2D CMUT Ultrasound Array Layout for Imaging Under Ribs
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Solution Overview
Problem
Conventional one-dimensional ultrasound transducers struggle to accurately image human organs inside the thoracic cavity due to limitations in generating clear 2D images, leading to potential false diagnostics and requiring time-consuming and error-prone movements, especially when dealing with ossified or non-ossified ribs.
Innovation Solution
The development of two-dimensional ultrasound transducers with a 2D array design using Capacitive Micromachined Ultrasonic Transducers (CMUT) technology, employing a sparse and randomly distributed element arrangement based on compressive sensing principles, allowing for full-azimuth illumination and advanced beamforming techniques to enhance imaging capabilities and signal-to-noise ratio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a one-dimensional transducer is used, then the device complexity is low, but the imaging accuracy and diagnostic reliability deteriorate due to inability to clearly image organs behind ribs
Solution Approach 1:
The patent transitions from a one-dimensional linear array transducer to a two-dimensional matrix array transducer. This dimensional change enables full-azimuth illumination and acquisition of complete 3D ultrasound data, allowing accurate imaging of organs behind ribs without the limitations of 1D scanning approaches.
Solution Approach 2:
The 2D transducer divides the imaging space into multiple elements arranged in a matrix pattern. Each element can independently transmit and receive ultrasound signals, enabling sophisticated beamforming techniques and providing redundant sampling paths around rib structures to improve imaging accuracy through multiple angles.
2Device complexity
If a one-dimensional transducer is used, then the device simplicity is maintained, but the productivity deteriorates due to time-consuming repeated movements required for imaging
Solution Approach 1:
The 2D matrix array transducer enables continuous full-azimuth illumination of the imaging target without requiring repeated probe movements. All elements can transmit and receive simultaneously or in coordinated sequences, continuously acquiring ultrasound data from multiple angles to generate complete 3D images in a single positioning.
Solution Approach 2:
The transducer elements are pre-positioned in a 2D matrix pattern that provides optimal coverage of the imaging field. Beamforming weights and timing are pre-calculated to enable rapid switching between different imaging planes and angles, eliminating the need for time-consuming manual repositioning during the imaging process.
3Device complexity
If a one-dimensional transducer is used, then the ease of operation is maintained, but the reliability deteriorates due to error-prone repeated movements
Solution Approach 1:
The patent replaces mechanical probe movement with electronic beam steering and focusing capabilities of the 2D matrix array. By electronically controlling the timing and phase of each element, the system can rapidly switch between different imaging angles and planes without physical repositioning, eliminating operator-induced positioning errors and improving diagnostic reliability.
4Ease of manufacture
If a two-dimensional transducer with sparse random element distribution is used, then the manufacturing cost and complexity are reduced, but the imaging quality must be maintained through advanced signal processing
Solution Approach 1:
The patent changes the element distribution parameter from a dense regular grid to a sparse random pattern. This reduces the total number of elements required while maintaining imaging capability through compressive sensing principles. Advanced signal processing algorithms reconstruct high-quality images from the undersampled data, achieving comparable or superior image quality with fewer elements.
Solution Approach 2:
The patent introduces advanced signal processing algorithms as an intermediary between the sparse sensor array and the final image. These algorithms, based on compressive sensing and iterative reconstruction techniques, fill in the missing information from the sparse sampling pattern, enabling high-quality image reconstruction with reduced hardware complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate imaging of organs under the ribs without the need for repeated movements, improving diagnostic accuracy, reducing acquisition time, and enhancing signal-to-noise ratio through full-azimuth illumination and advanced 3D imaging algorithms like 3D Kirchhoff migration.
Implementation Method 1
a plurality of Capacity Micromachined Ultrasonic Transducers distributed across the two-dimensional body, wherein each element is capable of transmitting and receiving a plurality of sound waves
Data Source
AI summary
The present application pertains to two-dimensional ultrasound transducers and systems, methods of making such transducers and systems, and methods for using such transducers and systems including processing of data acquired with such devices and systems.