Singular value decomposition combined with block-matching and three-dimensional filtering for improving imaging quality of contrast-enhanced ultrasound
10.13929/j.issn.1003-3289.2025.10.025
- VernacularTitle:奇异值分解联合三维块匹配滤波用于改善超声造影图像质量
- Author:
Huarong YE
1
;
Chen LIU
;
Haiman HU
;
Yumeng LEI
;
Qi WANG
;
Ge ZHANG
Author Information
1. 武汉科技大学附属华润武钢总医院超声医学科,湖北武汉 430080;职业危害识别与控制湖北省重点实验室,湖北武汉 430065
- Publication Type:Journal Article
- Keywords:
ultrasonography;
dimensionality reduction;
image quality;
block-matching and three-dimensional filtering
- From:
Chinese Journal of Medical Imaging Technology
2025;41(10):1720-1724
- CountryChina
- Language:Chinese
-
Abstract:
Objective To observe the value of singular value decomposition(SVD)combined with block-matching and three-dimensional(BM3D)filtering for improving imaging quality of contrast-enhanced ultrasound(CEUS).Methods Three subject who would undergo liver,kidney and ovarian CEUS examination respectively were prospectively enrolled,and 250 images unaffected by respiratory movements were acquired in each one.SVD filtering was performed alone and combined with BM3D filtering,and contrast-to-tissue ratio(CTR),contrast-to-noise ratio(CNR)and signal-to-noise ratio(SNR)of the obtained CEUS images were calculated and compared.Results Compared with original CEUS images,CTR,CNR and SNR of SVD alone filtered CEUS images improved,which all further improved after combining with BM3D filtering.Conclusion SVD combined with BM3D filtering could significantly suppress the background tissue signals and remove noise,improving imaging quality of CEUS.
