| 叶华容,刘琛,胡海曼,雷雨蒙,王琦,张舸.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[J].中国医学影像技术,2025,41(10):1720~1724 |
| 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 |
| Singular value decomposition combined with block-matching and three-dimensional filtering for improving imaging quality of contrast-enhanced ultrasound |
| 投稿时间：2025-03-11 修订日期：2025-08-09 |
| DOI：10.13929/j.issn.1003-3289.2025.10.025 |
| 中文关键词: 超声检查 降维 图像质量 三维块匹配滤波 |
| 英文关键词:ultrasonography dimensionality reduction image quality block-matching and three-dimensional filtering |
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| 中文摘要: |
| 目的 观察奇异值分解(SVD)联合三维块匹配(BM3D)滤波用于改善超声造影(CEUS)图像质量的价值。方法 前瞻性纳入拟接受肝脏、肾脏及卵巢CEUS检查的受试者各1名,采集不受呼吸运动干扰的250帧图,进行单一SVD滤波处理及其联合 BM3D滤波处理,计算所获图像的对比组织比(CTR)、对比度噪声比(CNR)及信噪比(SNR)并进行对比。结果 相比原始CEUS图像,经单一SVD滤波处理后CEUS图像的CTR、CNR和SNR均有所提升,联合BM3D滤波处理后各参数均获得进一步改善。结论 SVD联合BM3D滤波可显著抑制背景组织信号并去除噪声、提高CEUS图像质量。 |
| 英文摘要: |
| 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. |
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