Surya Mohan Prerapa - Projects
Page Under Construction- nEUROpt(Non-invasive imaging of brain function and disease by pulsed near infrared light):
The project aims at the development and clinical validation of advanced non-invasive optical methodologies for in-vivo diagnosis, monitoring and prognosis of major neurological diseases (e.g stroke, epilepsy, ischemia) based on diffuse optical imaging by pulsed near infrared light. Established diagnostic imaging modalities (e.g. X-ray Computed Tomography, Magnetic Resonance Imaging, Positron Emission Tomography) provide 3D anatomical, functional or pathological information with spatial resolution in the millimetre range. However these methods cannot be applied continuously or at the bedside. Diffuse optical imaging is expected to provide a valuable complementing tool to assess perfusion and blood oxygenation in brain tissue and their time evolution in a continuous or quasi-continuous manner. The devices will be portable and comparably inexpensive and can be applied in adults and in children. Time-domain technique are acknowledged as offering superior information content and sensitivity compared to other optical methods, allowing for separation between contributions of surface tissues (skin and skull) and brain tissue. Time-domain imaging can also differentiate between the effects of scatter and those of absorption. The consortium plans major developments in technology and data analysis that will enhance time-domain diffuse optical imaging with respect to spatial resolution, sensitivity, quantification of robustness as well as performance of related instruments in clinical diagnosis and monitoring. The diagnostic value of time-domain diffuse optical imaging will be assessed by clinical pilot studies addressing specific neurological disorders, in comparison with established neurophysiological and neuroimaging techniques. Perspectives regarding clinical application of time-domain diffuse optical brain imaging will be estimated and reliable basis for a potential commercialisation of this novel technique by European system manufacturers will be created.
- PASOT(Parameter and Structure identification in Optical Tomography ):
The purpose of this project is to expand and underpin the basic mathematical and computational tools for the inverse problem in optical tomography, leading to faster, more accurate and more robust reconstruction. Development of a generic software which will be made availabe to the Inverse Problems community in general and the Optical Tomography community in particular is the primary goal of this project. The specific aims of the research are as follows:
- To develop approximation error theory for incorporating model errors into image reconstruction.
- To construct Bayesian priors incorporating statistical and spectral information.
- To develop anatomical Bayesian priors, including priors based on multimodality imaging.
- To develop methods for simultaneous reconstuction and classification.
Investigators:
Simon Arridge, Simon Prince, Adam Gibson and Jeremy Hebden - To develop approximation error theory for incorporating model errors into image reconstruction.