Ultrasound microvascular imaging and fusion imaging under adaptive singular value threshold control
10.13929/j.issn.1003-3289.2024.10.026
- VernacularTitle:自适应奇异值阈值调控下超声微血管成像及融合成像
- Author:
Haiman HU
1
,
2
,
3
;
Yumeng LEI
;
Jing YU
;
Hua YAN
;
Huarong YE
;
Ge ZHANG
Author Information
1. 武汉亚洲心脏病医院心血管内科,湖北武汉 430022
2. 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
3. 湖北工业大学电气与电子工程学院,湖北武汉 430068
- Keywords:
blood vessels;
ultrasonography;
singular value decomposition
- From:
Chinese Journal of Medical Imaging Technology
2024;40(10):1582-1587
- CountryChina
- Language:Chinese
-
Abstract:
Objective To observe the effect of extracting different speed contrast-enhanced ultrasound(CEUS)signals using singular value decomposition filtering and implementing fused imaging for improving visualization of microvascular structures.Methods Singular value decomposition and filtering were performed on 200 frames of mouse subcutaneous tumor and 250 frames of human liver CEUS image datasets.The singular value inflection point was used as the threshold for separating low-speed and high-speed contrast signals by exponential projection of singular values on the singular value sequence.The low-speed and high-speed signals in dataset were extracted,and dual-modal fusion imaging was performed on the processed images.The image resolution differences of ultrasound microvascular imaging regions with different flow velocities were evaluated.Results The high-speed blood flow images processed by the high singular value sequence range retained the fast-moving contrast signals which mainly showed the thicker blood vessel structures,while the low-speed blood flow images processed by the low singular value sequence range retained the low-speed moving contrast signals which reflected the microvascular structures on high singular value images.The fusion imaging displayed microvascular network more completely.Conclusion Appropriate selection of singular value range was crucial to optimization of CEUS images using singular value decomposition filtering.Fusion imaging was beneficial to improving visualization of microvascular structures.
