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The Technology Partnership, Plc.

William Henry Gomersall

Paul Mark Galluzzo

Mikhail Evgen'evich Bashtanov

A treatment device includes a unit having an ultrasound imaging element and an ablation electrode, mechanism for receiving signals from the imaging element, the signals representing plural frames of ultrasound data; and mechanism for processing the signals to provide, in use, at least one of ultrasound data and data indicating mechanical strains within tissue being monitored by the sensor element, the strains being generated by movement of the tissue or the body being treated, the movement being generated naturally by the tissue or by the device operator's motion, or both.

Ablation treatment device sensor

Apparatus for producing image data representing a specimen being imaged using ultrasound includes a processor and memory. The processor receives input data representing output from an ultrasound probe, and performs an iterative algorithm on the input data until a converged estimate of the mean of the distribution of the image data is reached. This estimate is used to produce output image data for display. The algorithm uses a first matrix that is dependent upon attributes of the probe and upon the way in which the input data was produced, and a second matrix that is the inverse of the sum of: a positive scalar matrix having the same dimensions as the first matrix, and the product of a Hermitian transpose of the first matrix and the first matrix. One step of the algorithm uses the second matrix as a preconditioner.

Deriving image data from data received from an ultrasound probe

Apparatus for producing image data representing a specimen being imaged using ultrasound includes a processor and memory. The processor receives input data representing output from an ultrasound probe, and performs an iterative algorithm on the input data until a converged estimate of the mean of the distribution of the image data is reached. This estimate is used to produce output image data for display. The algorithm updates estimates for the image data, the echogenicity of the image data, and the variance of the noise of the image data. The step of updating the variance of the noise of the image data uses an update rule that assumes the noise to be varying across the image data but locally invariant for any small enough region of the image data.

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Oxford, United Kingdom

William Henry Gomersall