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IMAGE RECONSTRUCTION FOR REAL TIME DUAL-MODE ULTRASOUND PULSE ECHO AND OPTOACOUSTIC IMAGING.
Combining different imaging modalities is of great interest for the clinicians as they all provide different biological and anatomical information. Here, we want to combine ultrasound and optoacoutic imaging in a dual-mode imaging system. Specific sparse reconstruction schemes have to be developed.
From MRI to Echography, many different medical imaging modalities are used in the clinic today for diagnosis or treatment monitoring. Each modality usually provides a specific biological contrast and has its own constraints or drawbacks and clinicians often must use them sequentially to get all the information they need. It however implies registering very different looking images in post-processing, to corroborate insights from all the modalities.
Optoacoustic (OA) and contrast enhanced pulse echo ultrasound (US) imaging are based on the same kind of hardware and yet provide different contrasts – functional and metabolic information for OA imaging (oxy and deoxy haemoglobin blood composition for instance), and haemodynamic or anatomical information for US imaging. Combining them in a dual mode imaging system would thus be of great interest, as functional information could be directly mapped onto very precise anatomical images (see Figure 1). However, building a high-quality ultrasound image using an opto-acoustic system is challenging, and requires advanced ultrasound sequences and reconstruction schemes.
From MRI to Echography, many different medical imaging modalities are used in the clinic today for diagnosis or treatment monitoring. Each modality usually provides a specific biological contrast and has its own constraints or drawbacks and clinicians often must use them sequentially to get all the information they need. It however implies registering very different looking images in post-processing, to corroborate insights from all the modalities. Optoacoustic (OA) and contrast enhanced pulse echo ultrasound (US) imaging are based on the same kind of hardware and yet provide different contrasts – functional and metabolic information for OA imaging (oxy and deoxy haemoglobin blood composition for instance), and haemodynamic or anatomical information for US imaging. Combining them in a dual mode imaging system would thus be of great interest, as functional information could be directly mapped onto very precise anatomical images (see Figure 1). However, building a high-quality ultrasound image using an opto-acoustic system is challenging, and requires advanced ultrasound sequences and reconstruction schemes.
In this project, the student is expected to develop image reconstruction algorithms to optimize the ultrasound imaging sequence. Specifically, model-based reconstruction solutions should be explored, to allow high quality image reconstruction, with a sparse acquisition of the ultrasound data in order to increase the imaging speed of our system. Experience in inverse problems as well as advanced skills in programing (MATLAB, CUDA) are important for this project. After understanding the scope of the project, the student is expected to work independently. Experience in acoustics, wave physics or other imaging modalities are of advantage.
[1] S. Gottschalk, T. F. Fehm, X. L. Deán-Ben, V. Tsytsarev, and D. Razansky, “Correlation between volumetric oxygenation responses and electrophysiology identifies deep thalamocortical activity during epileptic seizures,” Neurophotonics, vol. 4, no. 1, p. 011007, Oct. 2016.
[2] O. Couture, V. Hingot, B. Heiles, P. Muleki-Seya, and M. Tanter, “Ultrasound localization microscopy and super-resolution: A state of the art,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 65, no. 8, pp. 1304–1320, 2018.
In this project, the student is expected to develop image reconstruction algorithms to optimize the ultrasound imaging sequence. Specifically, model-based reconstruction solutions should be explored, to allow high quality image reconstruction, with a sparse acquisition of the ultrasound data in order to increase the imaging speed of our system. Experience in inverse problems as well as advanced skills in programing (MATLAB, CUDA) are important for this project. After understanding the scope of the project, the student is expected to work independently. Experience in acoustics, wave physics or other imaging modalities are of advantage.
[1] S. Gottschalk, T. F. Fehm, X. L. Deán-Ben, V. Tsytsarev, and D. Razansky, “Correlation between volumetric oxygenation responses and electrophysiology identifies deep thalamocortical activity during epileptic seizures,” Neurophotonics, vol. 4, no. 1, p. 011007, Oct. 2016. [2] O. Couture, V. Hingot, B. Heiles, P. Muleki-Seya, and M. Tanter, “Ultrasound localization microscopy and super-resolution: A state of the art,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 65, no. 8, pp. 1304–1320, 2018.
Please send a brief introduction, CV and transcripts of records from your current studies to Justine Robin: jrobin@ethz.ch
Please send a brief introduction, CV and transcripts of records from your current studies to Justine Robin: jrobin@ethz.ch