Program 1

IN SILICO UPPER EXTREMITY MODELLING AND SIMULATION

The broad goal of this program is to develop a computational framework for modelling shoulder function in both healthy people and those with shoulder dysfunction. This includes developing anatomical models of shoulder anatomy across the population, and models of bony and soft tissue mechanics in activities of daily life and after injury and surgery. These models will then be adapted for designing shoulder implants, planning shoulder surgeries, and clinical decision-making. 

Program 1 Co-Lead

Senior Principal Research Scientist
UNSW Neuroscience Research Australia
E: l.bilston@neura.edu.au

Program 1 Co-Lead

Prof & Chair Biomedical Engineering
Faculty of Engineering, QUT
E: peter.pivonka@qut.edu.au

Program 1 Co-Lead

Prof & Chair Biomedical Engineering
Faculty of Engineering, QUT
E: peter.pivonka@qut.edu.au

POST-DOC FELLOW

Hidden element

Maria is a research fellow in the School of Mechanical, Medical and Process Engineering and a research engineer in the School of Electrical Engineering and Robotics, at the Queensland University of Technology. Her research is focused on advanced tissue recognition methods, such as deep learning techniques, for the automatic interpretation of medical imaging. 

Maria is currently also a QUT PhD candidate in the Medical Robotics Group at the QUT, focusing on automatic image analysis to provide surgical guidance to autonomous robots in the framework of minimally invasive surgery.  Prior to her PhD candidature, she received her BEng. in Engineering Sciences from the University of Rome Tor Vergata (Italy) in 2014 and MEng. in Biomechanical Engineering from the Technical University of Delft (The Netherlands) in 2016.

Post-Doc Fellow

Bart Bolsterlee

Hidden element

Dr Bart Bolsterlee is a mechanical and biomedical engineer with specific expertise in imaging and biomechanical modelling of the human musculoskeletal system. During his PhD he developed and evaluated tools for computational modelling of the human upper limb. As a postdoctoral researcher at NeuRA, he pioneered methods to reconstruct and quantify the three-dimensional architecture of human skeletal muscles from magnetic resonance and diffusion tensor imaging data.

PhD Student

Max Lavaill

Hidden element

“Investigation on patient-specific features of shoulder MSK modelling. Study of an MRI-based EMG-driven model.”

PhD Student

Xiaolong Fan

Hidden element

“Evaluation of proximal humerus bone density on implant fixation in Shoulder Arthroplasty”

PhD Student

Michael Lennon

Hidden element

Developing 3-dimensional statistical shape models that represent the natural variability of the human shoulder joint across populations. Examine applications of statistical shape models to enhance planning for shoulder joint replacement surgery.  Exploring the use of population representative statistical shape models for in-silico implant trials to improve the design cycle of the artificial shoulder prosthesis”.

PhD Student

Yilan Zhang

Hidden element

“Magnetic resonance imaging (MRI) protocols and analysis pipelines for automated reconstruction of shoulder anatomy.”

PhD Student

Hossein Ahmadi

Hidden element

“3D finite element models of the shoulder muscles to examine the effects of soft tissue tensioning and muscle activation on joint loading and stability.”

POST-DOC FELLOW

Hidden element

Maria is a research fellow in the School of Mechanical, Medical and Process Engineering and a research engineer in the School of Electrical Engineering and Robotics, at the Queensland University of Technology. Her research is focused on advanced tissue recognition methods, such as deep learning techniques, for the automatic interpretation of medical imaging. 

Maria is currently also a QUT PhD candidate in the Medical Robotics Group at the QUT, focusing on automatic image analysis to provide surgical guidance to autonomous robots in the framework of minimally invasive surgery.  Prior to her PhD candidature, she received her BEng. in Engineering Sciences from the University of Rome Tor Vergata (Italy) in 2014 and MEng. in Biomechanical Engineering from the Technical University of Delft (The Netherlands) in 2016.

Intellectual Property and Commercialisation

The MB-CRC’s prime objective is to provide a cooperative platform to accelerate the translation of marine bioproduct discoveries and create an energetic and expansive bio-economy industry in Australia, through adoption of the MB-CRC’s IP, processes and candidate products.