17769159. METHOD AND APPARATUS FOR DEEP LEARNING-BASED ULTRASOUND BEAMFORMING simplified abstract (KONINKLIJKE PHILIPS N.V.)

METHOD AND APPARATUS FOR DEEP LEARNING-BASED ULTRASOUND BEAMFORMING

Organization Name

KONINKLIJKE PHILIPS N.V.

Inventor(s)

Faik Can Meral of Mansfield MA (US)

Shyam Bharat of Arlington MA (US)

Grzegorz Andrzej Toporek of Cambridge MA (US)

Carolina Amador Carrascal of Everett MA (US)

Claudia Errico of Cambridge MA (US)

METHOD AND APPARATUS FOR DEEP LEARNING-BASED ULTRASOUND BEAMFORMING - A simplified explanation of the abstract

This abstract first appeared for US patent application 17769159 titled 'METHOD AND APPARATUS FOR DEEP LEARNING-BASED ULTRASOUND BEAMFORMING

Simplified Explanation

The abstract describes an ultrasound imaging system that uses an array of acoustic elements to transmit ultrasound energy into an anatomy and receive ultrasound echoes. A processor circuit then processes the ultrasound channel data to generate beamformed data and create an image of the anatomy for display.

• Ultrasound imaging system with array of acoustic elements
• Processor circuit for processing ultrasound channel data and generating beamformed data
• Image of anatomy created from beamformed data
• Display for outputting the image

Potential Applications

This technology can be used in medical settings for diagnostic imaging, monitoring of pregnancies, and guiding medical procedures.

Problems Solved

This technology allows for clearer and more detailed imaging of anatomical structures, aiding in accurate diagnosis and treatment planning.

Benefits

The benefits of this technology include improved image quality, real-time imaging capabilities, and non-invasive nature of ultrasound imaging.

Potential Commercial Applications

Commercial applications of this technology include medical imaging equipment for hospitals, clinics, and imaging centers.

Possible Prior Art

Prior art in ultrasound imaging includes traditional ultrasound machines and systems that use similar principles for imaging anatomical structures.

How does this technology compare to other imaging modalities in terms of cost-effectiveness and accessibility?

This article does not provide information on the cost-effectiveness and accessibility of this technology compared to other imaging modalities.

What are the limitations of this technology in terms of imaging depth and resolution?

This article does not address the limitations of this technology in terms of imaging depth and resolution.

Original Abstract Submitted

Ultrasound image devices, systems, and methods are provided. An ultrasound imaging system, comprising an array of acoustic elements configured to transmit ultrasound energy into an anatomy in accordance with a first preset acquisition setting, and to receive ultrasound echoes associated with the anatomy; and a processor circuit in communication with the array of acoustic elements and configured to receive, from the array, ultrasound channel data corresponding to the received ultrasound echoes; generate a first set of beamformed data by applying a predictive network to the ultrasound channel data, wherein the first set of beamformed data is associated with a second preset acquisition setting different than the first preset acquisition setting; generate an image of the anatomy from the first set of beamformed data; and output, to a display in communication with the processor circuit, the image of the anatomy.