Difference between revisions of "Visualizing Functional Microbubbles using Ultrasound Imaging"
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===Status: Available === | ===Status: Available === | ||
: Looking for Interested Students | : Looking for Interested Students | ||
− | : Supervision: [[:User: | + | : Supervision: [[:User:Cosandre|Andrea Cossettini]], [[:User:Vsergei|Sergei Vostrikov]], Dragana Ristanovic <dragana.ristanovic@hest.ethz.ch> |
===Character=== | ===Character=== |
Revision as of 11:41, 20 October 2020
Contents
Short Description
Over the past 15 years, microbubbles have emerged as an appealing contrast agent for ultrasound imaging. They are typically composed of a thin shell – often a lipid monolayer – that is surrounding and stabilizing a gas core. Image contrast derives from nonlinear backscattering of acoustic waves upon exposure to acoustic pressure - a result of microbubble size oscillation that depends on microbubble size and other properties. We aim to design a process to detect differences in acoustic responses of functional microbubbles using an ultrasound imaging probe.
This is a joint project with the Responsive Biomedical Systems Lab of Prof. Simone Schürle (D-HEST)
Goal & Tasks
The goal of the project is to design an imaging mode that can visualize different functional microbubbles within an ultrasound image. The main tasks of this project are:
- Literature study of current microbubble imaging techniques.
- Design an imaging technique for our given setup.
- Verify the designed technique using simulations.
- Implement the designed technique on one of our ultrasound imaging systems
- Verify the designed technique in an in-vitro setup.
- Assess the quality of the bubble visualization in a quantifiable way.
Prerequisites
- Signal processing basics
- MATLAB
Status: Available
- Looking for Interested Students
- Supervision: Andrea Cossettini, Sergei Vostrikov, Dragana Ristanovic <dragana.ristanovic@hest.ethz.ch>
Character
- 10% Literature Study
- 30% Simulations of the Imaging Process
- 30% Evaluations (including work in the Lab)
- 30% Implementation