Platform for High-Quality 3D Elasticity Ultrasound

The Johns Hopkins University seeks a partner to commercialize a new platform for generating high-quality elasticity ultrasound images. The system uses a novel set of algorithms that integrate with traditional ultrasound machines to produce highly accurate and stable segmentation of areas with high or low tissue stiffness relative to the surrounding tissue.

Click here to view high-quality marketing materials. Description (Set) • Ultrasound (US) elastography (strain imaging) suffers from a number of technical challenges:
1. Computational complexity 2. Lack of 3D volumetric images 3. Signal-to-noise ratio 4. Segmentation
• Current US strain imaging is accurate only 13.3% of the time, and actually overestimates ablation coverage one-third of the time.
• Newly developed algorithms utilize 2D ultrasound images acquired from traditional ultrasound scanners to compute 3D elastography images in real time.
• The fidelity of the collected images is quite high due to a novel form of data collection and methods for computing in-plane and out-of-plane motion, which dramatically improves accuracy.
• Highly accurate imaging helps the surgeon by:
1. Monitoring the extent of the applied ablative therapy in three dimensions 2. Planning the optimal use of multiple ablations to cover the original target tumor 3. Providing useful data for deciding when to terminate the procedure Proposed Use (Set) Ultrasound imaging Patent (Set) 11/905,501

Inventor(s): Boctor, Emad Moussa

Type of Offer: Licensing



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