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(Created page with "== Short Description == Ultrasound imaging is a non-invasive imaging technique that provides visible information on the structure of musculoskeletal tissues and organs. Thanks...")
 
 
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* C
 
* C
  
===Status: Available ===
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===Status: Completed ===
: Looking for Interested Students
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Louis Meile
 
: Supervision: [[:User:Vsergei|Sergei Vostrikov]], [[:User:Cosandre|Andrea Cossettini]]
 
: Supervision: [[:User:Vsergei|Sergei Vostrikov]], [[:User:Cosandre|Andrea Cossettini]]
  
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: 20% Literature Study
 
: 20% Literature Study
 
: 80% Coding
 
: 80% Coding
 
  
 
===Professor===
 
===Professor===
 
: [http://www.iis.ee.ethz.ch/portrait/staff/lbenini.en.html Luca Benini]
 
: [http://www.iis.ee.ethz.ch/portrait/staff/lbenini.en.html Luca Benini]
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===Practical Details===
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* '''[[Project Plan]]'''
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* '''[[Project Meetings]]'''
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* '''[[Final Report]]'''
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* '''[[Final Presentation]]'''
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[[#top|↑ top]]
 
[[#top|↑ top]]
 
[[Category:Digital]]
 
[[Category:Digital]]
[[Category:Available]]
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[[Category:Completed]]
 
[[Category:Semester Thesis]]
 
[[Category:Semester Thesis]]
[[Category:Master Thesis]]
 
 
[[Category:Cosandre]]
 
[[Category:Cosandre]]
 
[[Category:Vsergei]]
 
[[Category:Vsergei]]
[[Category:System Design]]
 
 
[[Category:LightProbe]]
 
[[Category:LightProbe]]
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[[Category:Ultrasound]]
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[[Category:2021]]
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[[Category:2022]]

Latest revision as of 16:57, 16 September 2022

Short Description

Ultrasound imaging is a non-invasive imaging technique that provides visible information on the structure of musculoskeletal tissues and organs. Thanks to the increased availability of digital computation capabilities, fully-digital ultrasound systems are progressively replacing the more expensive and bulky analog solutions. In a fully-digital solution, the ultrasound signals are digitized directly on the probe, and sent to a commodity device (e.g. PC) for further processing. To support continuous imaging with high frame rates, the remote PC should perform efficient image reconstruction with minimal execution time.

Goal & Tasks

The goal of the mini-project is to optimize ultrasound signal processing routines and the Delay-And-Sum image reconstruction algorithm with PyCuda. The optimized code will be integrated into the PyBF ultrasound beamformer library developed at IIS.


Prerequisites

  • Python (sklearn, tensorflow)
  • C

Status: Completed

Louis Meile

Supervision: Sergei Vostrikov, Andrea Cossettini

Character

20% Literature Study
80% Coding

Professor

Luca Benini

Practical Details

↑ top