":\"Xianyi Chen, Guoxu Lv, Jian Lv, Ruoyu Wang, Jinyi Zhu, Hongying Kuang\",\"doi\":\"10.1016/j.slast.2025.100356\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Polycystic Ovary Syndrome (PCOS) patients often have ovarian microcirculatory disorders. Traditional color Doppler imaging of microvascular is not sensitive enough and is prone to missed detection or artifact interference. This study is based on a high-frequency probe combined with SMI (Superb Microvascular Imaging) and ultrasound contrast imaging to achieve high signal-to-noise ratio acquisition and dynamic quantification of low-speed blood flow in microvascular, filling the gap in existing technology. This study sets low-pass filtering and low PRF (Pulse Repetition Frequency) to enhance the detection of low-speed flow signals in microvascular. SMI and CEUS (Contrast-Enhanced Ultrasound) sequences are collected in sequence, and the time points are calibrated synchronously on the same section to achieve multimodal image fusion. The ovarian area is semi-automatically segmented based on the U-Net model, and the ROI (Region of Interest) containing the vascular structure is extracted. The vascular density, average diameter, and number of branches are calculated using self-developed image analysis software, and the feature vector is derived. The CEUS time-intensity curve is fitted with a double exponential, and dynamic perfusion parameters such as peak time and perfusion half-life are extracted for microcirculation evaluation and hemodynamic analysis. The experiment shows that in the 10 ovarian ROIs analyzed, the vascular density ranges from 5.43% to 8.45%; the average diameter is 5.88 to 6.52 pixels; the branch number consistency difference rate is less than 3%. The perfusion half-life is distributed between 21.8 and 25.1 seconds, and the peak time of the PCOS group is delayed by 0.5 seconds compared with the normal group, indicating that there are significant differences in their microvascular structure and perfusion function.</p>\",\"PeriodicalId\":54248,\"journal\":{\"name\":\"SLAS Technology\",\"volume\":\" \",\"pages\":\"100356\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SLAS Technology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.slast.2025.100356\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SLAS Technology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.slast.2025.100356","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

摘要

多囊卵巢综合征(PCOS)患者常伴有卵巢微循环障碍。传统的彩色多普勒微血管成像灵敏度不高,容易漏检或人为干扰。本研究基于高频探头结合SMI (Superb Microvascular Imaging)和超声对比成像,实现微血管低速血流的高信噪比采集和动态量化,填补了现有技术的空白。本研究通过低通滤波和低PRF(脉冲重复频率)来增强微血管低速血流信号的检测。按顺序采集SMI和CEUS (Contrast-Enhanced Ultrasound)序列,在同一切片上同步标定时间点,实现多模态图像融合。基于U-Net模型对卵巢区域进行半自动分割,提取包含血管结构的感兴趣区域(ROI)。利用自主开发的图像分析软件计算血管密度、平均直径和分支数,并导出特征向量。采用双指数拟合超声造影时间-强度曲线,提取峰值时间、灌注半衰期等动态灌注参数,用于微循环评价和血流动力学分析。实验表明,在分析的10个卵巢roi中,血管密度范围为5.43% ~ 8.45%;平均直径为5.88 ~ 6.52像素;分支号码一致性差率小于3%。灌注半衰期分布在21.8 ~ 25.1秒之间,PCOS组峰值时间较正常组延迟0.5秒,说明两者微血管结构和灌注功能存在显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Ovarian Microvascular Structure in PCOS Patients Based on High-resolution Ultrasound Imaging Technology.

Polycystic Ovary Syndrome (PCOS) patients often have ovarian microcirculatory disorders. Traditional color Doppler imaging of microvascular is not sensitive enough and is prone to missed detection or artifact interference. This study is based on a high-frequency probe combined with SMI (Superb Microvascular Imaging) and ultrasound contrast imaging to achieve high signal-to-noise ratio acquisition and dynamic quantification of low-speed blood flow in microvascular, filling the gap in existing technology. This study sets low-pass filtering and low PRF (Pulse Repetition Frequency) to enhance the detection of low-speed flow signals in microvascular. SMI and CEUS (Contrast-Enhanced Ultrasound) sequences are collected in sequence, and the time points are calibrated synchronously on the same section to achieve multimodal image fusion. The ovarian area is semi-automatically segmented based on the U-Net model, and the ROI (Region of Interest) containing the vascular structure is extracted. The vascular density, average diameter, and number of branches are calculated using self-developed image analysis software, and the feature vector is derived. The CEUS time-intensity curve is fitted with a double exponential, and dynamic perfusion parameters such as peak time and perfusion half-life are extracted for microcirculation evaluation and hemodynamic analysis. The experiment shows that in the 10 ovarian ROIs analyzed, the vascular density ranges from 5.43% to 8.45%; the average diameter is 5.88 to 6.52 pixels; the branch number consistency difference rate is less than 3%. The perfusion half-life is distributed between 21.8 and 25.1 seconds, and the peak time of the PCOS group is delayed by 0.5 seconds compared with the normal group, indicating that there are significant differences in their microvascular structure and perfusion function.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信