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Advanced image reconstruction and post-processing for optoacoustic and ultrasound biomicroscopy
Optoacoustic biomicroscopy is emerging as a promissing tool to look at the brain of small animals with high resolution. Current image reconstruction methods are limited and more advanced methods are required to unleash all the potential of this neuroimaging technique.
Optoacoustic imaging relies on the detection of ultrasonic waves generated by absorption of short-duration light pulses. This method is emerging as the most fascinating bioimaging tool of the decade. We have developed a fast scanning hybrid optoacoustic/ultrasonic biomicroscope to be applied in functional neuroimaging of small animals and several algorithms (Estrada et al. Sci. Rep. 2018, Turner et al. Optica 2017, Estrada et al. Proc. SPIE 2019) based on the physics of ultrasound wave propagation. Critical for transcranial imaging reconstruction is the estimation of the skull elastic constants from pulse-echo ultrasound, which needs further improvement. Our model could be extended to material testing systems using a similar geometry. In addition, model-based image reconstruction strategies, which have been successfully applied in tomography, should be explored in our microscope.
Good programming skills (either MATLAB or C/C++ or python) are required. Familiarity with wave physics theory is a bonus.
Optoacoustic imaging relies on the detection of ultrasonic waves generated by absorption of short-duration light pulses. This method is emerging as the most fascinating bioimaging tool of the decade. We have developed a fast scanning hybrid optoacoustic/ultrasonic biomicroscope to be applied in functional neuroimaging of small animals and several algorithms (Estrada et al. Sci. Rep. 2018, Turner et al. Optica 2017, Estrada et al. Proc. SPIE 2019) based on the physics of ultrasound wave propagation. Critical for transcranial imaging reconstruction is the estimation of the skull elastic constants from pulse-echo ultrasound, which needs further improvement. Our model could be extended to material testing systems using a similar geometry. In addition, model-based image reconstruction strategies, which have been successfully applied in tomography, should be explored in our microscope. Good programming skills (either MATLAB or C/C++ or python) are required. Familiarity with wave physics theory is a bonus.
The student should a) work in the improvement of the extraction of the skull elastic constants using a genetic algorithm, b) extend the applicability of our wave model to non-destructive testing of materials, and c) explore the use of a model-based reconstruction algorithm using full wave skull model and simplified analytical approximations.
The student should a) work in the improvement of the extraction of the skull elastic constants using a genetic algorithm, b) extend the applicability of our wave model to non-destructive testing of materials, and c) explore the use of a model-based reconstruction algorithm using full wave skull model and simplified analytical approximations.
Please send a brief introduction and your CV to Dr. Héctor Estrada, hector.estrada@posteo.org, Prof. Daniel.Razansky danir@ethz.ch
Please send a brief introduction and your CV to Dr. Héctor Estrada, hector.estrada@posteo.org, Prof. Daniel.Razansky danir@ethz.ch