Visibility-Driven Data Filtering

Visibility-driven data filtering (VF) is a new method and algorithm for speeding up computationally expensive 3-dimensional convolution filters. The aim is to provide ultrasound companies with a way to implement more advanced filtering methods by reducing processing time.

The visibility filter (VF) rapidly identifies the region of interest in individual voxels and eliminates accompanying noise, providing a cleaner and clearer visualisation of a target area in real time. At present this remains the only visibility-based optimisation filter poised to enter the market.

This advancement represents a paradigm shift, as it is the only approach to reducing the enormous size of the data sets prior to further processing, thus reducing processor occupation and analysis time. This proprietary VF is an algorithm designed to be incorporated into the software, and may be retrofitted into installed software and purchased hardware, thus demonstrating ease of use.

Other projects

Picture of the Hammertech team

In oil and gas production, produced water is a nuisance. Hammertech provides a new, innovative and cost-efficient water fraction detector that identifies water-producing locations.

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Wellmend offers technology that reduces both down time and repair cost for safety valves with faulty control lines.

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A person in front of a screen, working in the program from RPT
Rock Physics Technology

Rock Physics Technology is a digital oil service company delivering a new, innovative software for geologists and geophysicists exploring for oil and gas, called ENTER.

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