It is an exciting era for medical ultrasound.  Recent developments in deep learning (artificial intelligence) and medical robotics have started to show measurable improvement in assisting ultrasound examinations, ultrasound-guided interventions, and surgery. These complex medical procedures can incorporate multiple imaging modalities including different ultrasound modes, tracked instruments, human behaviour, and human-computer interactions.  

This SIG provides a forum for identifying, investigating, and solving key challenges and exploring future research directions for the next breakthroughs in medical ultrasound.
 

Mission

SIG-MUS aims to bring together the medical image computing (MIC) and computer-assisted intervention (CAI) communities to work towards the next generation of medical ultrasound imaging methods and systems. We envisage a future for clinical ultrasound that truly combines advances both in MIC and CAI, acknowledging the unique capabilities of ultrasound as an interactive anatomic and functional imaging modality that can be manipulated directly by human operators or robotic systems. This SIG also helps bridge the research and clinical ultrasound communities to design and implement new ultrasound-enabled applications that provide revolutionary healthcare benefits.

SIG-MUS BOARD