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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:Phager|Pascal Hager]], Dragana Ristanovic <dragana.ristanovic@hest.ethz.ch>
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: Supervision: [[:User:Cosandre|Andrea Cossettini]], [[:User:Vsergei|Sergei Vostrikov]], Dragana Ristanovic <dragana.ristanovic@hest.ethz.ch>
  
 
===Character===
 
===Character===
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[[Category:Master Thesis]]
 
[[Category:Master Thesis]]
 
[[Category:UltrasoundToGo]]
 
[[Category:UltrasoundToGo]]
[[Category:Phager]]
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[[Category:Cosandre]]
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[[Category:Vsergei]]
 
[[Category:System Design]]
 
[[Category:System Design]]
 
[[Category:LightProbe]]
 
[[Category:LightProbe]]

Revision as of 10:43, 20 October 2020

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

Professor

Luca Benini
Simone Schürle

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