|本期目录/Table of Contents|

[1]齐鑫,杨智△,李冬果△.基于超分辨率重构技术的医学超声波图像增强方法研究*[J].生物医学工程研究,2019,01:59-62.
 QI Xin,YANG Zhi,LI Dongguo.Research on medical ultrasound image enhancement method based on super resolution reconstruction technology[J].Journal of Biomedical Engineering Research,2019,01:59-62.
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基于超分辨率重构技术的医学超声波图像增强方法研究*(PDF)

《生物医学工程研究》[ISSN:1006-6977/CN:61-1281/TN]

期数:
2019年01期
页码:
59-62
栏目:
出版日期:
2019-03-25

文章信息/Info

Title:
Research on medical ultrasound image enhancement method based on super resolution reconstruction technology
文章编号:
1672-6278 (2019)01-0059-04
作者:
齐鑫12杨智1△李冬果1△
1.首都医科大学,北京 100069;2. 国家肿瘤临床医学研究中心/中国医学科学院北京协和医学院肿瘤医院,北京 100021
Author(s):
QI Xin12YANG Zhi1LI Dongguo1
1.School of Biomedical Engineering, Capital Medical University, Beijing 100069,China;2. National Cancer Clinical Medical Research Center/Tumor Hospital of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100021
关键词:
超分辨率重构超声图像图像融合小波变换甲状腺腮腺乳腺
Keywords:
Image super-resolution reconstructionUltrasound imagesImage fusionWavelet transformThyroid glandParotid glandbreast
分类号:
R318
DOI:
10.19529/j.cnki.1672-6278.2019.01.12
文献标识码:
A
摘要:
为了解决超声影像特有的斑点噪声对图像质量的影响,发挥其无辐射、安全、低成本,可以实时成像的优势。利用超分辨率重构技术弥补图像质量不佳的缺点,对超声更广泛的应用于疾病早期诊断与筛查具有重要的意义。本研究对甲状腺、腮腺、乳腺三个部位的五组超声图像进行融合重构。结果表明,超分辨率图像重构技术可以提高图像的质量——图像横断特征轮廓更清晰、抑制噪声水平。
Abstract:
In order to solve the influence of speckle noise on image quality, the advantages of non-radiation, safety, low cost and real-time imaging can be brought into play. Using super-resolution reconstruction technology to remedy the poor image quality is of great significance for the wider application of ultrasound in early diagnosis and screening of diseases. Five groups of ultrasound images of thyroid gland, parotid gland and breast were fused and reconstructed. The results show that image super-resolution reconstruction technology can improve the image quality——the cross-sectional feature contour of image is clearer and noise level is suppressed.

参考文献/References

备注/Memo

备注/Memo:
(收稿日期:2018-11-30)北京市教育委员会科技发展计划一般项目 (KM201710025010);首都医科大学基础临床合作项目(17JL61)。△通信作者Email: ldg213@ccmu.edu.cn;zhiyang@ccmu.edu.cn
更新日期/Last Update: 2019-05-24