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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Knee SegmentationThe 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. This new computer assisted tool will help to diagnose and monitor individual patient, but also to provide quantitative information to assess efficacy of new therapies for on osteoarthritis. Learn More... |
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Alzheimer's DiseaseThe 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. Structural information from MRI is combined with functional and molecular information from PET. Our goal is to provide a complete assessment of individual patients and a better characterisation of disease progression, bench-marked against healthy typical brains computed from large longitudinal study databases. Learn More... |
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Prostate RadiotherapyThis 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. The main benefit will be to improve treatment outcomes by reducing radiation dosage to normal tissues, and increasing dosage to the prostate. Learn More... |
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Characterization of new PET imaging agentsNovel positron imaging contrast agents can be designed in large numbers to bind specific targets in vivo, and need to be screened and characterised. We are developing image processing methods to automatically segment organs from small rodents and estimate the main pharmaco-kinetics parameters of the new imaging compounds by using small animal SPECT, PET and CT systems. |
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Brain CancerBrain Cancer is a particularly serious disease. It usually returns within a year after surgery despite the the use of modern treatments such as radio- and chemo-therapy. The use of imaging technology can help to target surgery and additional treatments better. Learn More... |
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MILX View SoftwareOver the years we have implemented a large number of medical imaging algorithms under a common development platform: MILX View. 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. MILX View expands on algorithms provided by the Insight Tool Kit (ITK), the Visualisation Tool Kit (VTK), and other open source libraries. Learn More... |

Medical Image Analysis
Alzheimer's Disease
