Impact of singular value decomposition filter combined with Frangi filter on image quality of superb microvascular imaging
Objective To observe the impact of singular value decomposition(SVD)filter combined with Frangi filter on image quality of superb microvascular imaging(SMI).Methods Contrast-enhanced ultrasound(CEUS)was performed in a phantom and a patient with suspected liver hemangioma.Images in group A were processed with SVD filter,while in group B,C and D with Frangi filter,Frangi+SVD filter and SVD+Frangi filter,respectively,then image quality of SMI were compared.Results Contrast-to-tissue ratio(CTR),contrast-to-noise ratio(CNR)and signal-to-noise ratio(SNR)of A,B,C and D group were all higher than those of original CEUS images.Compared with the original CEUS images,the image quality indexes and image resolution of group D were most significantly improved,with CTR,CNR and SNR increased by 58.04,3.39 and 48.04 dB of the phantom,as well as increased by 61.85,16.80 and 49.67 dB of the patient,respectively.The resolution of the phantom's and the patient's SMI images was 1.42 times and 1.98 times of the original CEUS images,respectively.Conclusion SVD filter combined with Frangi filter could effectively improve image quality of SMI.
hemangiomaultrasonographyimage qualitysingular value decompositionFrangi filter
万方数据
维普
