| 叶华容,田怡,王琦,余靖,雷炳松,胡海曼,张舸.超声矢量血流成像联合奇异值分解滤波检测肝脏深部微血管内血流速度[J].中国医学影像技术,2024,40(2):280~284 |
| 超声矢量血流成像联合奇异值分解滤波检测肝脏深部微血管内血流速度 |
| Ultrasound vector flow imaging combined with singular value decomposition filtering for depicting deep microvasculature flow velocity of liver |
| 投稿时间：2023-10-23 修订日期：2023-12-05 |
| DOI：10.13929/j.issn.1003-3289.2024.02.026 |
| 中文关键词: 肝 血管 奇异值分解 超声检查 |
| 英文关键词:liver blood vessels singular value decomposition ultrasonography |
| 基金项目:湖北省自然科学基金（2023AFB289）、职业危害识别与控制湖北省重点实验室（OHIC2022G06）。 |
|
| 摘要点击次数: 420 |
| 全文下载次数: 262 |
| 中文摘要: |
| 目的 观察超声矢量流速成像（VFI）联合奇异值分解（SVD）滤波对检测肝脏深部微血管内血流速度的价值。方法 前瞻性对1例疑诊肝血管瘤患者采集肝脏灰阶超声、CDFI及超声造影（CEUS）图；对CEUS图行SVD滤波处理，以互相关算法分别获取基于灰阶超声、原始CEUS及经SVD滤波处理后CEUS的VFI，比较其检测肝脏微血管血流方向和速度的差异。结果 肝脏灰阶超声、原始CEUS及经SVD滤波处理后CEUS图的信噪比（SNR）分别为7.56、17.65及22.43 dB，对比组织比（CTR）分别为1.12、7.56及16.34 dB。相比基于灰阶超声和原始CEUS的VFI，经SVD滤波处理后CEUS的VFI可检出更高速、方向更均一的血流。SVD滤波处理前、后，VFI所测肝脏微血管内血流速度分别为1.91（0.81，4.11）及6.83（4.25，9.41）mm/s，差异有统计学意义（Z=-10.671，P<0.001）。结论 联合SVD滤波可显著提高VFI检测肝脏深部微血管内血流速度的效能。 |
| 英文摘要: |
| Objective To observe the value of ultrasound vector flow imaging (VFI) combined with singular value decomposition (SVD) filtering for depicting deep microvasculature flow velocity of liver. Methods Grayscale ultrasound, CDFI and contrast-enhanced ultrasound (CEUS) were prospectively performed in a patient with suspected liver hemangioma. Images of CEUS were dealt with SVD filtering. Cross-correlation algorithm was used to obtain images of VFI based on grayscale ultrasound, original CEUS and SVD filtered CEUS, respectively, and the ability of the above images for depicting liver microvascular flow direction and velocity were compared. Results The signal-to-noise ratio (SNR) of liver grayscale ultrasound, original CEUS and SVD filtered CEUS images was 7.56, 17.65 and 22.43 dB, respectively, while their contrast-to-issue ratio (CTR) was 1.12, 7.56 and 16.34 dB, respectively. Compared with VFI based on grayscale ultrasound and original CEUS, VFI based on SVD filtered CEUS could display faster velocity and more uniform direction of blood flow. Before and after SVD filtering, liver microvascular flow velocity measured with VFI was 1.91 (0.81, 4.11) and 6.83 (4.25, 9.41) mm/s, respectively, which were significantly different (Z=-10.671, P<0.001). Conclusion Combined with SVD filtering could significantly improve the efficiency of VFI for depicting liver deep microvasculature flow velocity. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
