Novel EEG data mining methods for detecting and monitoring brain injury. The outcomes of this project could ultimately help produce novel technology which would enable bedside monitoring of brain function in patients with brain injuries such as stroke. This technology could aid critical care and treatment of such patients. Hence patients' recoveries could be positively affected and the high death or disability rates associated with such conditions could be reduced. A host of economic and social ....Novel EEG data mining methods for detecting and monitoring brain injury. The outcomes of this project could ultimately help produce novel technology which would enable bedside monitoring of brain function in patients with brain injuries such as stroke. This technology could aid critical care and treatment of such patients. Hence patients' recoveries could be positively affected and the high death or disability rates associated with such conditions could be reduced. A host of economic and social benefits for patients, their families, hospitals and their staff, governments and healthcare organisations could thus result. The developed technology would be non-invasive, compact and relatively inexpensive, and could thus be used in rural and regional hospitals, thereby also benefiting patients in those communities. Read moreRead less
Automatic Brain Tissue Segmentation in Magnetic Resonance Images based on Knowledge-guided Constrained Clustering. Accurate volumetric measurement of brain tissues is of critical importance in the study of many brain disorders, disease diagnosis, disease progression tracking and treatment monitoring. The study in this research will result in the development of a powerful computational technique that allows automatic volumetric measurement and analysis of brain tissues. The software developed in ....Automatic Brain Tissue Segmentation in Magnetic Resonance Images based on Knowledge-guided Constrained Clustering. Accurate volumetric measurement of brain tissues is of critical importance in the study of many brain disorders, disease diagnosis, disease progression tracking and treatment monitoring. The study in this research will result in the development of a powerful computational technique that allows automatic volumetric measurement and analysis of brain tissues. The software developed in this project will expedite early clinical diagnosis and treatment of neural diseases for patients, hence saving life and reducing health cost both at the personal and the national level. Read moreRead less