Robot platform for ultrasound scans (RoPCA)

ropca_platform

The Robot ROPCA Ultrasound (RU) will be further developed for use in the clinical workday at Odense University Hospital.

The Robot Platform will be used for diagnostics and assessment of rheumatoid arthritis (RA) and deep vein thrombosis (DVT).

The robot consists of an arm attached to a table with a glass plate where the patient places the hand that needs to be scanned. Sensors on the robot analyses or “feels” the hand to ensure that the right places are scanned without putting too much pressure on the hand. After each scan the data is saved and analysed and given a score based on the rheumatoid activity in the hand.

AIM

The aim is for RU to ensure a systematic and uniform method for performing the ultrasound scan, which will give the doctors the best possible basis for creating a treatment plan. Such a systematic scan is not possible today, and the doctor’s maunual scan is not correspondingly accurate or systematic.

The scanning robot has many potentials, when perfected. The idea is that it should also be used for diagnostics of other diseases, i.e. at the cardiac unit or in the emergency room.

RESULTS

The project has resulted in the company Ropca Holding Aps which will continue working with the technology and turn the prototype into a finished product.

 Mette Maria Skjøth

DATE

Start: spring 2017
End: 2020

READ MORE

Read more about the technical aspects of the project on the RoPCA website.

PARTNERS

Robot platform for ultrasound scans (RoPCA)

The robot will be developed by engineers from SDU Robotics, the Maersk Mckinney Institute in close collaboration with the clinical personnel at OUH and the innovation consultants in CIMT.

EXTERNAL FUNDING

In the spring of 2017, scientists from SDU and OUH were awarded DKK 2 million under the strategic research focus area of welfare innovation to develop and test the new robot platform to make it usable in the daily practice at the hospital.

CONTACT

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Mette Maria Skjøth

Mette Maria Skjøth

Project manager, PhD | (+45) 2057 5043 | [email protected]