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Researchers giving awareness and sight to medical robots

Photo: Researchers giving awareness and sight to medical robots
Dr Ajay Pandey is a Senior Lecturer in Robotics and Autonomous Systems at QUT’s School of Electrical Engineering and Computer Science who is among a team of robotics and health researchers testing the new technology.

Dr Pandey said combining advancements in miniature camera technology, 3D ultrasound and machine learning, the project can provide unparalleled situational awareness to medical robots.

“Procedures such as meniscal repair and anterior cruciate ligament (ACL) in knee arthroscopy require extreme care,” he said.

“Advancing the medical imaging technology will greatly enhance surgeons’ clinical abilities and drastically lower the physical footprint and the cost of surgical procedures.

Dr Davide Fontanarosa (pictured right with PhD student Maria Antico) is a senior lecturer in medical radiation sciences from the Faculty of Health. He said ultrasound had many benefits and was the only real-time modality compatible with operating theatres or radiotherapy bunkers.
“Tendons and ligaments, despite their many structural similarities, and several other soft tissues can be distinguished in ultrasound images,” Dr Fontanarosa said.

“Ultrasound imaging is portable, completely harmless to patients and avoids side-effects such as claustrophobia but requires lengthy training to be able to interpret and use it.”

Previous published research revealed a survey of Australian surgeons where nearly 50% of them acknowledged “inadvertent damage” to cartilage tissue during one in 10 arthroscopic knee procedures.

The team includes Chair in Orthopaedic Research and Director of Medical Engineering Research at QUT Professor Ross Crawford and Chief Investigator for the Australian Centre for Robotic Vision Professor Jonathan Roberts.

Medical robotics continues to gain significant traction within the surgical field, with the team’s review published in Medical Image Analysis with other co-authors including PhD student Maria Antico, Dr Fumio Sasazawa, Dr Liao Wu, Dr Anjali Jaiprakash.

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