Network-based ultrasound imaging system
Inventors
Call, Josef R. • Davis, Henry A. • Smith, David M. • Specht, David J. • Le, Viet Nam • McHardy, Lang J. • DIGIOVANNI, II, Joseph James • Osborn, Nathan W. • RITZI, Bruce R.
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Assignees
MAUI ImagingMAUI Imaging develops ultrasound-based medical imaging solutions designed to overcome the limitations of traditional ultrasound, particularly in visualizing anatomy beyond bone, air, and metal barriers. Founded in 2006, the company has pioneered Computed Echo Tomography (CET) to enable diagnostic imaging in settings where conventional CT or MRI are impractical. With over 160 patents granted and FDA clearance for its K3900 system, MAUI Imaging targets applications in trauma medicine, critical care, neurosurgery, and interventional radiology, aiming to enhance timely diagnostics and interventions in both civilian and military environments.
MAUI Imaging develops ultrasound-based medical imaging solutions designed to overcome the limitations of traditional ultrasound, particularly in visualizing anatomy beyond bone, air, and metal barriers. Founded in 2006, the company has pioneered Computed Echo Tomography (CET) to enable diagnostic imaging in settings where conventional CT or MRI are impractical. With over 160 patents granted and FDA clearance for its K3900 system, MAUI Imaging targets applications in trauma medicine, critical care, neurosurgery, and interventional radiology, aiming to enhance timely diagnostics and interventions in both civilian and military environments.
Abstract
Systems and methods for network-based ultrasound imaging are provided, which can include a number of features. In some embodiments, an ultrasound imaging system images an object with three-dimensional unfocused pings and obtains digital sample sets from a plurality of receiver elements. A sub-set of the digital sample sets can be electronically transferred to a remote server, where the sub-set can be beamformed to produce a series of two-dimensional image frames. A video stream made up of the series of two-dimensional images frames can then be transferred from the remote server to a display device.
Core Innovation
The invention relates to transmitting an unfocused three-dimensional ping into an object from a transmitter element of a transducer array in a data capture device, receiving echoes from one or more reflectors with a plurality of receiver elements, and converting analog signals into a dataset of digital sample sets from all the receiver elements. The data capture device performs local beamforming and image generation with first beamforming and image generation parameters to generate a first ultrasound image, and displays the first ultrasound image to a first operator of the data capture device.
The invention further includes communicating at least a portion of the dataset of digital sample sets to a network-based image generation system, and beamforming the dataset remotely with second beamforming and image generation parameters different than the first beamforming and image generation parameters to generate a second ultrasound image. The network-based image generation system then displays the second ultrasound image to a second operator of the network-based image generation system.
In example architectures, the data capture device stores raw un-beamformed echo data from transmit and receive elements, and the remote server performs beamforming and voxel formation to generate series of two-dimensional image frames. The disclosed operation supports live imaging mode with reduced data communicated, and high quality data capture mode where full digital sample sets are stored and later transferred for near real-time or time-shifted higher-quality re-beamforming, including selecting sample subsets using image windows or slicing planes, and combining image layers.
Claims Coverage
The independent claim is a method claim that includes local beamforming and operator display at the data capture device, communication of a dataset to a network-based image generation system, and remote beamforming with different parameters to generate and display a second ultrasound image. The dependent claims specify multiple inventive ways to implement differences between the first and second beamforming and image generation parameters, and include constraints on preserving what the first operator sees.
Unfocused three-dimensional ping transmitted and echoed with transducer array digital sample sets
Transmitting an unfocused three-dimensional ping into an object from a transmitter element of a transducer array in a data capture device; receiving echoes from one or more reflectors with a plurality of receiver elements; converting analog signals from each receiver element into a dataset of digital sample sets from all the receiver elements.
Local beamforming and displaying first ultrasound image to first operator
Beamforming the dataset of digital sample sets locally with the data capture device with first beamforming and image generation parameters to generate a first ultrasound image; displaying the first ultrasound image to a first operator of the data capture device.
Communicating dataset to network-based image generation system and remote beamforming with different parameters
Communicating at least a portion of the dataset of digital sample sets to a network-based image generation system; beamforming the dataset of digital sample sets remotely with second beamforming and image generation parameters different than the first beamforming and image generation parameters to generate a second ultrasound image; displaying the second ultrasound image to a second operator of the network-based image generation system.
Parameter difference implemented by pan window adjustment
Implementing the difference between the first beamforming and image generation parameters and the second beamforming and image generation parameters as an adjustment to a pan window.
Parameter difference implemented by weighting factors adjustment
Implementing the difference between the first and second beamforming and image-generation parameters as an adjustment to weighting factors.
Parameter difference implemented by adjusting image layer combining algorithms
Reflecting the difference between the first and second beamforming and image generation parameters in adjusting image layer combining algorithms.
Parameter difference implemented by adjusting speed-of-sound values
Implementing the difference between the first and second beamforming and image generation parameters by adjusting speed-of-sound values.
Remote beamforming does not change first ultrasound image displayed to first operator
Remotely beamforming the dataset with a network-based image generation system does not change the first ultrasound image displayed to the first operator.
Across the independent method claim and its dependents, the core coverage is end-to-end transmission of unfocused 3D ping-derived digital sample sets from local acquisition to a network-based image generation system, enabling local beamforming to produce and display a first image, then remote beamforming with different parameters to produce and display a second image, with parameter-difference mechanisms including pan window, weighting factors, image layer combining algorithms, and speed-of-sound values, while also maintaining that remote beamforming does not change the first image shown to the first operator.
Stated Advantages
Enables live imaging mode with reduced data communicated and higher-quality data capture mode using full datasets for near real-time or time-shifted higher-quality re-beamforming.
Supports generating a second ultrasound image using remotely re-beamformed datasets with different beamforming and image generation parameters.
Maintains a constraint that remote beamforming does not change the first ultrasound image displayed to the first operator.
Documented Applications
Network-based ultrasound imaging with a data capture device and remote server that stream generated two-dimensional image frames as video to a display device/viewer terminals.
Live imaging mode and high quality data capture mode, including near real-time or time-shifted higher-quality re-beamforming from full digital sample datasets.
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