Arc Transducer Endocavity Ultrasonic Probe for Wider 3D FOV
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Solution Overview
Problem
Existing endocavity ultrasonic probes are limited by a maximum transducer oscillation angle of approximately 120° and imaging angle of less than 180°, restricting the field of view (FOV) of 3D images, particularly in applications requiring extensive visualization such as obesity cases.
Innovation Solution
The design includes a transducer element layer arranged in an arc surface with an angle greater than 180°, a swing axle integrated into the backing layer's accommodating space, and a transducer support allowing a swing angle of at least 180°, optimizing the scanning range and reducing overall volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the transducer oscillation angle is increased to expand the FOV, then the field of view of 3D images is improved, but the probe structure becomes more complex and larger
Solution Approach 1:
The transducer element layer is arranged in an arc surface configuration with a central axis, enabling the transducer to achieve a scanning angle greater than 180°. This curved arrangement allows the transducer to oscillate around the central axis while maintaining element alignment, thereby expanding the field of view without requiring a mechanically complex probe structure.
Solution Approach 2:
The invention transitions from a linear transducer arrangement to an arc surface configuration, adding a dimensional aspect to the element layout. This dimensional change enables the transducer to capture ultrasonic images from multiple angles simultaneously during oscillation, effectively expanding the 3D image field of view without proportionally increasing probe complexity.
2Area of stationary object
If the transducer scanning angle is increased to expand the FOV, then the visualization capability is improved, but the probe volume increases
Solution Approach 1:
By arranging transducer elements along an arc surface with a appropriately chosen radius of curvature, the design achieves a scanning angle greater than 180° while maintaining a compact probe form factor. The curved geometry allows the transducer to cover a wider angular range without linearly increasing the probe's physical dimensions.
Solution Approach 2:
The invention optimizes geometric parameters including the arc radius, element distribution along the arc, and oscillation amplitude to achieve maximum scanning angle within constrained probe dimensions. By carefully selecting these parameters, the system expands the field of view while controlling the overall probe volume.
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
Expands the 2D ultrasonic scanning range and scanning angle, thereby increasing the FOV of 3D images, enhancing visualization capabilities without increasing the probe's external dimensions.
Implementation Method 1
a transducer, wherein the transducer comprises a backing layer, a transducer element layer, a matching layer and a lens layer
Implementation Method 2
the lens layer is disposed on the side of the matching layer that is opposite to the transducer elements
Data Source
AI summary
A hand pose recognition method is performed by a computer device, including: acquiring a current frame of a multi-lens video of a target object; performing hand detection on a first view of the current frame to obtain a first lens detection result; performing hand estimation on a second view of the current frame to obtain a second lens estimation result; removing, from the hand detection boxes in the first view and the hand estimation boxes in the second view, redundant boxes corresponding to redundant hands, and then performing hand joint point recognition on remaining boxes to obtain two-dimensional joint points; converting the two-dimensional joint points into three-dimensional joint points in a three-dimensional hand coordinate system; and converting the three-dimensional joint points in the three-dimensional hand coordinate system into three-dimensional joint points of the current frame in a world coordinate system according to pose estimation parameters corresponding to the current frame.