A method for detecting microvessel perfusion based on ultrasound contrast agent

A new technique for microvessel perfusion detection is proposed that employs the decorrelation property of ultrasound contrast agent. To evaluate this method, we performed experiments on flow mimic phantom and capillary phantom systems. The experimental data were processed with four different DCR decorrelation algsorithms, comparison of which was performed. An optimal algorithm was chosen for perfusion image construction on a blow mimic and capillary flow phantom, respectively. The two - dimension DCR images of phantoms were compared with B mode images. The factors that impact DCR detection were discussed in different aspects. The result show that the DCR method can detect and imaging the areas of phantom containing contrast microbubbles effectively.