Geometric Localisation in Medical Imaging
Patent Abstract
A geometric ultrasound localisation microscopy method is provided according to one embodiment for localising microbubbles. The proposed method uses a novel geometry framework for microbubble localisation through ellipse or ellipsoid intersections to overcome limitations inherent to beamforming. This approach provides a finer distinction between overlapping and clustered spots, improving localisation precision, reliability, and computation efficiency. The present invention thus challenges the conventional wisdom that beamforming is necessary for ULM and proposes a novel beamformer-free approach that according to one example relies on time difference of arrival information between echoes for microbubble localisation.
Simple SummaryContent extracted from patent full text and abstract with AI.
This invention introduces a novel geometric localisation method for medical imaging, specifically for localising microbubbles used in ultrasound localisation microscopy (ULM). Instead of the traditional beamforming approach, the method uses a geometry-based system relying on the intersection of ellipses (or ellipsoids) constructed from echo time-of-arrival data from multiple sensors. This enables more precise, reliable, and efficient localisation of microbubbles or small particles within the body, without needing expensive or computationally heavy beamforming algorithms.
Use CasesContent extracted from patent full text and abstract with AI.
- High-resolution imaging of vascular structures in organs (e.g., liver, kidney, brain) to assist in disease diagnosis.
- Differentiation and diagnosis of tumor types, such as in kidney or breast cancer detection.
- Functional imaging of neurovascular activity (e.g., brain activity mapping).
- Tracking and monitoring microbubbles or particles in contrast-enhanced ultrasound exams.
- Potential application to localisation tasks in other imaging modalities like MRI or CT, where precise spatial mapping of particles is needed.
- Guidance for minimally invasive surgeries and targeted therapy using precise microbubble detection.
BenefitsContent extracted from patent full text and abstract with AI.
- Increases localisation precision and reliability for medical imaging, surpassing beamforming limitations.
- Reduces computational burden and memory requirements by removing the need for beamforming.
- Enhances detection of overlapping and clustered microbubbles or particles, improving image clarity.
- Broadens application scope by not being limited to specific transducer geometries or arrangements.
- Improves real-time imaging capabilities due to faster and more efficient processing.
- Facilitates easier implementation in portable or resource-constrained imaging devices.
Technical Classifications (CPCs)
Main Classifications
Health, Food & Consumer Tech
Sub Classifications
Medical & Vet Science
CPC Codes
Inventors & Applicants
Inventors
Christopher Hahne
Raphael Sznitman
Applicant(s)
Univ Bern
Key Information
Publication No.
EP4467081A1
Family ID
86497634
Publication Date
2024-11-27
Application No.
EP23174686A
Application Date
2023-05-22
Priority Date
2023-05-22
Granted
No
Possible Cooperation
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