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Improving optical brain imaging with Neural Network
We are looking for a highly motivated master or bachelor student, who is ready to face challenges in research and engineering. Together we will further develop NIR imaging technology for neonatal brain, namely:
IMPROVE BRAIN IMAGING WITH THE HELP OF NEURAL NETWORK
You will analyse the state-of-the-art reconstruction process in NIROT and investigate the ways to facilitate it with the focus on neural network. With the current deterministic approach, it takes 10-15 minutes to produce a tomogram. Our goal is to reduce this time to 1 min.
This project is the first step in a cascade of research. The ultimate goal is to develop new reconstruction algorithm that enables real-time optical tomography, which is hardly needed in neonatal intensive care, and will improve (and save) lives of thousands yearly born extreme preterms.
The project is hosted by Biomedical Optics Research Laboratory (BORL), Dept. of Neonatology, University Hospital Zurich. The lab has an expertise in NIRS and NIROT, including clinical applications. Since we are part of the hospital, we offer insights into clinical everyday life and the true needs of clinicians. In addition, we are an interdisciplinary team with a great spirit that offers you an exciting environment.
You will analyse the state-of-the-art reconstruction process in NIROT and investigate the ways to facilitate it with the focus on neural network. With the current deterministic approach, it takes 10-15 minutes to produce a tomogram. Our goal is to reduce this time to 1 min. This project is the first step in a cascade of research. The ultimate goal is to develop new reconstruction algorithm that enables real-time optical tomography, which is hardly needed in neonatal intensive care, and will improve (and save) lives of thousands yearly born extreme preterms. The project is hosted by Biomedical Optics Research Laboratory (BORL), Dept. of Neonatology, University Hospital Zurich. The lab has an expertise in NIRS and NIROT, including clinical applications. Since we are part of the hospital, we offer insights into clinical everyday life and the true needs of clinicians. In addition, we are an interdisciplinary team with a great spirit that offers you an exciting environment.
Pave new ways for real-time TD NIROT tomogram reconstruction.
Pave new ways for real-time TD NIROT tomogram reconstruction.
Contact: Alexander Kalyanov
email: alexander.kalyanov@uzh.ch
tel.: 043 253 3031
Contact: Alexander Kalyanov email: alexander.kalyanov@uzh.ch tel.: 043 253 3031