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
Brain connectome: from synapse, large-scale network to behaviour. This project aims to investigate how behaviour shapes the large-scale network synchrony by determination of task-specific networks using whole-brain resting-state functional Magnetic Resonance Imaging (MRI) and its relationship with synaptic plasticity. Enhanced synaptic connectivity has been suggested as a mechanism of memory but the system-level circuit dynamics in memory process are not clear. The outcome is anticipated to brid ....Brain connectome: from synapse, large-scale network to behaviour. This project aims to investigate how behaviour shapes the large-scale network synchrony by determination of task-specific networks using whole-brain resting-state functional Magnetic Resonance Imaging (MRI) and its relationship with synaptic plasticity. Enhanced synaptic connectivity has been suggested as a mechanism of memory but the system-level circuit dynamics in memory process are not clear. The outcome is anticipated to bridge the knowledge gap between brain and behaviour.Read moreRead less
Brain structure and function of neonates at risk for stuttering. The aim of the project is to determine whether the brain abnormalities that have been found in people who stutter are present at birth. The hypothesis is that the brains of neonates who subsequently start to stutter will differ significantly from those who do not. This is the first project to investigate the brains of infants before they start to stutter.
Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are inn ....Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are innovative semi-automated nephron visualisation and quantitation tools that enable efficient renal phenotyping. Techniques tailored to widely accessible preclinical research scanners are expected to accelerate research into genetic and environmental factors affecting kidney microstructure in embryonic and post-natal life.Read moreRead less