Future Features

Research and Development

Where we would like to take Videometrics…

Videometrics has a program of ongoing research and development to further optimise the diagnosis of bladder cancer and improve patient care. It is possible that not everything described here will make it into clinical practice, but we’re pretty excited about the potential!

Image enhancement

Contrast enhancement: Allows the examiner to see more from a white light cystoscopy without the need for new equipment.

Frame enhancement: Builds a clearer, higher resolution image from many video images.

Debris removal: Remove debris from the video image, allowing a clearer view of the walls of the bladder. As you can see in this video, it’s like a magic viewing glass!

image enhancement from Videometrics

Left: Original image during cystoscopic examination. Centre: Debris removal. Right: Contrast and frame enhanced version and debris removal. Note – currently the technique only applies to the area inside the circle.

Bladder Mapping

We are exploring how to build a map of the patient’s bladder. It would allow:

  • Verification that the whole bladder has been reviewed.
  • Quick and efficient identification of the location of a potential cancer for biopsy.
  • Monitoring across multiple sites within the bladder.
  • Monitoring of sites of concern over time.

Bladder mapping future feature of Videometrics

Above: This example only shows some of the bladder for technical reasons.

Targeted feature recognition

Currently in the early research phase is an artificial intelligence system for the automatic recognition of areas of concern and identifying these to the examiner. Note in the video how the software has locked on to the problem area.

Targeted feature recognition is currently in the research phase.

Videometrics is developed to address challenges within the cystoscopy clinic. If you have suggestions for new features, or would like to be involved in a clinical study of the features above, please get in touch.

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