Ultrasound vector flow imaging combined with singular value decomposition filtering for depicting deep microvasculature flow velocity of liver
10.13929/j.issn.1003-3289.2024.02.026
- VernacularTitle: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
- Author:
Huarong YE
1
;
Yi TIAN
;
Qi WANG
;
Jing YU
;
Bingsong LEI
;
Haiman HU
;
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
- Keywords:
liver;
blood vessels;
singular value decomposition;
ultrasonography
- From:
Chinese Journal of Medical Imaging Technology
2024;40(2):280-284
- CountryChina
- Language:Chinese
-
Abstract:
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.
