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IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...

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Summary

This summary is machine-generated.

A new neural network-based nondestructive ultrasound molecular imaging (USMI) approach offers real-time clinical potential. This method achieves high accuracy and outperforms traditional destructive methods, especially during transducer motion.

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Area of Science:

Medical Imaging
Biomedical Engineering
Artificial Intelligence in Medicine

Background:

Ultrasound molecular imaging (USMI) uses targeted microbubbles (MBs) to detect disease biomarkers.
Current state-of-the-art USMI, differential targeted enhancement (DTE), requires destructive pulses, limiting real-time clinical use.

Purpose of the Study:

To develop and validate a neural network-based nondestructive USMI technique.
To enable real-time, free-hand molecular imaging for clinical applications.

Main Methods:

Developed a neural network for nondestructive USMI, trained on extensive data (15,350 patches) using augmentation strategies.
Validated in vivo using a transgenic mouse model of spontaneous breast cancer.
Compared performance against destructive differential targeted enhancement (DTE) and contrast-enhanced ultrasound (CEUS) reference images.

Main Results:

Nondestructive USMI demonstrated high correlation (0.954) with DTE and superior AUC (0.954) compared to DTE (0.845) against a CEUS reference.
Achieved a continuous Dice coefficient of 0.863 for molecular signal coverage.
Outperformed DTE in AUC (0.953 vs. 0.892) under transducer motion, indicating potential for free-hand imaging.

Conclusions:

Nondestructive USMI shows comparable performance to DTE under stationary conditions.
This novel approach offers superior performance to DTE during transducer motion, highlighting its clinical imaging potential.
The developed technique paves the way for real-time, non-destructive molecular imaging in clinical settings.