研究目的
To develop a fast scheme of multiparametric perfusion functional imaging (PFI) based on dynamic contrast-enhanced ultrasound (DCEUS) for assessing renal microvascular hemodynamics.
研究成果
The fast PFI scheme significantly improved operational efficiency by 62.82% while maintaining acceptable imaging quality (CIQ=0.26). It accurately characterized renal microvascular hemodynamics and can be used for early diagnosis and monitoring of chronic kidney disease.
研究不足
The proposed CIQ model had a low correlation coefficient (R2=0.73) and its robustness was limited by subjective scoring and incomplete quantitative indexes for color-coding PFI. Further clinical verifications are needed.
1：Experimental Design and Method Selection:
The study modified the flow process of DCEUS-based PFI step-by-step to improve operational efficiency, validated through in vivo renal perfusion experiments. A multiparametric model with a coefficient of imaging quality (CIQ) was built to evaluate imaging quality during modifications.
2：Sample Selection and Data Sources:
In vivo renal perfusion experiments were conducted on healthy rabbits. Renal 3D DCEUS sequences (n=17) were collected with a size of 480x320 pixels and a time scale of 875 frames.
3：List of Experimental Equipment and Materials:
A modified ultrasound platform (G50/M80, Vinno Inc.) with a convex array scanner (G2-5C, Vinno Inc.), microbubble dilution (SonoVue, Bracco), and a personal laptop (ThinkPad X250, Lenovo) with MATLAB software.
4：Experimental Procedures and Operational Workflow:
Rabbits were anesthetized, and microbubbles were injected. DCEUS sequences were recorded in sagittal and coronal planes. TICs were processed, filtered, and analyzed to reconstruct PFIs. Modifications involved removing steps like TIC fitting and filtering.
5：Data Analysis Methods:
Data were analyzed using least squares regression, correlation analysis, F and t tests in MATLAB. The CIQ model was used to evaluate imaging quality.
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