Supervisor

Associate Professor Egon Perilli
Perilli, Egon (Associate Professor)
egon.perilli@flinders.edu.au
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Project description

Digital Volume Correlation (DVC) is an image analysis technique capable to quantify internal displacements and strains of a sample under load. The large gantry micro-computed tomography (micro-CT) system installed at Flinders University at Tonsley allows 3D scanning of large samples, including human limbs/segments and prosthetic devices. Pilot scans and DVC analysis of large human bone segments have been performed. Scanning large specimens introduces a number of complications. Rigid co-registration is required to align the reference and deformed image stack before DVC can be undertaken. The error associated with this process is currently not known. The aim of this exciting project is to quantify this error, with the potential for proposing a method to reduce it.

Co-supervisors

https://www.flinders.edu.au/people/lauren.wearne

Assumed knowledge

Elements of mathematics, and, programming. Good communication and report writing skills. Preferred: Medical Physics, Biomedical Instrumentation, use of image processing software (e.g. Image J), Matlab

Supervisors research focus

Associate Professor Egon Perilli, Medical Device Research Institute, Flinders University; Affiliate Lecturer, Discipline of Anatomy & Pathology, School of Medical Sciences, The University of Adelaide; Honorary Fellow, Dept. of Medicine, Austin Health, The University of Melbourne. Between 2008-2011: Senior Research Fellow, Bone & Joint Research Lab, Surgical Pathology, SA Pathology, Adelaide. His research is in 2D and 3D quantitative imaging of bone structure and biomaterials combined with biomechanical testing. The main field of research is in osteoporosis and osteoarthritis. His research projects involve a number of medical imaging techniques, in particular state of the art micro-CT, both in vitro and in vivo, of bone samples and entire bone segments, on human tissue and animal models. These techniques are used for quantitatively determining bone structure at micro and macro level, density and morphometry. The mechanical strength of the bone is determined via experimental testing, for investigating the relationships between bone structural parameters and mechanical properties.


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