On-going Medical Image Analysis projects cover a wide range of imaging modalities (Magnetic Resonance Imaging, Positron Emission Tomography, Computerised Tomography, ultrasound, optical imaging) and aim at fusing anatomical, functional and molecular information. Our approach is to embed into image processing algorithms expert knowledge from physiology, biology, pathology, and the physics of the imaging acquisition. We are developing novel shape, signal, and anatomical models at different levels: body, organ, and tissue.
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The aim of the Alzheimer's disease project is to develop algorithms and software to process and analyse MRI and PET scans both qualitatively and quantitatively. It is part of a larger CSIRO and Federal Government project: the Australian Imaging Biomarkers and Lifestyle study (AIBL). Structural information from MRI is combined with functional and molecular information from PET.
Go to the Alzheimer's Disease project page
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This project aims to develop methods to use high contrast MRI scans directly for prostate cancer radiotherapy treatment planning. A CT scan from the same patient will not be required, as the prostate will be automatically delineated and electron densities are assigned directly from MRI values.
Go to the Prostate Therapy project page
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The goal of the Knee Segmentation project is the development of an automated 3D segmentation system for MR images of the knee. The primary aim of this system is to obtain accurate and robust segmentation results for the cartilages of the knee.
Go to the Knee Segmentation project page
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Brain Cancer is a particularly serious disease, usually returning within a year of surgery despite radical treatments with radio-therapy and chemo-therapy. The use of imaging technology can help to target surgery and additional treatments more effectively.
Go to the Brain Cancer Project page
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Over the years we have implemented a large number of medical imaging algorithms under a common development platform: MILXView. This allows us to develop new functions based on the existing code base in a time efficient manner, while enforcing a Software Engineering environment that ensures maintainable and tested code.
Go to the MILXView project page
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Last Updated on Friday, 07 October 2011 14:16