Difference between revisions of "Ultrasound signal processing acceleration with CUDA"
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− | ===Status: | + | ===Status: Completed === |
− | + | Louis Meile | |
: Supervision: [[:User:Vsergei|Sergei Vostrikov]], [[:User:Cosandre|Andrea Cossettini]] | : Supervision: [[:User:Vsergei|Sergei Vostrikov]], [[:User:Cosandre|Andrea Cossettini]] | ||
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===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] | ||
+ | |||
+ | ===Practical Details=== | ||
+ | * '''[[Project Plan]]''' | ||
+ | * '''[[Project Meetings]]''' | ||
+ | * '''[[Final Report]]''' | ||
+ | * '''[[Final Presentation]]''' | ||
+ | |||
[[#top|↑ top]] | [[#top|↑ top]] | ||
[[Category:Digital]] | [[Category:Digital]] | ||
− | [[Category: | + | [[Category:Completed]] |
[[Category:Semester Thesis]] | [[Category:Semester Thesis]] | ||
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[[Category:Cosandre]] | [[Category:Cosandre]] | ||
[[Category:Vsergei]] | [[Category:Vsergei]] | ||
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[[Category:LightProbe]] | [[Category:LightProbe]] | ||
+ | [[Category:Ultrasound]] | ||
+ | [[Category:2021]] | ||
+ | [[Category:2022]] |
Latest revision as of 16:57, 16 September 2022
Contents
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